What are the security risks of deploying AI agents?
Three categories: data exfiltration through model inputs, prompt-injection attacks, and agent capability misuse. The Aegis CISO function (Risk Management Agent + Data Privacy Agent) audits all three before agent deployment.
The short answer.
Three categories: data exfiltration through model inputs, prompt-injection attacks, and agent capability misuse. The Aegis CISO function (Risk Management Agent + Data Privacy Agent) audits all three before agent deployment.
This is a question Aegis hears regularly during discovery. Here is the practical way to frame it.
How Aegis approaches this.
Aegis Boardroom's answer is shaped by three frameworks. Truth Architecture: recommendations are designed to be source-traced. Confidence Contract: recommendations are mapped to the canonical Aegis confidence states (I Know / I Think / I'm Inferring / I Don't Know). Life Integrity Engine: recommendations that may increase irreversible-harm risk are flagged for refusal or human review, not softened.
The fastest path is the AI Readiness Assessment: it returns a confidence-mapped band for your specific situation. From there, the Quick Win Plan or a deeper engagement scopes the right paid Aegis next step.
Frequently asked questions.
Is it safe to deploy an AI agent on company systems?
It can be, but three risks need checking first: data leaking through what you feed the model, prompt-injection attacks, and an agent's capabilities being misused.
Can an AI agent leak my company data?
It can, through the inputs you give it, if the setup isn't designed for it. That's the first category the Aegis CISO function audits.
Who checks an agent is safe before it goes live?
The Aegis CISO function (the Risk Management Agent plus the Data Privacy Agent) audits all three risk categories before any agent is deployed.