Emerging Risk

AI Security

Governance and technical safeguards for organisations building and adopting AI systems responsibly.

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At a Glance

  • Covers internal tools, SaaS AI features and custom LLM apps
  • Testing informed by OWASP LLM Top 10
  • Policy templates ready for board approval
  • Vendor-neutral across major AI platforms
Overview

How we help

AI adoption is moving faster than most organisations' risk frameworks. We help you use AI systems and large language models with appropriate guardrails — covering data exposure, model governance and adversarial risks specific to AI, without stalling innovation.

What's included

  • AI use policy and governance framework development
  • Large language model application security review
  • Data leakage risk assessment for AI tooling
  • Model access, prompt injection and abuse testing
  • Third-party AI vendor risk assessment
  • AI incident response playbook development
Our Approach

How a AI Security engagement runs

Step 1

Map

We inventory current and planned AI use across the organisation, including shadow AI usage.

Step 2

Assess

AI applications and integrations are reviewed for data exposure and abuse risk.

Step 3

Govern

Clear policy and approval workflows are established for safe AI adoption.

Step 4

Monitor

We help set up ongoing oversight as AI use and tooling continues to evolve.

Related Services

Often paired with

Let's discuss your ai security needs

Book a no-obligation call with a senior Tshaba Secure consultant to talk through your environment.

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