Browsing Tag
Agentic AI
41 posts
Scanner Poses as 32 AI Bots to Find Credentials and Private Keys
A scanner impersonates 32 AI bots, including OpenAI and Claude crawlers, to search websites for exposed credentials, private keys and cloud configuration files.
Security Teams and AI Tools: Why Executives Won’t Adopt What They Can’t Control
Executives need visibility into workplace AI, clear data controls and limits on agent access before approving wider adoption. Here’s what businesses need in place.
OpenAI Model Hacked Crypto Wallet and Spent Funds to Deploy Smart Contracts
OpenAI disclosed that an internal AI model hacked a crypto wallet and spent Sepolia test ETH without permission…
Karina Portugal Makes the Case for Know Your Agent
Karina Portugal has spent more than ten years working in digital identity, fraud prevention, anti-money laundering and Know…
5 Astrix and Aembit Alternatives for AI Agent Identity Security
Cisco completed its acquisition of Astrix Security on June 29, 2026, after reportedly agreeing to pay approximately $400…
Authenticated Doesn’t Mean Safe: Why AI Agents Need Action-Level Security
AI agents can misuse legitimate access. Learn why action-level security, trusted policy enforcement and verified approvals are critical to stop data leaks
What Algorithmic Trading Teaches Us About the Agent Era
Learn what algorithmic trading can teach us about agentic AI as financial markets prepare for agents that can make decisions and act on users' behalf at scale.
AccuKnox Launches AgentZ to Help Enterprises Build, Run, and Govern AI Agents at Scale
Menlo Park, California, USA, August 27th, 2026, CyberNewswire AccuKnox today announced the launch of AgentZ, a platform for…
The Security Problem With AI Agents Is Delegated Authority
AI agent security depends on controlling identities, permissions, credentials and tool access so automated actions stay limited, traceable and also accountable.
Why AI Agents Need to Learn from Real-World Experience
The next generation of useful AI agents may be shaped as much by how reliably they improve as by what they already know.