AI Security

Secure60 provides two complementary capabilities for organisations deploying AI: Protect AI (detect threats against your AI systems) and Govern AI (align with AI governance frameworks). Both run on the same data model as the rest of the platform — no separate tools, no extra plumbing.

AI security capabilities are built on the existing five pillars. Threat detection rules target AI-specific attack patterns. Vulnerability management covers AI supply chain risk. Governance frameworks include ISO 42001, NIST AI RMF and EU AI Act controls. Log management captures the AI audit trail.

Documentation

• Prompt-Attack Detection — Detection rules for prompt injection patterns, configuration and tuning.
• LLM Data Exfiltration — Detecting sensitive data egress through copilots, chatbots and AI APIs.
• AI Audit Trail — Logging AI interactions, search, retention and investigation.
• AI Governance Frameworks — ISO 42001, NIST AI RMF, EU AI Act — controls mapped, evidence collected.

How It Fits Together

AI security is not a separate module. It uses the same capabilities you already have:

AI Security Capability	Built On
Prompt injection detection	Threat Detection rules
LLM data exfiltration monitoring	Threat Detection + UEBA
Shadow AI discovery	Log Management + Threat Intelligence
AI audit trail	Log Management
AI supply chain risk	Vulnerability Management
AI governance frameworks	Governance pillar

This means that if you are already using Secure60 for security operations, adding AI security coverage is a matter of enabling the right detection rules and governance templates — not deploying a new tool.

Getting Started

Work with Secure60 to assess which AI security capabilities are relevant to your environment. The team will help you enable the appropriate detection rules, configure audit logging for your AI systems, and set up governance frameworks if required.