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Recent Articles
Search ArticlesIn the AI era, identity evolves into the control plane for trust
Every major security shift ultimately comes down to one question: Who or what is allowed to do this? For most of the past two decades, the answer was a person with a username and password. In the artificial intelligence era, the answer increasingly is an agent, and most organizations have no idea how many agents they have, what they can reach, or who is responsible for them.
Equals Money limits MCP server access to data, not payments
Opening a Model Context Protocol server, or MCP server, to customers' AI tools is becoming standard for fintech companies, but in payments a rogue agent does not just leak data - it moves money. That raises the bar for how agents are identified, logged and stopped. Identity providers are adding controls for that separation, with Okta Inc. recently introducing runtime enforcement and a wider kill switch for AI agents.
OpenAI launches Dots, always-on AI agents in ChatGPT with their own cloud computers
OpenAI Group PBC today used its DevDay developer conference to launch Dots, a set of always-on artificial intelligence agents in ChatGPT. The release is aimed at moving ChatGPT users beyond working one prompt at a time. Someone can hand an agent a goal and let it carry the job forward without direction at every step, even while it has several other projects going. Each agent learns its owner's preferences from feedback. OpenAI says some of the work will show up before anyone asks for it.
Agentic security strategy faces a shrinking breach window- SiliconANGLE
An agentic security strategy must account for software that can act on legitimate instructions in unexpected ways. Agents can use credentials, call tools and choose their own routes toward a goal, expanding the paths security teams need to watch. The risk arises even when no one instructs an agent to cause harm.
Oracle CISO puts humans at the center of AI security governance
As enterprises face AI-driven cyberattacks, AI security governance must control autonomous systems that can reach data, connect applications and act on users' behalf. That makes human accountability a core security requirement. Traditional controls remain necessary, but security teams must also understand the data flows and processes agents create.
AI identity reshapes web security
Artificial intelligence is changing the makeup of internet traffic, making AI identity an emerging concern for websites and applications. They are no longer interacting only with humans and traditional bots. AI assistants are retrieving content directly over HTTP, autonomous agents are navigating browsers and completing tasks on behalf of users and AI systems are increasingly connecting to enterprise tools and operational data.
Leaked Anthropic IPO filing reveals $8B operating loss, rapid revenue growth
Anthropic PBC's revenue and losses grew significantly last year, while its cloud spending is on track to top $500 billion over the next decade. The newly published financial information comes from the company's confidential S-1 filing. The document, which outlines Anthropic's plans to go public, was prepared in June. Reuters and the Financial Times published details from the filing late Monday. Anthropic's revenue ballooned from $400 million in 2024 to $4.6 billion last year.
Nvidia's scale-in play: Controlling agents is the next infrastructure priority
Nvidia Corp. is extending the data processing unit from infrastructure offload to a broader security role across the artificial intelligence factory. The opportunity is to make agentic AI safer to operate at scale. That's according to Gilad Shainer, Nvidia's senior vice president of networking, who sat down with theCUBE last week at our NYSE studios. The strategic implication is an even larger role for Nvidia in enterprise infrastructure.
Data sovereignty rises as AI and quantum reshape security
As director of HPE Labs, Andrew Wheele r (pictured) is uniquely positioned to observe rapid advancements in artificial intelligence and new developments for the emerging field of quantum computing. Yet, there is a third area that Wheeler, an HPE fellow and senior vice president, is often asked about. It is one that draws on HPE's decades of high-performance computing experience with sensitive data and national security environments to deliver privacy-compliant infrastructure.
Enterprise AI deployment strategy shaped by cost and control
Getting AI into production has become the real test for enterprises. As the proof-of-concept phase ends, harder questions about cost, data and control are taking its place. That shift is rewriting enterprise AI deployment strategy as the conversation moves beyond models and GPUs to the infrastructure, data and operating models underneath. The next phase will be defined by who controls AI once it's running.