Securing AI Agents in Production
Agents act with real permissions against real systems. A guide to the failure modes that matter — prompt injection, over-broad tool access, and silent behavioural drift — and how to contain them.
AI Security
Securing AI systems, and using AI to secure everything else: agent behaviour, model and prompt risk, the supply chain behind them, and where automation genuinely outperforms a human reviewer.
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AI Security FAQs
What is AI security?
AI security covers two things: protecting AI systems themselves — models, agents, prompts, and the data behind them — and applying AI to the practice of security.
What are the main risks of agentic systems?
Agents act with real permissions. The significant risks are prompt injection through untrusted content, over-broad tool access, and silent behavioural failures that repeat at scale without anyone noticing.
Can AI agents be trusted to find vulnerabilities?
They can, when their output is validated rather than taken on faith. An agent that proves reachability and produces a working fix is verifiable in a way a raw scanner finding is not.