How do you safely transition autonomous AI agents from experimental sandboxes into live enterprise production environments?
In this segment from the Agentic AI Security Review at Swiss AI Weeks, Fabio Sakita breaks down the AI Enabler Framework—the foundational technical stack required to secure AI agents before they start calling live APIs and mutating databases.
The 4 Pillars of the AI Security Framework:
- Deterministic API Wrappers: Utilizing strict policy-as-code sidecars to intercept and validate all tool calls before the APIs actually fire.
- Continuous Runtime Observability: Real-time behavioral monitoring to detect anomalous tool loops, credential drift, or unexpected execution speeds.
- Cryptographic Telemetry: Maintaining immutable, tamper-proof audit trails that log step-by-step reasoning chains alongside data state changes.
- Continuous Evidence Mapping: Automatically mapping runtime telemetry directly to EU AI Act, SOC 2, and ISO 42001 standards via the 360vue platform.
