04 · Innovate

AI Security & AI-Driven Defence

Protect your AI systems from adversarial attacks — and use AI to predict and counter new threats.

At a glance

PillarInnovate
Typical engagementFixed-scope project
Key frameworksNIST AI RMF, ISO/IEC 42001
Request a proposalFree readiness assessment
Overview

AI Security & AI-Driven Defence

AI is transforming both business and attack techniques. We secure your AI systems against adversarial manipulation, data poisoning, prompt injection and model theft, and we develop AI-driven defences — including behavioural analytics that detect ransomware early and models that predict emerging attack vectors.

Challenges we solve

Is this you?

  • Adoption of generative AI without security guardrails
  • Sensitive data exposed to AI tools
  • Prompt injection and model manipulation risks
  • AI-generated phishing and deepfake fraud
What’s included

Scope & deliverables

AI risk assessment and governance framework

LLM / AI application security testing (prompt injection, data leakage)

Model and training-data protection

Secure AI architecture and access controls

AI-driven behavioural detection use cases

Deepfake and AI-fraud awareness for executives

Methodology

How we deliver

  1. Inventory

    Map AI systems, data flows and use cases.

  2. Assess

    Evaluate risk against AI-specific threat models.

  3. Test

    Adversarial and prompt-injection testing.

  4. Protect

    Implement guardrails, controls and monitoring.

  5. Govern

    Policies, oversight and continuous review.

Frameworks & standards

Aligned to the standards that matter

NIST AI RMFISO/IEC 42001OWASP Top 10 for LLM ApplicationsMITRE ATLASUAE AI ethics guidelines

Tools & technology

LLM red-teaming toolingData-loss preventionAI gateway / guardrailsBehavioural analytics
Engagement models

Flexible ways to work with us

Fixed-scope project

Defined scope, timeline and deliverables — ideal for a first assessment or audit.

Retainer

A reserved block of expert hours per month for ongoing advisory and reviews.

Embedded / interim

A Cybersense lead embedded in your team for a programme or transition.

Outcomes

What success looks like

Safe, governed adoption of AI

Reduced risk of data leakage via AI tools

Resilience against adversarial attacks

Earlier detection through AI analytics

FAQ

Frequently asked questions

Can you test our chatbot or LLM application?

Yes — we test for prompt injection, jailbreaks, data leakage and insecure tool use.

Talk to an expert

Discuss AI Security & AI-Driven Defence with an expert

Tell us about your environment and objectives — we will propose a scope, timeline and engagement model that fits.

Free security audit — no obligationBook now