AI Security & Governance

Comprehensive Visibility and Risk Mitigation
for AI Systems and Digital Identities

Detect prompt injection. Find shadow AI. Audit every model call. Align with ISO 42001, NIST AI RMF and the EU AI Act — from one platform.

Discuss AI risk See governance frameworks
The two-sided problem

AI risk has moved from a forward-looking concern to an operational one.

Boards are asking. Regulators are publishing. Customers are deploying LLMs and copilots faster than security and governance teams can keep up. Secure60 helps with both halves — detection for security risk, and frameworks for governance posture.

Both halves on one platform

AI Protection and AI Governance on One Data Context

Protect AI

Threat Detection Across AI Deployments

Integrated directly with SIEM, Vulnerability Management and Log Management on the unified platform.

  • Prompt injection detection
    Pattern matching plus behavioural analysis, live today.
    Threat Detection
  • LLM data exfiltration
    Sensitive data egress through copilots, chatbots and AI APIs.
    Threat Detection · UEBA
  • Shadow AI discovery
    Find unsanctioned AI tools in use. Log analysis + threat intel.
    Log Management · Intel
  • AI audit trail
    Every prompt, model call and response logged for investigation.
    Platform core
  • Compromised AI credentials
    API key abuse, anomalous model usage, credential leakage.
    Threat Detection
  • AI supply chain risk
    Vulnerable model dependencies, ML libraries with CVEs, exposed model endpoints.
    Vulnerability Mgmt
Same
Data
Model
Govern AI

Alignment With the Frameworks Regulators Apply

AI governance operates as a first-class framework within the Governance capability, covering model inventory, evidence collection and board-level risk reporting.

  • ISO 42001 alignment
    AI management systems standard — controls mapped, evidence collected.
    Governance
  • NIST AI RMF support
    Govern · Map · Measure · Manage — all four functions evidenced.
    Governance
  • EU AI Act readiness
    Risk classification, transparency, oversight — readiness posture, tracked.
    Governance
  • Model inventory
    Which AI your organisation is running, discovered and tracked.
    Governance · Log Mgmt
  • AI-specific evidence collection
    Auditor-ready packs, mapped to AI framework controls.
    Governance
  • Board-level AI risk reporting
    AI risk as a number, in the language the board reads.
    Governance · Risk reporting
Framework Coverage

All Three Frameworks Covered

Mapped against the Governance capability, with automatic evidence collection where the source data exists.

ISO 42001

AI Management Systems Standard

Controls covering AI lifecycle, risk management, oversight and transparency. The AI programme is mapped once and evidenced continuously.

NIST AI RMF

Govern · Map · Measure · Manage

The four functions of the NIST AI Risk Management Framework, each evidenced from analyst data and operational telemetry.

EU AI Act

Readiness Posture

Risk classification, transparency obligations and oversight requirements tracked against enforcement timelines.

Responsible AI Engineering

"We build AI agents. We also help you secure them. The same discipline applies to both."

We use AI agents in the platform — they power our digital workers. We do so with built-in audit trails, prompt-attack detection on our own deployments, and the same governance discipline we ask of customers.

For service providers

AI Security Is the Fastest-Growing Requirement in Customer Engagements

Partners are actively building managed AI security services on Secure60. Partner programme details are available on request.

For Service Providers →

Assess AI Security Posture

A 30-minute session maps the organisation's AI footprint and identifies the controls that reduce the most risk first.

Schedule an architecture review Request a proof of concept