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AIS-02 · AI Security

Measure AI risk before it reaches production

We assess each AI use case against security, privacy and regulatory risks, then give you a ranked list of what to fix, what to accept and what to stop.

The problem

What we see in most companies

These are the gaps we find most often when we start. Each one is fixable with the right owner and a plan.

  • Sensitive or personal data flowing into model prompts and logs
  • Agents with more permissions than their task needs
  • Model and dataset supply-chain tampering
  • Customer and regulator questions you can't answer yet
What we do

How TokenAegis delivers AI Risk Assessment

Threat modelling

Map data flows, trust boundaries and tool calls for each AI system, using MITRE ATLAS techniques.

Privacy impact

Check personal-data handling against PDPA obligations and your customers' contract terms.

Control gap analysis

Compare current controls with ISO/IEC 42001, NIST AI RMF and OWASP LLM Top 10.

Risk register

Rate each finding by likelihood and impact, with an owner and a target date.

Deliverables

What you receive

Everything is written for your business, in plain language, and yours to keep.

Aligned to
NIST AI RMFISO/IEC 23894MITRE ATLASPDPA
  • AI risk assessment report with an executive summary
  • Threat model diagram for each system in scope
  • Prioritised remediation plan (30 / 60 / 90 days)
  • Board-ready one-page risk summary
How it works

From first call to handover

  1. Discovery call30 minutes to understand your business, systems and deadlines.
  2. ScopingA fixed-fee proposal with clear deliverables, usually within 3 business days.
  3. DeliveryHands-on work with your team, with weekly check-ins.
  4. HandoverReports, evidence and a plan your team can keep running.
Get started

Talk to a CISO this week

Tell us where you are with security and AI. In 30 minutes we'll show you what we'd fix first, and what it would cost.