Netcrook
#AI agent
Oracle’s New AI Price Signal: The Meter Is Still There, Just Harder to See
Oracle’s latest AI billing pilot looks less like a clean break from usage pricing and more like a commercial layer built on top of it, with bigger consequences for procurement, auditability, and control.
When Leaked Code Meets AI Agents, the Attack Surface Starts Thinking Back
A security roundup this week points to a sharper problem than ordinary malware noise: offensive code leaks, agent-targeted phishing, and workflow automation that can be pushed toward the wrong action.
When AI Agents Multiply, So Does the Question of Who Owns the Damage
Agentic AI does not remove accountability. It can scatter it across developers, operators, approvers, and tool owners until responsibility becomes hardest to locate exactly where it matters most.
Agentic AI’s Blind Spot: When Security Teams Can’t See the Tools They Let Run
The newest AI risk is not just what a model says, but whether organizations can actually discover, monitor, and govern the agents they have already brought inside the perimeter.
When Agents Multiply Faster Than Oversight, the CIO Becomes the Last Line of Defense
Enterprise AI is creating a control problem: many leaders are being held accountable for systems they do not fully see, inventory, or govern.
Phishing a Machine: How One AI Agent Handed Over Secrets in a Controlled Test
A lab exercise with OpenClaw’s Pinchy agent shows how delegated inbox automation can be tricked into forwarding cloud and host credentials, even when explicit safety instructions are in place.
When an Inbox Agent Fumbles the Keys: The Hidden Risk Behind Phishing-Ready AI
A reported phishing simulation involving OpenClaw shows how an autonomous inbox worker can turn a convincing email into a credential leak if trust boundaries are too loose.
Why Microsoft Entra Logs Matter When AI Agents Start Acting Like Users
Assistive AI can move fast inside enterprise accounts, but the security story is increasingly about identity traces, delegated consent, and whether an agent’s sign-ins look normal or suspicious.
Shadow AI Leaves CIOs Holding the Risk They Cannot Fully See
IBM research points to a widening enterprise AI control gap: accountability is staying centralized even as AI deployments, agents, and business-led use cases spread faster than governance can track.
OWASP Pushes Agentic AI Security Into the Control Room
A new OWASP guidance package signals that autonomous AI is no longer just a model-safety problem - it is becoming an issue of permissions, oversight, and operational control.
OWASP Pushes Agentic AI Security Into the Operational Zone
A new OWASP AI security release arrives as enterprises wire autonomous agents into real systems, where the danger is less about bad text and more about bad actions.
When AI Workflows Become Malware Drop Zones
OpenClaw has surfaced in a cyber-espionage narrative that turns trusted AI-agent workflows into an attack surface for payload delivery, evasion, and credential risk.
When an AI Action Can Read the Runner, Secrets Stop Being Secret
A GitHub Actions warning shows how a file-reading tool inside an agentic workflow can become a quiet path to CI/CD environment data.
AI Saved the Time. Leadership Failed to Claim the Value.
A global workplace survey shows AI is already buying back hours each week, but many organizations still lack the rules, metrics, and operating model needed to turn that slack into measurable business gain.
GitHub Copilot Learns to Price the Agent, Not Just the Seat
A desktop app, a shared canvas, and metered billing turn Copilot into a governed agent platform, with security and spend control now part of the product story.
Opal’s Funding Bet Puts AI Governance at the Center of Access Control
A fresh capital raise and a leadership expansion signal how quickly identity governance is being recast as an AI-assisted control problem, not just an audit chore.
AI Found 21 FFmpeg Bugs as Chrome Pushed an Unusually Heavy Security Release
The week’s headline numbers point to the same pressure point: software that ingests untrusted data is getting harder to secure, and automation is only making the review queue longer.
When AI Agents Get Keys to the Kingdom, Identity Becomes the Real Firewall
The danger in agentic AI is not the model itself but the privileges wrapped around it, where one overbroad credential can turn automation into an enterprise-wide trust problem.
When AI Starts Designing Its Own Successors, the Real Risk Is Losing the Steering Wheel
Anthropic’s latest warning is less about science fiction than control: once AI can help build AI, governance shifts from model quality to authority, monitoring, and shutdown discipline.
When Automation Learns to Stop: Why Process Mining Matters Before AI Agents Take Over
The sharper lesson in modern automation is not how much work can be handed to software, but how well teams can see real process behavior before granting autonomy.