Companies are handing AI agents their email, their code and their money. One bad email can take over the agent: it reads untrusted text as instructions and sends the payment.
Albert AI closes the loop in five steps:
1. Prevent: before code is written, the coding agent gets a security brief built from verified sources (Senso).
2. Detect: Semgrep Guardian plus our custom rules flag agent flaws while the code is written, such as email text reaching a payment tool.
3. Prove: an automated attacker hits every proposed fix with OpenAI and open models on AkashML, with the agent isolated in Guild. If any attack still works, the fix is rejected.
4. Learn: every successful attack becomes a new Semgrep rule, swept across every agent in the org and added to the brief.
5. Watch: every agent action goes through a real-time guard and is logged to ClickHouse with live detections.
Live demo: a payments agent with its own email inbox reads invoices and pays them through a mock ledger. A legit ACME invoice is paid. A CEO-override email asking to wire $48,500 to a new account makes the agent try to pay, and Albert AI blocks it before any money moves, with the reason shown.
Existing tools attack, scan, or monitor separately. Albert AI connects them so every attack makes the next build safer.