AI Agents
Risks
5 articles.
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The Security Problem Nobody Solved Before Deploying
Most organisations report incidents; few have approval, governance or visibility. What the data shows, why identity is the root, and what to do first.
Agent Identity: Why Service Accounts Are Not Enough
Only about a fifth of teams give agents their own identity. What breaks when they do not, and what a workable identity model looks like.
Prompt Injection, in Plain Terms
An agent reads content and acts on it. If the content contains instructions, it may follow them. Why this is structural, and what actually reduces the risk.
Permissions: What an Agent Should Never Be Able to Do
Start from what it must never do, not what it needs. The reasoning behind that inversion, and a practical way to scope access.
Logging and Audit Trails for Agent Actions
Over half of agents run without logging, and retrofitting it stalls projects at security review. What to record, and why conversation logs are not enough.
For broader independent background, see OWASP GenAI Security Project.