Beyond Basic LLM Protection

While standard LLM security focuses on text input/output, Agentic Applications can reason, decide, and act. As a CISO, the question is no longer "How do we prevent inappropriate chat?" but "How do we prevent an autonomous agent from being manipulated into sabotaging core ledger systems?"

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ASI01: Goal Hijacking

Establishing semantic guardrails to prevent attackers from overriding the agent's intended business logic.

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ASI02: Tool Misuse

Implementing granular, role-aware API inspection layers to govern every autonomous tool invocation.

Mitigation Framework

Moving from passive policies to centralized, real-time AI security infrastructure.

  • Semantic intent gating.
  • Cryptographic audit logging.
  • Material supply chain visibility.

Enforcing the "Intent Gate"

A dedicated security layer that scrutinizes the reasoning and actions of autonomous agents before they reach internal endpoints.

Architectural Flow

See how AIxSafe fits into your regulated stack to provide the necessary decoupling between models and actions.

Technical Flow

Telemetry Assets

Utilize structured interaction data to satisfy the reporting requirements of executive board committees.

Telemetry Guide

Assurance Reporting

Generate immutable evidence of control enforcement for APRA CPS 230 and other regulatory audits.

Compliance FAQ