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AI security for security teams: start with the attack path
A plain-language framework for prompt injection, data leakage, agent permissions and human approval points.
Treat the model as one component
The security boundary includes prompts, retrieved data, tools, credentials, memory, agents and downstream systems. Protecting only the model misses where the real permissions live.
Map what an agent can do
For each agent, identify tools it can call, identities it can use, data it can read and actions it can take. Least privilege matters just as much here as it does elsewhere.
Keep meaningful human gates
High-impact actions should have explicit approval, logging and rollback. AI can accelerate analysis and decision support without becoming an unchecked production operator.