agentic AI
Agentic AI memory attacks spread across sessions and users, and most organizations aren’t ready
In this Help Net Security interview, Idan Habler, AI Security Researcher at Cisco, breaks down a threat most security teams haven’t named yet: agentic memory as an …
ZeroID: Open-source identity platform for autonomous AI agents
ZeroID is an open-source identity platform that implements an identity and credentialing layer specifically for autonomous agents and multi-agent systems. The attribution …
Claude Managed Agents bring execution and control to AI agent workflows
Anthropic’s Claude Managed Agents are a suite of composable APIs for building and deploying cloud-hosted agents at scale, handling sandboxed code execution, …
AI agent intent is a starting point, not a security strategy
In this Help Net Security interview, Itamar Apelblat, CEO of Token Security, walks through findings from the company’s research, which shows that 65% of agentic chatbots …
Asqav: Open-source SDK for AI agent governance
AI agents are executing consequential tasks autonomously, often across multiple systems and with little record of what they did or why. Asqav, a Python SDK released under the …
Microsoft releases open-source toolkit to govern autonomous AI agents
AI agents can book travel, execute financial transactions, write and run code, and manage infrastructure without human intervention at each step. Frameworks like LangChain, …
Amazon sends AI agents into pen testing and DevOps
Amazon’s latest AI capabilities bring on-demand penetration testing through the AWS Security Agent, alongside the AWS DevOps Agent. “These agents are changing the way we …
AI SOC vendors are selling a future that production deployments haven’t reached yet
Vendors selling AI-powered security operations platforms have built their pitches around a consistent set of promises: autonomous threat investigation, dramatic reductions in …
Who owns AI agent access? At most companies, nobody knows
AI agents are operating across production enterprise environments at scale, and the identity infrastructure managing their access has not kept up with their deployment. A …
Training an AI agent to attack LLM applications like a real adversary
Most enterprise software development teams now ship AI-powered applications faster than traditional penetration testing can keep up with. A security team with 500 applications …
The AI safety conversation is focused on the wrong layer
Organizations have spent years accumulating fragmented identity systems: too many roles, too many credentials, too many disconnected tools. For a workforce of humans, that …
Your AI agents are moving sensitive data. Do you know where?
In this Help Net Security interview, Gidi Cohen, CEO at Bonfy.AI, addresses what he sees as the most pressing gap in AI agent security: data-layer risk. While the industry …
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