Browsing Tag
AI Agents
20 posts
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
Placeholder Domains Used by 349 AI Agent Skills Found Redirecting to Scams
Manifold Security found placeholder domains cited in 359,000 GitHub files and 349 AI agent skills serving cloaked scam…
Open-Source AI Agents Breach 27 Companies, Steal 600,000 Credit Card Records
Gambit Security found AI agents breached 27 companies, stole 600,000 credit card records and installed payment skimmers across compromised retail sites.
Alexey Tulia at Tech Race Summit: how AI agents are changing engineering leadership
Alexey Tulia, Executive Leader at Coinspaid Dev, discussed the changing role of engineers and CTOs during the AI…
Hackers Use Hundreds of AI Agents to Exploit PaperCut Zero-Days
Blackpoint Cyber and GreyNoise detail attacks exploiting two PaperCut zero-days, with hundreds of AI agents used to compromise servers across 48 countries.
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…
OpenAI Report Explains How Its AI Agents Breached Hugging Face Systems
OpenAI says internal AI agents gained internet access, exploited vulnerabilities and accessed Hugging Face systems during July cybersecurity evaluations.
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.
AI Agent Development Company: Outcomes vs. Claims
How to evaluate an AI agent development company by outcomes, not claims: questions that reveal production capability and separate delivery from lasting value.
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.