AI Security Consulting
As organizations adopt artificial intelligence, new attack surfaces emerge. We secure your AI pipelines, validate model integrity, and ensure your AI deployments meet emerging regulatory standards.
AI Model Security Assessment
Comprehensive security evaluation of your ML models, covering training data integrity, model extraction, and evasion attack surfaces.
LLM Security & Prompt Injection Defense
Securing large language model deployments against prompt injection, jailbreaks, data leakage, and indirect injection attacks.
Adversarial ML Testing
Red-team style adversarial testing — evasion, poisoning, model inversion, and membership inference — to harden your models.
AI Governance Framework
Policy and governance structure for responsible AI adoption, covering model lifecycle, approval gates, and risk tiering.
AI Data Pipeline Security
Security review of data ingestion, preprocessing, and training pipelines to prevent tampering and unauthorized access.
Model Integrity & Supply Chain Security
Validation of model provenance, signed model artifacts, and protection against model tampering across the MLOps supply chain.
AI Regulatory Compliance
Alignment with emerging AI regulations and standards — EU AI Act, NIST AI RMF, and regional AI governance guidelines.
GenAI Deployment Security
Secure architecture review for generative AI deployments, including RAG pipelines, vector databases, and API exposure.
AI Privacy & Data Protection
Assessment of privacy risks in AI systems, including training data PII, inference leakage, and differential privacy controls.
AI Red Team Operations
Dedicated AI red team exercises simulating sophisticated adversaries targeting your AI systems and decision pipelines.