Browsing Tag
Artificial Intelligence
324 posts
Anthropic Finds 4th Claude AI Hacking Incident Missed in Earlier Review
Anthropic reveals a 4th Claude AI hacking incident after Opus 4.6 accessed a real system, leading to a review of 481 million evaluation transcripts.
9 Best AI-Powered Vulnerability Management Platforms in 2026
Compare 9 AI-powered vulnerability management platforms in 2026, including Astelia, Tenable, Wiz, Qualys, Rapid7, CrowdStrike, Orca, Palo Alto and Balbix.
AI Workflow Flaw Could Let Attackers Access Sensitive Data by Simply Asking
Noma Labs has identified Workflow Identity Hijacking, an AI workflow flaw that can let attackers abuse privileged access to sensitive internal data without prompt injection.
Security Risk Advisors Launches SCALR AI as a Free SOC AI Platform for Security Teams
Security teams can deploy SCALR AI in their own Azure tenant at no license cost, with private SOC AI workflows for incident triage, threat hunting and phishing.
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.
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.
MessiahGPT Criminal AI Service Advertised on BreachForums
Trellix details MessiahGPT, an unrestricted criminal AI platform offering malware, phishing and fraud assistance through 50 free queries and paid plans from $8.
AI Agents Used to Compromise 85 Taiwan Government Accounts in 4 Days
Dream Group says AI agents mapped 21 Taiwanese government systems, cracked 85 accounts and stole over 2,500 personnel records in a four-day attack in July 2026.
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.