A state-sponsored hacker used an AI coding agent to run an independent cyber espionage campaign against 30 targets around the world This article explores security finds ai. . The traditional cyber kill chain says that attackers have to work for every inch of access.
If the kill chain is broken, the attacker goes straight to the agent, which is the kill chain. If someone breaks into that agent, they get all of it right away. They get the map, the access, the permissions, and a good reason to move data. The main problem is that security tools are made to find behavior that isn't normal.
When an attacker rides on an AI agent's current workflow, everything seems fine. We saw what this looks like in action during the OpenClaw crisis. About 12% of the skills in its public marketplace were bad.
More than 21,000 times were made public. But the scariest part was that a compromised agent could get to messages, files, emails, and documents once it was connected to Slack and Google Workspace. Reco's Agentic AI Security finds all the AI agents, embedded AI features, and third-party AI integrations in your SaaS environment.
By looking at permission scope, cross-system access, and data sensitivity, Reco figures out which agents put you at the most risk. Agents that are linked to new risks are automatically tagged. From there, Reco helps you set the right level of access through identity and access governance. This directly limits what an attacker can do if an agent is hacked.
Find out more here: Ask for a demo to get started with Reco. The old kill chain thought that attackers had to fight for every inch of access.
That idea is completely wrong when it comes to AI agents. An attacker can get real access, a perfect map of the area, wide permissions, and built-in cover for data movement if they compromise just one agent. An AI agent in your environment will be targeted sooner or later.
Visibility is what makes the difference between catching it early and finding out about it during incident response.
