롯데이노베이트는 기존 국내 편의점에서 주로 사용하는 윈도우 기반 대신 안드로이드 운영체제를 바탕으로 판매시점 정보관리 기기(POS)를 개발했다. 스마트폰이나 태블릿 PC를 다루는 것처럼 친숙하고 편리한 환경을 제공해 경영주들의 접근성을 강화했다는 설명이다. 또한 안드로이드 운영체제의 개방성을 활용해 POS 기능 외에도 다양한 업무용 앱을 손쉽게 사용할 수 있도록 설계돼 점포 운영의 유연성과 확장성을 높였다.
클라우드 기반으로 운영되는 안드로이드 POS 시스템은 데이터 보안성이 뛰어나고 시스템 업데이트와 유지보수도 용이하다. 롯데이노베이트는 경영주들의 실제 사용 경험을 바탕으로 설계돼 매장 운영에 실질적인 도움을 줄 수 있다고 설명했다. 해당 시스템은 기존 무거운 POS와 비교해 태블릿 PC형태로 더욱 가볍고 이동이 자유로워졌으며, 자주 사용하는 메뉴를 직접 설정할 수 있는 ‘나만의 메뉴’, 야간에 눈의 피로를 줄여주는 ‘다크 모드’등 사용자를 배려한 기능도 적용됐다.
롯데이노베이트는 올해부터 세븐일레븐과 협력하여 신규 점포를 중심으로 안드로이드 기반 클라우드 POS를 도입하고, 향후 전국 모든 세븐일레븐 점포로 확대 적용할 계획이다.
롯데이노베이트 관계자는 “이번 안드로이드 클라우드 POS 개발은 새로운 시스템 도입을 넘어, 편의점 업계에 스마트 운영의 새로운 표준을 제시하는 이정표가 될 것”이라며 “앞으로 AI 기반 고객 맞춤형 광고 등 지속적인 기술 혁신을 통해 경영주와 고객 모두에게 더 나은 편의점 경험을 제공하고, 효율적인 매장 운영을 지원할 것”이라고 말했다. dl-ciokorea@foundryco.com
CIO 입장에서 AI를 둘러싼 논의는 혁신에서 오케스트레이션 단계로 발전했다. 오랫동안 인간의 조율과 통제 영역이었던 프로젝트 관리는 지능형 시스템이 프로젝트 진행 및 성과를 어떻게 재편하고 변혁을 가속하는지 시험하는 무대로 빠르게 부상하고 있다.
산업군을 막론하고 모든 기업 CIO는 AI의 약속을 운영 측면에서 수치화해야 한다는 과제를 안고 있다. 프로젝트 기간 단축, 간접비 감소, 포트폴리오 투명성 제고 같은 지표로 어떻게 설명할 것인가 하는 문제다. 조지아 공과대학교가 2025년에 프로젝트 관리 전문가와 C 레벨 기술 리더 217명을 대상으로 진행한 연구에 따르면, 조사 대상 기업의 73%가 어떤 형태로든 프로젝트 관리 영역에 AI를 도입했다고 응답했다.
하지만 이런 열기 속에서도 AI가 프로젝트 매니저(PM)의 역할을 어떻게 재정의할 것인지, 향후 비즈니스 혁신 프로그램의 프레임워크를 어떻게 규정할 것인지에 대한 질문은 여전히 남아 있다.
역할은 바뀌지만 PM의 중요성은 그대로
이미 여러 산업에서 프로젝트 전문가는 변화를 체감하고 있다. 이번 조사에서 AI를 일찍 도입한 기업은 프로젝트 효율성이 최대 30%까지 향상됐다고 보고했지만, 성공 여부는 기술 자체보다 리더십이 AI 활용을 어떻게 통제하느냐에 더 크게 좌우됐다. 응답자의 압도적 다수는 AI가 효율성, 예측 기반 계획, 의사결정 개선에 매우 효과적이었다고 평가했다. 그렇다면 프로젝트를 실제로 운영하는 실무자에게 이 변화는 무엇을 의미할까?
응답자의 약 1/3은 AI 덕분에 PM이 일상적인 일정·업무 조정에서 벗어나 장기적인 성과를 이끄는 전략적 총괄 역할에 더 집중할 수 있을 것이라고 예상했다. 또 다른 1/3은 PM이 팀 전반에서 AI 인사이트를 해석해 통합하는 촉진자 역할을 수행하며 협업을 강화하는 방향으로 진화할 것이라고 내다봤다. 나머지 응답자는 PM이 알고리즘의 윤리성, 정확도, 비즈니스 목표 정렬 여부를 관리·감독하는 AI 시스템 감독자로 변모할 것이라고 전망했다.
이런 시각은 하나의 결론으로 모인다. AI가 PM을 대체하지는 않지만, PM의 가치를 재정의할 것이라는 점이다. 앞으로 등장할 PM은 업무 목록만 관리하는 사람이 아니라 지능을 관리하고, AI 기반 인사이트를 비즈니스 성과로 번역하는 역할을 수행하게 된다.
PMO가 서둘러야 하는 이유
PMO(Project Management Office)에게 과제는 더 이상 AI를 도입할지 여부가 아니라 어떻게 도입할지이다. 대기업이라면 대부분 일정 예측, 자동 리스크 보고, 문서 작성을 위한 생성형 AI 등 다양한 영역에서 이미 실험을 진행하고 있어 AI 채택 속도는 빨라지고 있다. 하지만 실제 통합 수준은 기업마다 들쭉날쭉하다.
여전히 많은 PMO가 AI를 전략 역량이 아닌 도구 모음 수준의 부가 기능 정도로 취급한다. 하지만 AI의 핵심은 판단 증강과 자동화에 있다. 진정한 경쟁우위를 확보하는 기업은 AI를 프로젝트 방법론, 거버넌스 프레임워크, 성과 지표에 깊이 내재화하고, 다음 다섯 가지 접근법을 염두에 두고 움직인다.
1. 파일럿 프로젝트부터 시작하라
작게 시작해 빠르게 확장하라. 가장 성공적인 AI 통합은 프로젝트 상태 보고 자동화, 일정 지연 예측, 자원 병목 식별 같은 명확한 사용례를 겨냥한 소규모 시범 적용에서 출발한다. 이런 파일럿 프로젝트는 눈에 보이는 성과를 만들고 조직 내 기대감을 높이며, 통합 과정에서 발생하는 기술과 프로세스 문제를 초기 단계에 드러내 준다.
2. 활동량이 아니라 가치를 측정하라
AI를 도입하면서도 명확한 성과 지표 없이 추진하는 실수가 자주 발생한다. PMO는 수동 보고 시간 감소, 리스크 예측 정확도 향상, 프로젝트 사이클 단축, 이해관계자 만족도 제고 같은 구체적인 KPI를 설정해야 한다. 이런 결과를 조직 전체에 공유하는 일도 성과 못지않게 중요하다. 성공 사례를 적극적으로 알리면 모멘텀을 키우고 동의를 이끌어 내고, AI에 회의적인 팀의 인식을 바꾸는 데 도움이 된다.
3. PM 역량을 업그레이드하라
AI의 가치는 결국 그것을 활용하는 사람의 역량에 달려 있다. 설문에 응답한 전문가의 거의 절반은 숙련 인력 부족을 AI 통합의 주요 장벽으로 꼽았다. 프로젝트 매니저가 데이터 과학자가 될 필요는 없지만, AI의 기본 개념, 알고리즘이 작동하는 방식, 편향이 발생하는 지점, 데이터 품질의 의미 정도는 이해해야 한다. 앞으로 가장 영향력이 큰 PM은 데이터 리터러시와 함께 비판적 사고, 감정 지능, 커뮤니케이션 같은 인간 중심 리더십을 겸비한 인재가 될 것이다.
4. 거버넌스와 윤리를 강화하라
AI 활용이 늘어날수록 알고리즘이 프로젝트 의사결정에 영향을 미칠 때 윤리적 문제가 대두된다. PMO는 투명성, 공정성, 인간의 최종 감독을 강조하는 AI 거버넌스 프레임워크를 수립하는 데 앞장서야 한다. 이런 원칙을 PMO의 헌장과 프로세스에 녹여두면 리스크를 줄이는 데 그치지 않고 프로젝트 이해관계자 사이에 신뢰를 쌓는 기반을 마련할 수 있다.
5. PMO에서 BTO로 진화하라
전통적인 PMO는 범위, 일정, 비용 관점에서 프로젝트 실행에 초점을 맞춘다. 하지만 AI를 적극 활용하는 기업은 프로젝트를 비즈니스 가치 창출과 직접 연결하는 BTO(Business Transformation Office)로 진화하는 추세다. PMO가 프로젝트를 ‘제대로’ 수행하는 데 초점을 둔다면, BTO는 ‘올바른’ 프로젝트를 선택해 성과를 내는 데 초점을 둔다. 이 프레임워크의 핵심 요소는 워터폴 방식에서 애자일 마인드셋으로의 전환이다. 프로젝트 관리는 경직된 계획 중심에서 반복적이고 고객 중심이며 협업적인 방식으로 이동했고, 하이브리드 방법론이 점점 일반적인 선택이 되고 있다. 이런 애자일 접근법은 AI와 디지털 혁신이 촉발하는 급격한 변화를 따라가기 위해 필수적인 조건이다.
프로젝트 관리자를 위한 새로운 경력 개발
2030년 무렵이 되면 상태 업데이트, 일정 수립, 리스크 경고처럼 반복적인 프로젝트 업무 상당 부분을 AI가 처리하고, 인간 책임자는 비전, 협업, 윤리에 집중하는 그림이 현실이 될 수 있다. 이런 변화는 애자일 확산과 디지털 트랜스포메이션처럼 과거 프로젝트 관리 혁신 흐름을 닮았지만, 전개 속도는 훨씬 빠르다.
하지만 기업이 점점 더 많은 AI를 도입하면 할수록 인간적 요소를 잃을 위험도 커진다. 프로젝트 관리는 언제나 사람에 관한 일이고, 이해관계를 맞추고 갈등을 해결하며 팀에 동기를 부여하는 과정이다. AI는 일정 지연을 예측할 수는 있지만, 지연을 만회하도록 팀을 격려할 수는 없다. 뉘앙스를 해석하고 신뢰를 구축하며, 협업을 촉진하는 PM의 인간적 능력은 여전히 대체 불가능하다.
이제 행동에 착수해야 할 시간
AI는 기업 프로젝트 진행 및 성과의 첨병이 될 것이다. 앞으로 10년은 PMO와 경영진, 정책 입안자가 이런 진화를 얼마나 잘 관리하는지 시험하는 시간이 될 것이다. 성공하기 위해 기업은 플랫폼만큼 사람에 투자하고, 윤리적이고 투명한 거버넌스를 채택하며, 지속적인 학습과 실험 문화를 조성하고, 과대광고가 아닌 실제 성과로 성공 여부를 판단해야 한다.
CIO에게는 이미 분명한 과제가 주어졌다. 비전으로 이끌고 높은 윤리 기준으로 거버넌스를 수행하며, 지능형 도구로 팀에 힘을 실어줘야 한다. AI는 프로젝트 관리 직무를 위협하는 존재가 아니라 그 역할을 재탄생시키는 촉매제다. 책임 있게 실행할 경우 AI 기반 프로젝트 관리는 운영 효율을 높이는 데 그치지 않고, 변화에 민첩하게 대응하면서도 사람 중심 가치를 유지하는 기업을 만드는 기반이 된다. 이런 변화를 신중하게 수용하면 PM은 단순한 관리자를 넘어 변화의 설계자로 도약할 수 있다. dl-ciokorea@foundryco.com
포티넷이 자사 위협 인텔리전스 조직인 포티가드 랩스(FortiGuard Labs)를 통해 ‘2026 사이버 위협 전망 보고서(Fortinet Cyberthreat Predictions Report for 2026)’를 공개했다. 보고서는 사이버 범죄가 AI와 자동화, 전문화된 공급망을 기반으로 빠르게 산업화하고 있으며, 2026년에는 혁신 자체보다 위협 인텔리전스를 얼마나 빠르게 실행할 수 있는지, 즉 처리 속도가 공격과 방어의 성패를 좌우하는 핵심 기준이 될 것으로 분석했다.
보고서는 침해 과정이 AI와 자동화 도구로 인해 크게 단축되고 있다고 설명했다. 공격자들은 새로운 도구를 만들기보다 이미 효과가 입증된 공격 기법을 자동화·고도화하는 방식으로 효율을 극대화하고 있다. AI 시스템은 정찰, 침투 가속, 데이터 분석, 협상 메시지 생성까지 공격 과정 전반을 자동화하며, 다크웹에는 최소 개입만으로 일련의 공격 절차를 수행하는 자율형 범죄 에이전트까지 등장하고 있다.
이로 인해 공격 처리량은 기하급수적으로 증가하는 양상을 보인다. 과거 몇 건의 랜섬웨어만 운영하던 범죄자가 이제는 수십 건의 병렬 공격을 실행할 수 있게 됐으며, 침해 발생부터 실제 피해까지 걸리는 시간도 며칠에서 몇 분 단위로 축소되고 있다. 보고서는 이 같은 공격 속도 그 자체가 2026년 기업이 직면할 가장 큰 위험 요소가 될 것이라고 분석했다.
보고서에 따르면, 자격 증명 탈취, 횡적 이동, 데이터 수익화 등 공격 체인의 핵심 단계를 자동화하는 전문 AI 에이전트도 두드러지고 있다. 이런 시스템은 탈취한 데이터를 분석하고, 피해자 우선순위를 산정하며, 개인화된 협박 메시지를 생성해 데이터가 디지털 자산처럼 빠르게 금전화되는 환경을 만들어낸다.
지하 범죄 시장 역시 더욱 구조화되는 흐름을 보이고 있다. 산업·지역·시스템 환경에 맞춘 맞춤형 접근 권한 패키지가 유통되고 데이터 보강과 자동화를 통해 거래 정교화가 이뤄지고 있으며, 고객지원·평판 점수·자동 에스크로 등 합법 산업에서 볼 수 있는 요소가 도입되면서 사이버 범죄의 산업화가 한층 가속화되고 있다.
이 같은 공격 고도화 속에서 포티넷은 기업이 ‘머신 속도 방어(machine-speed defense)’ 체계를 갖추는 것이 필수적이라고 강조했다. 머신 속도 방어는 위협 인텔리전스 수집·검증·격리 과정을 연속적으로 자동화해 탐지와 대응 시간을 시간 단위에서 분 단위로 압축하는 운영 모델이다. 이를 위해 CTEM(지속적 위협 노출 관리), MITRE ATT&CK 프레임워크 기반 위협 매핑, 실시간 복구 우선순위화 등 데이터 기반의 연속 운영 체계가 요구된다.
또한 조직 내부에서 AI 시스템·자동화 에이전트·머신 간 통신이 폭발적으로 증가함에 따라 ‘비인간 아이덴티티(Non-Human Identity)’ 관리가 보안 운영의 새로운 핵심 축으로 자리 잡고 있다. 사람뿐 아니라 자동화된 프로세스와 기계 간 상호작용까지 인증·통제해야 대규모 권한 상승 및 데이터 노출을 방지할 수 있다는 의미다.
포티넷은 국제 공조 역시 필수 요소라고 설명했다. 인터폴의 세렝게티 2.0(Operation Serengeti 2.0)과 포티넷–크라임스톱퍼스(Fortinet–Crime Stoppers) 국제 사이버 범죄 현상금 프로그램은 범죄 인프라를 실제로 무력화하고 위협 신고 체계를 강화한 대표적인 사례다. 뿐만 아니라 청소년·취약 계층을 보호하기 위한 교육·예방 활동 확대도 장기적 관점에서 중요하다.
사이버 범죄 규모는 2027년이면 합법 산업에 버금갈 것으로 전망된다. 공격자는 다수의 AI 에이전트가 군집처럼 협력하는 스웜(swarm) 기반 자동화를 활용해 방어자 행동에 적응하며 공격을 전개할 것으로 보이며, AI·임베디드 시스템을 겨냥한 공급망 공격도 더욱 정교해질 전망이다. 이에 대응하기 위해 방어자는 예측 인텔리전스·자동화·노출 관리 역량을 강화해 공격자의 움직임을 보다 빠르게 파악하고 조기 차단할 수 있는 체계로 진화해야 한다.
보고서 집필팀은 “속도와 규모가 앞으로의 10년을 규정할 것”이라고 강조하며, 인텔리전스와 자동화, 보안 인력의 역량을 하나의 반응형 체계로 통합한 기업만이 미래 위협 환경에서 주도권을 확보할 수 있다고 결론지었다.
포티넷은 오는 16일 사이버 범죄 생태계와 앞으로 다가올 트렌드에 대한 인사이트를 공유하는 웨비나를 진행한다. 포티가드 랩의 디렉터인 요나스 워커가 연사로 참여한다. dl-ciokorea@foundryco.com
In 2025, privacy is no longer just a compliance obligation—it has become a strategic differentiator, a board-level priority, and a resilience factor that impacts trust, brand value, and long-term sustainability. With expanding digital ecosystems, multi-jurisdictional regulations, AI-powered decision systems, and unprecedented levels of data movement across borders, enterprises today face a privacy landscape that is more complex and fast-shifting than ever before.
Action:
Start a privacy inventory project this quarter — list your top 3 data sources and assign owners for each.
A Privacy Framework offers structured guidance, governance, methodologies, and operational mechanisms to ensure that personal information is collected, used, stored, processed, and shared in ways that are lawful, ethical, secure, and aligned with customer expectations. In recent years, global events—including the major flight disruption at IndiGo in December 2025—have demonstrated how operational failures, weak governance, unclear communication, and gaps in risk planning can severely impact trust. Even though the IndiGo incident was not a data breach, it highlighted how misalignment between regulation, internal capability, and operational readiness can trigger nationwide chaos. A strong privacy and governance framework would mitigate similar chaos in environments where personal data is involved.
Action:
Map one major operational process to privacy impact — e.g., customer refunds, cancellations — and identify data points used.
Why Organizations Need a Privacy Framework in 2025
Digital transformation, cloud technologies, AI-driven analytics, mobile adoption, and outsourcing have created a massive influx of structured and unstructured personal data. Business expansion across countries brings multi-jurisdictional privacy obligations. Meanwhile, customers are increasingly conscious about how their data is used, monitored, shared, monetized, or profiled. Market perception is now directly tied to privacy posture.
Action:
Run a rapid stakeholder survey (customers, partners) to capture top 3 privacy concerns within 30 days.
A Privacy Framework helps organizations operationalize data protection principles, embed privacy in business processes, implement technical and organizational safeguards, and ensure accountability through structured roles, auditability, and governance. It ensures that privacy is not a one-time project but a living, evolving capability.
Action:
Document a privacy governance RACI: who is Responsible, Accountable, Consulted, and Informed for your top 5 data flows.
Key Service Areas
Below table converts the main service activities into a quick-reference tabular layout.
Action:
Choose one service area to pilot with a small cross-functional team for 60 days.
Service Area
Key Activities
Regulations Coverage
Product Partners
Privacy Readiness
Privacy-by-Design
Privacy Maturity Assessment
Procedure Blueprinting
PIA / DPIA
Breach Response & Management
GDPR, CCPA, LGPD, PDPA, PIPEDA, APP
OneTrustBigID
PI Modelling & Mapping
Data Inventory
Data Flow Mapping
Data Modelling & Relationship
GDPR, Sectoral Laws
BigID
Data Subject Rights
DSAR Portal
Identity Validation
Individual Request Fulfilment
Records & Reporting
GDPR, CCPA, PDPA, PIPEDA
OneTrust
Consent & Cookie
Consent Categorisation
Consent Tracking & Revocation
Cookie Assessment & Scanning
GDPR, CCPA, ePrivacy (where applicable)
CookieScan
Platform Solutions
Platform Architecture & Blueprinting
Implementation & Integration
Monitoring Dashboards
AI Regulatory Analysis
Depends on deployment region
OneTrustCustom
Data-Centric View & Risk Landscape
Modern privacy management begins by understanding the data journey—collection, transformation, usage, storage, and archiving. This requires knowing data sources, processing activities, recipients, retention, and deletion flows.
Action:
Create a simple data-flow diagram for a single customer-facing process and keep it under 3 layers.
Typical data sources include CRM, customer services, retail systems, partner ecosystems, employee systems, and outsourcing providers. Each source adds complexity, and each requires controls mapped to legal and business obligations.
Action:
List top 5 external data partners and capture the legal basis or contract clause for data sharing with each.
Threats
Key Threats
Impact
External & Internal Attacks
Data breach, reputational loss
Identity theft
Legal, financial liabilities
Ransomware
Operational paralysis
Drivers
Driver
Key Factor
Regulatory Complexity
Multi-jurisdictional obligations
Market Demand
Privacy as competitive advantage
Technology
AI, Cloud, IoT
SVG Infographic — Data-Centric Privacy
Data SourcesControls & SafeguardsGovernanceProcess • Policy • PeopleConsumersPartners
Action:
Export this infographic as a PNG for stakeholder review and include it in your privacy charter deck.
Governance, Compliance & Case Study
A Privacy Framework must ensure governance, roles, monitoring, and auditability. It should include documented policies, periodic reviews, vendor oversight, and operational playbooks. Regulatory compliance alone is insufficient without implementation and continuous improvement.
Action:
Create a policy review calendar for the next 12 months and assign owners.
Real-world disruptions, like the IndiGo outage in December 2025, teach that failure modes are broader than cyberattacks. Operational or regulatory changes, poor communication, and lack of contingency planning can rapidly erode trust. The privacy parallel: a poorly handled data incident—slow notifications, confusing remediation, or no clear ownership—can cause similar reputational damage and regulatory exposure.
Action:
Draft a short incident communication template: what to say, whom to notify, and timelines for initial acknowledgement.
Issues & Challenges
Enterprises face practical hurdles that slow down privacy adoption. The table below summarises the most common challenges and suggested mitigation approaches.
Action:
Pick one challenge from the table and identify a low-cost pilot to address it within 45 days.
Issue
Why it matters
Mitigation
Low awareness
Employees and customers unaware of rights/risks
Targeted training; short micro-modules
Growth vs Privacy
Revenue goals may override privacy controls
Privacy risk scoring in product roadmap
Forced consent
Legal & reputational risk
Design clear, granular consent flows
Data complexity
High volumes, multiple formats
Automated discovery & classification
Budget constraints
Limits tool adoption & people
Phased tooling; focus on high-risk areas
The Way Forward
Adopt a data-centric and risk-based privacy strategy that combines strong governance, automated privacy operations, AI-enhanced compliance management, integrated incident response, transparent customer communication, comprehensive vendor oversight, scalable platform adoption, and continuous education.
Action:
Build a 90-day roadmap with milestones for governance, inventory, DSAR readiness, and one pilot automation.
The Privacy Framework must evolve with technology, regulation, and threats. It should be continuously measured, reviewed, and improved, and must be considered a strategic asset that enables business trust and sustainable growth.
Action:
Set up a monthly privacy KPI dashboard — include metrics like DSAR turnaround, PIA completion rate, and third-party control score.
Frequently Asked Questions (20)
Quick answers and guidance for executive and operational teams. The grid uses a 10x2 layout for clarity.
Action:
Select 5 FAQs relevant to your org and prepare short internal answers for stakeholder review.
1. What is a Privacy Framework?
A structured set of policies, processes, and controls to protect personal information across its lifecycle.
2. How does Privacy differ from Security?
Privacy focuses on lawful & ethical use of personal data; security provides the technical and operational safeguards.
3. What is PIA / DPIA?
Privacy Impact Assessment (PIA) or Data Protection Impact Assessment (DPIA) identifies privacy risks for projects/processes.
4. Which laws should global companies watch?
GDPR, CCPA, LGPD, PDPA, PIPEDA, APP and sectoral laws like HIPAA or GLBA.
5. What is Privacy-by-Design?
Embedding privacy into systems and processes from inception rather than as an afterthought.
6. How to handle DSARs efficiently?
Use portals, automation, identity validation, and standardized fulfilment workflows.
7. When is consent required?
Consent is required when processing lacks another valid legal basis or where explicit opt-in is mandated by law.
8. How often to review privacy policies?
At least annually, and whenever there is a significant product, legal, or operational change.
9. What role does AI play in privacy?
AI amplifies data processing risks and requires additional governance, explainability, and model monitoring.
10. How to prioritise privacy risks?
Use impact-likelihood scoring and focus on high-impact, high-likelihood scenarios first.
11. Is compliance enough?
No — compliance is a baseline. Operational readiness and culture are required for real protection.
12. How to manage third-party risk?
Contractual clauses, regular audits, data flow mapping, and continuous monitoring are essential.
13. What metrics track privacy health?
DSAR turnaround, PIA completion rate, incidents resolved, third-party control score, and training completion.
14. How to respond to a breach?
Follow your incident response plan: contain, assess, notify regulators & data subjects as required, remediate, and learn.
15. What is Data Minimization?
Collect only what is necessary and retain it no longer than required for the purpose.
16. How to handle cross-border transfers?
Use approved transfer mechanisms, SCCs, or ensure adequacy decisions where applicable.
17. Which tools help scale privacy?
OneTrust, BigID, Consent Management Platforms, DLP, and specialized DSAR tools.
18. How to integrate privacy in product dev?
Use privacy checklists, threat modelling, and mandatory PIAs for high-risk features.
19. How to train employees on privacy?
Micro-learning, role-based training, simulated DSAR exercises, and phishing/incident drills.
20. What is the ROI of privacy?
Reduced incident cost, improved customer trust, brand differentiation, and regulatory fines avoidance.
Keeping Security & GRC at the Forefront: Practical Guide
Keeping Security & GRC at the Forefront: Practical Guide
In today’s dynamic threat landscape — where cloud adoption, remote work, AI-driven attacks and stringent regulations are the norm — organisations must embed Security and GRC (Governance-Risk-Compliance) into every layer of business operations.
This guide offers a comprehensive yet practical roadmap to help you design, deploy and sustain a resilient security posture combining rigorous governance, risk-based controls, and audit readiness.
Governance defines the strategic framework for security and compliance — ensuring that every initiative aligns with business objectives, regulatory commitments, and corporate policy.
It sets the tone from leadership downward, determining how risk is accepted, mitigated, or transferred, what standards apply, and who owns what.
Without robust governance, even the best security tools and audit processes remain fragmented and ineffective.
A well-structured governance model codifies responsibilities for risk owners, compliance owners, control owners, and audit managers.
This clarity ensures accountability, standardizes decision-making, and enables measurable control performance across the organization.
2. Risk Management — Proactive & Dynamic
Risk management helps organisations anticipate and prioritize threats rather than react to incidents after they happen.
Modern risk management frameworks consider evolving factors — cloud adoption, supply-chain dependencies, third-party vendors, and the rapid rise of AI-powered threats — to evaluate what could go wrong, how likely it is, and how severe the impact would be.
Risk Management Life Cycle
Stage
Description
Risk Identification
Spot possible threats: cyber attacks, data leaks, vendor failures, regulatory fines.
Risk Analysis
Assess likelihood + impact (qualitative or quantitative).
Risk Evaluation
Compare risks against organisational tolerance or risk appetite.
Risk Treatment
Mitigate, transfer, accept, or avoid the risk via controls or process changes.
Continuous Monitoring
Track Key Risk Indicators (KRIs), re-evaluate after major changes (cloud, AI, vendor changes).
Embedding risk management into everyday operations — from project planning to technology adoption — helps organisations stay resilient.
As new threats emerge (like AI-driven ransomware or supply-chain risks), a living risk register becomes the strategic asset.
3. Compliance That Builds Trust & Enables Growth
Compliance used to be viewed as a checkbox for audits, but in modern businesses it’s a competitive differentiator.
Achieving and maintaining standards such as ISO 27001, GDPR/DPDP, PCI-DSS or SOC 2 enhances customer trust and unlocks new markets — especially when dealing with global clients.
A compliance program acts as a documented guarantee: employees follow defined processes, controls are regularly tested, and evidence is available for internal and external audits.
This ensures organisations stay audit-ready, avoid penalties, and maintain credibility with partners and regulators.
Core Benefits of a Strong Compliance Program
Benefit
Why It Matters
Customer & Partner Trust
Clients share sensitive data only if compliance standards are demonstrable.
Operational Discipline
Standardized controls reduce human error and enforce consistent practices.
Regulatory Readiness
Helps adapt quickly to changing laws and cross-border regulations.
Market Advantage
Certifications strengthen proposals during tenders and vendor evaluations.
4. Security Controls — The Active Defense Layer
Security controls are the real-world mechanisms that protect data, infrastructure, and users — from on-prem servers to cloud workloads and remote endpoints.
They form the active defense layer that complements risk assessments and compliance policies.
Categories of Security Controls
Type
Description
Examples
Preventive
Stop threats before they happen.
Firewalls, MFA, patch management, least privilege access
Detective
Detect suspicious or malicious events in real-time.
SIEM, IDS/IPS, log monitoring, anomaly detection
Corrective / Recover
Respond and recover from incidents or control failures.
In 2025 and beyond, many organizations are integrating **AI-driven security tools**, behavioral analytics, and automated detection — combining human oversight with machine speed to defend against advanced threats. :contentReference[oaicite:0]{index=0}
5. Continuous Monitoring & Incident Response — Always On
Threats evolve rapidly. Cloud misconfigurations, AI-powered malware, supply-chain compromises – these don’t wait for quarterly audits.
Continuous monitoring ensures that you have real-time visibility into system health, deviations, or suspicious activities, enabling quick response and mitigation.
A well-defined Incident Response Plan (IRP) ensures clear roles, escalation paths, communication protocols and recovery procedures.
Post-incident reviews feed back into risk management, compliance updates, and controls refinement — creating a feedback loop that improves cyber resilience over time.
6. People, Culture & Awareness — The Human Firewall
Even the most advanced tools and controls fail if users are unaware, untrained, or complacent.
A strong security culture transforms security from a top-down mandate into a shared team responsibility.
Awareness programs, phishing simulations, regular training, and embedding security in everyday workflows makes compliance and risk-based controls part of the organizational DNA.
This reduces human error, insider risks, and strengthens overall resilience.
Conclusion
Building a comprehensive GRC and security program isn’t just about ticking boxes — it’s about embedding resilience into your organization’s DNA.
By combining strong governance, dynamic risk management, compliance, security controls, continuous monitoring, and a security-first culture, you build robust cyber resilience.
In a world where cloud, remote operations, AI-driven threats, and evolving regulations define the landscape, this integrated approach becomes the backbone of sustainable business growth.
Start today: map your critical assets, classify risk levels, assign control owners, and define basic security & compliance processes.
Even small steps taken consistently are better than large efforts done occasionally.
Frequently Asked Questions – Security & GRC
1. What does “Keeping Security & GRC at the forefront” actually mean?
It means designing every business process with security and governance controls embedded from Day 1 to reduce risks, improve compliance, and strengthen decision-making.
2. Why is GRC important for modern organizations?
GRC ensures consistent governance, reduces compliance violations, aligns risk with business goals, and protects the brand reputation.
3. What is the role of continuous monitoring in GRC?
It provides real-time visibility into threats, control failures, policy deviations, and compliance gaps for faster decisions.
4. How does automation help in GRC?
Automation reduces manual audits, eliminates data entry errors, accelerates risk assessments, and improves control reporting accuracy.
5. What frameworks support strong GRC programs?
ISO/IEC 27001, ISO/IEC 42001, NIST CSF, SOC 2, COBIT, and GDPR form the backbone of most corporate governance structures.
6. How does GRC support cyber-resilience?
GRC integrates risk management, incident response, disaster recovery and ensures organizations remain operational during cyber events.
7. What is the difference between Governance and Compliance?
Governance defines ‘how decisions are made’; compliance ensures those decisions follow internal policies and external laws.
8. Why is risk assessment so important?
Risk assessment identifies vulnerabilities, attack surfaces, and business impacts, enabling prioritization of controls and budget.
9. How does AI enhance GRC?
AI improves anomaly detection, accelerates audits, automates documentation, and predicts risks using behavioural analytics.
10. What is the significance of internal audits?
Internal audits validate control effectiveness, ensure policy adherence, and prepare organizations for external certification audits.
11. Why should security posture be continuously updated?
Threats evolve daily, so updating controls, patching systems, and reviewing risks ensures organizations stay protected.
12. What final steps ensure long-term GRC maturity?
Regular audits, policy refresh cycles, leadership reporting, business continuity planning, and culture training maintain maturity.
Data Privacy Services Powered by Privacy Ops: Achieving Global Compliance
Data Privacy Services Powered by Privacy Ops
Achieving Global Compliance Through Automation and AI
Title & Introduction
The modern digital ecosystem demands more than mere compliance; it requires operationalized data privacy. The shift from ad-hoc responses to a systematic **Privacy Operations (Privacy Ops)** framework is essential for organizations dealing with vast amounts of personal information (PI). Privacy Ops integrates people, processes, and technology to manage privacy risks continuously and automatically, transforming the burden of compliance into a strategic asset. With the proliferation of regulations like GDPR, CCPA, and LGPD, manual systems are obsolete, making AI-driven, platform-enabled services the only sustainable path forward.
This article explores a comprehensive Privacy Ops solution, detailing its features, service offerings, and its ability to seamlessly manage global regulatory coverage through automation and integrated data management.
Core Service Features: The Power of Automation
A successful Privacy Ops framework is defined by its ability to reduce human error and scale quickly. The core features leverage technology to automate complex, high-volume tasks, significantly lowering **low people dependency**.
AI-Powered Regulatory Analysis
An **AI powered bot for regulatory obligations analysis** instantly scans changes in global laws. By partnering with **UCF (Unified Compliance Framework) for authority sources**, the platform ensures that compliance requirements are current and accurate, eliminating the manual effort required to track evolving privacy standards.
Unified Data Integration
Handling diverse data environments is crucial. The platform supports **50+ data stores integrated through API**, ensuring a holistic view of all personal information assets. This unified approach facilitates accurate Data Inventory and **Data flow mapping** for comprehensive PI Modelling.
Monitoring & Reporting
The system provides **Automated track and monitor status**, displayed via **Interactive and dynamic dashboards**. These dashboards offer real-time insights into compliance metrics, risk levels, and the status of **Data Subject Rights Management (DSRM)** requests, allowing for proactive intervention.
Beyond these, the offering includes **Customised templates**, website **scan**, full **consent management & reporting**, making the entire compliance lifecycle platform enabled and highly streamlined.
Holistic Service Offerings and Global Coverage
The service architecture addresses the entire privacy spectrum, from proactive readiness to reactive breach management, covering major global laws.
1. Privacy Readiness & Impact Assessment
This is the proactive phase. Services include establishing a culture of **Privacy by Design**, performing **Privacy Maturity Assessment & Procedure blueprinting**. Crucially, it manages **Data Protection Impact Assessment (DPIA)** and **Privacy Impact Assessment (PIA)** processes, which are mandatory under regulations like GDPR. Finally, a robust **Breach Response & Management** protocol is established for rapid and compliant incident handling.
2. Data Subject Rights Management (DSRM)
Managing the rights of data subjects (like access, erasure, and portability) is a major operational challenge under regulations like CCPA and GDPR. The solution provides a dedicated **Data Subject Access rights portal for intake**, implements **Data subject identity validation**, ensures **Individual Request Fulfillment**, and maintains necessary **Records & Reporting** for audit purposes.
3. Consent & Cookie Compliance
Modern compliance requires granular control over user consent. This service handles **Consent categorization and status**, along with **Consent tracking and fulfilment**. It includes **Cookies Assessment & Implementation** and continuous **Consent & Website Scanning** to ensure ongoing legal adherence to cookie policies globally.
4. Global Regulatory Coverage
The complexity of compliance is minimized by covering a wide range of mandates, including:
EU-General Data Protection Regulation (**GDPR**)
California Consumer Privacy Act (**CCPA**), US
Lei Geral de Proteção de Dados (**LGPD**), Brazil
Australian Privacy Principles (**APP**)
Personal Information Protection and Electronic Documents Act (**PIPEDA**), Canada
Personal Data Protection Act (**PDPA**), Singapore
This wide coverage, supported by product partners like **OneTrust** and **BigID**, ensures a single, harmonized approach to multiple regulatory challenges.
Visual Diagram: Privacy Ops Flow
The successful implementation of Privacy Ops follows a continuous loop, driven by data ingestion and AI analysis, leading to automated controls and feedback.
Data Ingestion AI Regulatory Analysis & PI MappingAutomated DSRM & ConsentDashboards & Continuous Monitoring
Exam-Oriented Tips
For certification exams in privacy and data protection, focus on the operational aspects and key regulatory instruments:
Mastering Acronyms and Scope
**DPIA vs. PIA:** Understand the specific triggers for a Data Protection Impact Assessment (GDPR) and the broader Privacy Impact Assessment (general best practice).
**DSRM (Data Subject Rights Management):** Focus on the 7-step process—from intake via portal to final fulfillment and record-keeping.
**Key Global Laws:** Memorize the scope and core rights provided by **GDPR, CCPA, and LGPD**, as they are frequently compared in scenario-based questions.
**Privacy by Design:** Know the 7 foundational principles, especially the proactive and preventative nature of the approach.
Practice questions involving data flow mapping and determining compliance requirements when data crosses international boundaries (e.g., EU data processed in Singapore).
FAQ (Markdown)
**Q1: What is the primary role of the AI-powered bot?**
A1: The AI bot analyzes regulatory updates and obligations from sources like UCF to ensure real-time compliance tracking.
**Q2: How does the platform handle global regulations?**
A2: It provides harmonized controls covering major laws including GDPR, CCPA, LGPD, PIPEDA, and PDPA, allowing for central management.
**Q3: What are the key steps in Data Subject Rights Management?**
A3: Intake via a dedicated portal, identity validation, fulfillment of the request (e.g., erasure), and maintaining audit records and reporting.
**Q4: What is the purpose of Data Flow Mapping?**
A4: To identify where personal data is collected, stored, processed, and shared (data inventory and relationship) across the 50+ integrated data stores.
**Q5: What is 'Privacy by Design'?**
A5: A proactive approach ensuring privacy and security are built into the system architecture and business processes from the start, not added later.
FAQ: Visual Summary
Q1: Primary role of the AI-powered bot?A1: Analyzes regulatory updates from UCF for real-time tracking.Q2: How does the platform handle global regulations?A2: Harmonized controls covering GDPR, CCPA, LGPD, PIPEDA, and PDPA.Q3: Key steps in Data Subject Rights Management?A3: Intake via portal, identity validation, request fulfillment, and audit records.Q4: Purpose of Data Flow Mapping?A4: To identify where PI is collected, stored, processed, and shared (Data Inventory).Q5: What is 'Privacy by Design'?A5: Proactive approach: privacy and security are built into the architecture from the start.
Auditing is a systematic and independent examination of processes, systems, or organizations to ensure compliance with established standards. A structured audit helps organizations identify gaps, mitigate risks, and promote continual improvement.
Auditing Principles & Benefits
Ethical Conduct, Fair Presentation, Due Professional CareVerified conformity, increases awareness & understandingIndependence & Evidence-Based ApproachReduces risks & identifies improvement opportunitiesContinuous ImprovementPerformed regularly ensures system effectiveness
Process Approach in Auditing
Auditors can apply the process approach by ensuring the auditee:
Defines objectives, inputs, outputs, activities, and resources for processes
Analyses, monitors, measures, and improves processes
Understands sequence and interaction of its processes
Individual ProcessInput/Output, PDCA, ResourcesRelationship with Other ProcessesFlow, Interaction, Evidence, Contracts
Managing an Audit Program
Effective audit programs include planning, scheduling, and resource allocation. A well-managed program ensures audits are systematic, consistent, and align with organizational objectives.
Audit Activities
Opening Meeting
Document Review
On-Site Audit / Observation
Interviews & Evidence Collection
Closing Meeting
Auditor Competence & Responsibilities
Auditors must possess:
Knowledge of standards & regulations
Analytical and communication skills
Objectivity and ethical conduct
Ability to report findings accurately
Key Take Aways
Audit management is often perceived merely as a regulatory necessity, but in reality, it is a cornerstone of organizational health and strategic growth. While compliance with standards—whether ISO 27001, ISO 9001, or internal policies—is the baseline, the true value of a robust audit management system lies in its ability to transform raw data into actionable business intelligence. A systematic approach to auditing does not just verify if rules are being followed; it evaluates whether those rules are actually helping the organization achieve its objectives.
The Strategic Value of Audit Management
Audit management is often perceived merely as a regulatory necessity, but in reality, it is a cornerstone of organizational health and strategic growth. While compliance with standards—whether ISO 27001, ISO 9001, or internal policies—is the baseline, the true value of a robust audit management system lies in its ability to transform raw data into actionable business intelligence.
The Lifecycle: From Opening to Closure
The journey from the opening meeting to the closing meeting is where the integrity of the audit is established. This structured lifecycle ensures that there are no surprises and that the audit concludes with a clear roadmap for the future.
Risk Mitigation and Proactive Defense
In today’s volatile digital landscape, waiting for a breach or a failure to occur is not an option. Audit management serves as an organization’s "early warning system." By systematically reviewing controls and processes, auditors identify vulnerabilities and latent risks that might otherwise go unnoticed until they cause significant damage.
Key Insight: Effective audit management shifts an organization’s posture from reactive to proactive. Instead of scrambling to fix issues after a regulatory fine, the audit process highlights weak control environments early.
Driving Continuous Improvement
Perhaps the most critical aspect of audit management is its contribution to Continuous Improvement (CI). An audit that ends with a report filing is a wasted opportunity. By identifying non-conformities and opportunities for improvement (OFIs), audits force organizations to analyze the root causes of their problems, moving away from temporary "band-aid" fixes toward sustainable solutions.
Audit Activities Checklist
Opening Meeting: Confirm scope, criteria, and plan.
Document Review: Verify documented information against standards.
On-Site Audit: Observe processes and interview staff.
Closing Meeting: Present findings and agree on timeline.
FAQ: Visual Summary
Q1: What is Audit Management?A1: Systematic examination from opening meeting to closure ensuring compliance.Q2: What is Process Approach in Auditing?A2: Ensures objectives, inputs, outputs, and interactions are clearly defined.Q3: What are auditor responsibilities?A3: Knowledge, ethics, analytical skills, and accurate reporting of findings.Q4: What activities are included?A4: Opening meeting, document review, observation, interviews, closing meeting.
ISO/IEC 27001 is the global standard for Information Security Management Systems (ISMS). The 2022 revision introduces updates aligning with evolving cybersecurity threats, risk management practices, and digital transformation requirements. Understanding the differences between the 2013 and 2022 versions is critical for professionals preparing for audits or certification exams.
Overview of ISO/IEC 27001:2013 vs 2022
The 2013 version focused on 14 control domains and 114 controls under Annex A. The 2022 version streamlined these into 4 categories with 93 updated controls, emphasizing a risk-based approach, organizational context, and alignment with modern technology practices.
2013: 14 control domains, 114 controls
2022: 4 control categories, 93 controls
New focus on cloud security, privacy, and remote work risk management
Integration with other management systems (ISO 22301, ISO 9001)
Core Clauses and Annex Controls
Both versions follow a high-level structure (Annex SL), but the 2022 update introduces:
Context of the organization
Leadership & commitment
Planning and risk assessment
Support & awareness
Operation and performance evaluation
Improvement
Annex controls are now grouped under 4 categories:
Organizational
People
Physical
Technological
ISMS Process: Step-by-Step
Implementing an ISMS involves several systematic steps:
Define the scope of ISMS
Establish an information security policy
Perform risk assessment & treatment planning
Implement controls
Monitor, measure, and evaluate effectiveness
Conduct internal audits and management review
Continual improvement based on findings
Awareness & Training
Awareness programs and training sessions are essential to:
Ensure all employees understand security policies
Align roles & responsibilities
Promote a security-first culture
Prepare for internal & external audits
Exam-Oriented Tips
Key points for ISO/IEC 27001 exams:
Focus on differences between 2013 vs 2022
Memorize the 4 main control categories and 93 controls (2022)
Understand ISMS PDCA cycle steps
Prepare for scenario-based questions on risk treatment and audit findings
Q1: Differences between ISO/IEC 27001:2013 & 2022?A1: 2022 reduces controls to 93 & groups into 4 categories.Q2: How many clauses in both versions?A2: Both follow Annex SL with 10 clauses (context, leadership, planning, etc.)Q3: What is the PDCA cycle?A3: Plan → Do → Check → Act; ensures continuous improvement.Q4: How to prepare for ISO/IEC 27001 exam?A4: Focus on clauses, controls, ISMS process & scenario-based questions.Q5: Are 2013 controls still valid?A5: Mapped to 2022; transition based on risk assessment & updated controls.
What Is GRC and How AI Governance Is Transforming It in 2026
The world of Governance, Risk, and Compliance (GRC) is evolving faster than ever. With enterprises adopting AI-powered tools across all departments, organisations are realising that effective AI governance is no longer optional. It is now a core pillar of modern GRC.
This article explains what GRC means today, how AI governance fits inside GRC, the global frameworks shaping AI adoption, the maturity models, the Responsible AI skills companies expect, and why mastering AI governance creates a competitive advantage for professionals entering or growing in GRC.
1. What Is GRC? (Simple Definition)
GRC stands for Governance, Risk, and Compliance. It is a structured approach that ensures an organization:
Governance: Makes decisions responsibly and ethically
Risk Management: Identifies, assesses, and reduces risks
Compliance: Meets laws, standards, and regulatory requirements
In 2026, GRC is no longer just about audits or documentation. It is a strategic capability that helps companies scale, respond to cyber threats, maintain trust, and prevent legal problems.
Traditional GRC Pillars
Policies & Governance Models
Risk Management Frameworks
Compliance Requirements
Internal Controls & Testing
Audit Management
Reporting & Continuous Monitoring
2. Why AI Governance Is Becoming the Heart of GRC
AI systems now influence major business decisions across finance, HR, cybersecurity, fraud detection, privacy, and more. Because AI models can make mistakes, show bias, or act unpredictably, companies need clear processes to govern them.
Learn how breakeven analysis helps SaaS and tech teams understand when revenue covers costs, optimize pricing, and build profitable, scalable growth models.
Telecom companies are facing many challenges moving beyond their legacy business and adopting digital solutions including AI to drive business transformation.
Amdocs is helping telcos to drive transformation with AI and its consulting-led services play a key role to accelerate the process from customer engagement to backend operations.
Telecommunications companies (telcos) are in various stages of transforming their businesses. The industry as a whole faces several challenges that have hindered progress.
These include regulations (e.g., to meet quality of service, data privacy, consumer protection, etc.); the need to constantly invest in their networks (e.g., upgrading mobile networks to 5G and 5G-A), legacy systems, and processes (including IT, network, and operations support system); and growing competitive pressures from traditional competitors to new telco start-ups and disruptive players (e.g., over-the-top providers, cloud providers, LEO satellite companies, etc.). They also have a huge workforce that may not be ready to transition into new technology areas such as AI, data science, cybersecurity, and cloud computing. While telcos’ leadership teams are well aware of the opportunities of emerging technologies, they have to take a more holistic approach in transforming the business, not just adding new digital capabilities. They need to reimagine their business (i.e., define the core business and operating model), right-size the organization with the right talent, adjust the company culture, and ensure effective change management.
This means opportunities for technology services providers including consulting firms, systems integrators, and other telco vendor partners to help telcos modernize their technology and transform their business. Amdocs is a key player within the telco partner ecosystem. It already serves 350 communications and media providers across more than 85 countries, including many tier-1 telcos (e.g., AT&T, BT, Telefonica, and Globe) with long-standing relationships. The company offers a range of products for catalog management, commerce and customer care, billing/monetization, network deployment and optimization, service & network automation, and more. Amdocs has also embedded AI (including GenAI and agentic AI) into its solutions. For example, its customer engagement platform is a customer relationship management (CRM) solution to deliver AI-driven customer journeys and personalized services serving both consumer and B2B customers. This is developed in partnership with Microsoft, leveraging Microsoft Dynamics 365 and Microsoft Azure, verticalized for telecoms by Amdocs. Amdocs amAIz suite lays the foundation for telco data management, AI control and governance, and AI application and AI agent deployment. More importantly, since Amdocs is already embedded in telcos’ operations, the company has a deep understanding of the telco business and operational requirements. This places the company in a better position to help telcos adopt AI, particularly agentic AI, to automate workflows (from IT operations to business operations and network operations) to deliver the desired business outcomes.
However, due to the aforementioned challenges, many telcos are facing in transforming their business: They are not merely looking for more technologies but partners that can help them drive business outcomes. Many technology vendors choose to partner with service providers to help telcos close their capability gaps, recognizing the need to work across technologies from different vendors, which may require systems integration. Amdocs has taken a different approach by building a more comprehensive set of services to support telco customers, which it can also extend to customers in more verticals over time. Besides services to support network management and operations, the company is also helping telcos to transform various aspects of their business from CX to the modernization of backend systems. This is through Amdocs Studios, which has broad expertise across cloud services (e.g., strategy, migration, and operations), data and AI (e.g., data strategy, AI & analytics, and GenAI), and consulting services (e.g., experience design, product development, cybersecurity, and risk management). Amdocs is developing agentic services to support operational aspects of the Amdocs Studios’ main practices, including application modernization, data modernization, quality engineering, and more. The company has an extensive partner ecosystem to deliver the right outcomes for customers. For example, it has strategic partnerships with AWS, Google Cloud, Microsoft Azure, Oracle, and Red Hat to offer cloud services.
Consulting services in particular are crucial in aligning technologies with business outcomes and helping drive change especially in using cloud, data, and AI to improve customer experience, employee experience, and operations experience (the processes involved to facilitate the interaction between a customer and a brand). Successful implementation will require enterprises to focus on the experiences they want to deliver and the brand image they want to establish. In particular, a human-centered design is crucial especially in AI initiatives to promote trust and focus on the benefits to enhance human capabilities (not to replace them).
Amdocs has invested significantly to develop experience design capabilities, which will be pivotal to compete with other service providers. Some global systems integrators also have strong creative design consulting capabilities (e.g., Accenture Song, Deloitte Digital, and TCS Interactive). As businesses are adopting digital solutions to drive business and operational changes, it is imperative for service providers to have an industry-focused approach for their go-to-market. This is already the case for most global systems integrators. While Amdocs does not have the scale of some of the largest global systems integrators, it has deep expertise in the telco sector. However, the company will continue to face stiff competition from systems integrators, especially Accenture, Infosys, and HCLTech, which have made acquisitions, high-profile customer examples, and extensive partnerships with vendors important to telcos.
The world has changed — artificial intelligence (AI) is reshaping business faster than most can adapt
The rise of large language models and agentic AI has created unprecedented scale, speed, and complexity. Enterprises are moving from static infrastructures to hyperplexed, distributed, and autonomous systems. Organizations are pouring more than $400 billion into AI infrastructure, a wave expected to generate more than $2 trillion in new value. But without resilience at the core, that value remains at risk.
As innovation accelerates, new risks emerge just as quickly. Security is lagging behind transformation. Data is exploding, with nearly 40% year-over-year growth across hybrid and multicloud environments. Regulations are tightening, and ransomware and AI-powered attacks are multiplying. The result: Resilience now defines competitive advantage.
Resilience drives velocity
Resilience isn’t just recovery. It’s also the foundation of sustained innovation. Traditional recovery models were built for yesterday’s outages, not today’s AI-driven disruptions, which unfold in milliseconds. In this world, recovery is table stakes. True resilience means that every system runs on clean, verifiable data, and it restores trust when it’s tested.
The most resilient organizations are also the fastest movers. They adopt emerging technologies with confidence, recover with speed and integrity, and innovate at scale. Resilience has evolved from a safety net to the engine of enterprise speed and scalability.
Introducing resops, the model for next-generation resilience
Resops, short for resilience operations, is an operating model that unifies data protection, cyber recovery, and governance into a single intelligent system. It creates an ongoing loop that monitors, validates, and protects data across hybrid and multicloud environments, enabling organizations to detect risks early and recover with confidence.
By integrating resilience into every layer of operations, resops transforms it from an isolated function into a proactive discipline — one that keeps businesses secure, compliant, and ready to adapt in the AI era.
Data, automation and artificial intelligence are driving the regulator to take new approaches to its work and how it supports the pensions industry, leading to improved experiences for everyone in the UK who has a pension
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