AI/ML Model Security & Hardening
Protect your models from tampering, theft, and adversarial manipulation.
PRACTICE 02 · 20 services
Security for systems that make decisions
A model in production is attack surface. It can be poisoned during training, extracted through its API, manipulated at inference time, or turned into a data-exfiltration channel by a prompt written into a document it was asked to summarise.
Traditional application security does not cover any of that. Our AI security practice hardens the whole stack — the data that trains it, the pipeline that builds it, the model itself, the prompt and inference plane, and the governance that has to answer for it.
LLM and GenAI security
Prompt injection and jailbreak defence, output handling, tool-calling validation, and retrieval pipeline security for RAG systems.
Adversarial ML and AI red teaming
We attack your model the way a motivated adversary would: evasion, extraction, inversion, and poisoning, with the fixes written up alongside.
AI supply chain security
Dataset provenance, model artefact signing, dependency review, and controls for third-party models you did not train.
Governance that regulators accept
EU AI Act and NIST AI RMF alignment, bias detection, explainability, and AI-specific incident response planning.
The full catalogue
AI/ML Model Protection
7 SERVICESAdversarial Machine Learning Testing
Discover how attackers could trick your models — and fix it before they do.
AI Red Teaming & Penetration Testing
Simulate real-world attacks on your AI systems to expose hidden weaknesses.
AI Model Auditing & Validation
Independent validation that your models perform safely and as intended.
AI Supply Chain Security
Secure every dependency, dataset, and component feeding your AI pipeline.
MLOps Security (Securing ML Pipelines)
Embed security into your ML lifecycle from training to deployment.
AI-Powered Security Automation
Use AI to accelerate threat detection, triage, and response across your environment.
LLM & GenAI Security
6 SERVICESLLM Security (Prompt Injection, Jailbreak Prevention)
Stop prompt injection and jailbreak attacks on your language models.
GenAI Security Assessment
A comprehensive security review of your generative AI implementations.
AI Data Privacy & Protection
Ensure your AI systems don't leak, memorize, or misuse sensitive data.
AI-Powered Threat Detection
Leverage AI to detect sophisticated threats human analysts might miss.
Deepfake Detection & Prevention
Identify and defend against AI-generated deepfake content targeting your business.
Prompt Engineering Security
Secure your prompt pipelines against manipulation, leakage, and abuse.
AI Governance
7 SERVICESResponsible AI Implementation
Build AI systems your customers and regulators can trust.
AI Governance & Ethics Compliance
Structured governance that keeps your AI ethical, fair, and accountable.
AI Compliance (EU AI Act, NIST AI RMF)
Navigate complex AI regulations with confidence and stay ahead of mandates.
AI Bias Detection & Mitigation
Find and fix bias in your models before it harms people or your reputation.
AI Risk Assessment & Management
Quantify and manage the unique risks your AI systems introduce.
AI Explainability & Transparency
Make your AI decisions interpretable, auditable, and trustworthy.
AI Incident Response Planning
Prepare your organization to detect, respond to, and recover from AI-specific security incidents.