AI browsers introduce reasoning-based risks. Learn how cross-origin AI agents dismantle web security and what defenses are needed.
The post Convenience or Catastrophe? The Dangers of AI Browsers No One is Talking About appeared first on Security Boulevard.
Microsoft has lowered sales growth targets for its AI agent products after many salespeople missed their quotas in the fiscal year ending in June, according to a report Wednesday from The Information. The adjustment is reportedly unusual for Microsoft, and it comes after the company missed a number of ambitious sales goals for its AI offerings.
AI agents are specialized implementations of AI language models designed to perform multistep tasks autonomously rather than simply responding to single prompts. So-called “agentic” features have been central to Microsoft’s 2025 sales pitch: At its Build conference in May, the company declared that it has entered “the era of AI agents.”
The company has promised customers that agents could automate complex tasks, such as generating dashboards from sales data or writing customer reports. At its Ignite conference in November, Microsoft announced new features like Word, Excel, and PowerPoint agents in Microsoft 365 Copilot, along with tools for building and deploying agents through Azure AI Foundry and Copilot Studio. But as the year draws to a close, that promise has proven harder to deliver than the company expected.
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ServiceNow Inc. announced on Tuesday plans to acquire Veza in a move aimed at fortifying security for identity and access management. The acquisition will integrate Veza’s technology into ServiceNow’s Security and Risk portfolios, helping organizations monitor and control access to critical data, applications, systems, and artificial intelligence (AI) tools. The deal comes as businesses increasingly..
The post ServiceNow to Acquire Identity Security Firm Veza appeared first on Security Boulevard.
Organizations are racing to implement autonomous artificial intelligence (AI) agents across their operations, but a sweeping new study reveals they’re doing so without adequate security frameworks, creating what researchers call “the unsecured frontier of autonomous operations.” The research, released Tuesday by Enterprise Management Associates (EMA), surveyed 271 IT, security, and identity and access management (IAM)..
The post Security Gap Widens as Organizations Rush to Deploy AI Agents Without Proper Identity Controls appeared first on Security Boulevard.
Master AI-powered automation for marketing, business operations, and workflow optimization, no coding needed.
The post Automate Your Business Operations With AI Agents for Just $40 appeared first on TechRepublic.
Master AI-powered automation for marketing, business operations, and workflow optimization, no coding needed.
The post Automate Your Business Operations With AI Agents for Just $40 appeared first on TechRepublic.
Nov. 17—21 recap: Five rapid Google releases prove the company can turn an ordinary workweek into an AI showcase.
The post Daily Tech Insider Unpacks Google’s AI Hot Streak from This Week appeared first on TechRepublic.
Nov. 17—21 recap: Five rapid Google releases prove the company can turn an ordinary workweek into an AI showcase.
The post Daily Tech Insider Unpacks Google’s AI Hot Streak from This Week appeared first on TechRepublic.
how JWTs secure AI agents and autonomous systems. Explore best practices for authenticating non-human identities using modern OAuth and token flows.
The post JWTs for AI Agents: Authenticating Non-Human Identities appeared first on Security Boulevard.
Palo Alto Networks Inc. announced Wednesday it will acquire Chronosphere, a next-generation observability platform designed for artificial intelligence (AI) workloads, in a $3.35 billion deal combining cash and replacement equity awards. The acquisition, pending regulatory approval, is expected to close in the second half of Palo Alto Networks’ fiscal 2026. The move represents the cybersecurity..
The post Palo Alto Networks to Acquire AI Observability Platform Chronosphere for $3.35 Billion appeared first on Security Boulevard.
Satya Nadella recently foreshadowed a major shift in the company’s business — saying the tech giant will increasingly build its products and infrastructure not just for human users, but for autonomous AI agents that operate as a new class of digital workers.
“The way to think about the per-user business is not just per user, it’s per agent,” the Microsoft CEO said during his latest appearance on Dwarkesh Patel’s podcast.
At its Ignite conference this week, the company is starting to show what that means. Microsoft is unveiling a series of new products that give IT departments a way to manage and secure their new AI workforce, in much the same way as HR oversees human employees.
The big announcement: Microsoft Agent 365, a new “control plane” that functions as a central management dashboard inside the Microsoft 365 Admin Center that IT teams already use.
Its core function is to govern a company’s entire AI workforce — including agents from Microsoft and other companies — by giving every agent a unique identification. This lets companies use their existing security systems to track what agents are doing, control what data they can access, and prevent them from being hacked or leaking sensitive information.
Microsoft’s approach addresses what has become a major headache for businesses in 2025: “Shadow AI,” with employees turning to unmanaged AI tools at growing rates.
It also represents a big opportunity for the tech industry, as tech giants look to grow revenue to match their massive infrastructure investments. The AI agent market is expanding rapidly, with Microsoft citing analyst estimates of 1.3 billion agents by 2028. Market research firms project the market will grow from around $7.8 billion in 2025 to over $50 billion by 2030.
Google, Amazon, and Salesforce have all rolled out their own agentic platforms for corporate use — Google with its Gemini Enterprise platform, Amazon with new Bedrock AgentCore tools for managing AI agents, and Salesforce with Agentforce 360 for customer-facing agents.
Microsoft is making a series of announcements related to agents at Ignite, its conference for partners, developers, and customers, taking place this week in San Francisco. Other highlights:
As a backbone for the announcements, Agent 365 leverages Microsoft’s entrenched position in corporate identity and security systems. Instead of asking companies to adopt an entirely new platform, it’s building AI agents into tools that many businesses already use.
For example, in the Microsoft system, each agent gets its own identity inside Microsoft Entra, formerly Active Directory, the same system that handles employee logins and permissions.
Microsoft is rolling out Agent 365 starting this week in preview through Frontier, its early-access program for its newest AI innovations. Pricing has not yet been announced.
[Editor’s Note: Agents of Transformation is an independent GeekWire series and 2026 event, underwritten by Accenture, exploring the people, companies, and ideas behind the rise of AI agents.]
What separates the dot-com bubble from today’s AI boom? For serial entrepreneur David Shim, it’s two things the early internet never had at scale: real business models and customers willing to pay.
People used the early internet because it was free and subsidized by incentives like gift certificates and free shipping. Today, he said, companies and consumers are paying real money and finding actual value in AI tools that are scaling to tens of millions in revenue within months.
But the Read AI co-founder and CEO, who has built and led companies through multiple tech cycles over the past 25 years, doesn’t dismiss the notion of an AI bubble entirely. Shim pointed to the speculative “edges” of the industry, where some companies are securing massive valuations despite having no product and no revenue — a phenomenon he described as “100% bubbly.”
He also cited AMD’s deal with OpenAI — in which the chipmaker offered stock incentives tied to a large chip purchase — as another example of froth at the margins. The arrangement had “a little bit” of a 2000-era feel of trading, bartering and unusual financial engineering that briefly boosted AMD’s stock.
But even that, in his view, is more of an outlier than a systemic warning sign.
“I think it’s a bubble, but I don’t think it’s going to burst anytime soon,” Shim said. “And so I think it’s going to be more of a slow release at the end of the day.”
Shim, who was named CEO of the Year at this year’s GeekWire Awards, previously led Foursquare and sold the startup Placed to Snap. He now leads Read AI, which has raised more than $80 million and landed major enterprise customers for its cross-platform AI meeting assistant and productivity tools.
He made the comments during a wide-ranging interview with GeekWire co-founder John Cook. They spoke about AI, productivity, and the future of work at a recent dinner event hosted in partnership with Accenture, in conjunction with GeekWire’s new “Agents of Transformation” editorial series.
We’re featuring the discussion on this episode of the GeekWire Podcast. Listen above, and subscribe to GeekWire in Apple Podcasts, Spotify, or wherever you listen. Continue reading for more takeaways.
Successful AI agents solve specific problems: The most effective AI implementations will be invisible infrastructure focused on particular tasks, not broad all-purpose assistants. The term “agents” itself will fade into the background as the technology matures and becomes more integrated.
Human psychology is shaping AI deployment: Internally, ReadAI is testing an AI assistant named “Ada” that schedules meetings by learning users’ communication patterns and priorities. It works so quickly, he said, that Read AI is building delays into its responses, after finding that quick replies “freak people out,” making them think their messages didn’t get a careful read.
Global adoption is happening without traditional localization: Read AI captured 1% of Colombia’s population without local staff or employees, demonstrating AI’s ability to scale internationally in ways previous technologies couldn’t.
“Multiplayer AI” will unlock more value: Shim says an AI’s value is limited when it only knows one person’s data. He believes one key is connecting AI across entire teams, to answer questions by pulling information from a colleague’s work, including meetings you didn’t attend and files you’ve never seen.
“Digital Twins” are the next, controversial frontier: Shim predicts a future in which a departed employee can be “resurrected” from their work data, allowing companies to query that person’s institutional knowledge. The idea sounds controversial and “a little bit scary,” he said, but it could be invaluable for answering questions that only the former employee would have known.
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