AI Security for Organisations Adopting AI

AI Model Advisory

Before you commit to a model, we help you choose. We assess open-source and commercial models against what you actually need, and tell you plainly which are suitable and how safe each one is.

• How each model handles your data
• Resistance to misuse
• Reliability and accuracy
• Cost
• Fit with your regulatory requirements

Continuous AI Red Teaming

Models, prompts and knowledge bases change constantly, so a one-time test goes stale fast. Our AI red team attacks your deployed AI on an ongoing basis, so it stays safe as it evolves. This is the live counterpart to our pre-launch AI and LLM penetration testing.

Human–AI Trust Layer Coming Soon

Coming soon

A protective gateway between your users and your AI system.

• Input filtering blocks malicious or manipulative prompts
• Output guardrails stop sensitive data leaks and unsafe actions
• Human-in-the-loop approval for high-risk AI actions
• Full audit trail of every AI decision, so you can explain what your AI did and why

AI Governance and Assurance

Prove your AI is safe and responsible. We deliver AI risk assessments, alignment with emerging regulation such as the EU AI Act, India's evolving AI governance framework and the DPDP Act, and evaluations for bias, fairness and safety.

Shadow AI Discovery

Your employees are probably using AI tools you haven't approved. We find which ones, what company data is going into them, and which uses need a policy, an approved alternative or a block.

AI Supply Chain Checks

We scan the models, datasets and AI libraries you download for tampering, hidden malicious code and unclear origins. You get an AI bill of materials (AI-BOM) listing every AI component in use.

Deepfake and AI-Fraud Readiness

Could a cloned voice of your CFO move money? With written authorisation, we test whether finance, helpdesk and executive-support staff can be fooled by cloned voices, fake executive video or AI-written requests, and whether your payment and approval controls hold.