Protect AI. From Model to Production.
Securing AI systems against prompt injection, data poisoning, model theft, and the unique risks of autonomous AI agents.
AI Introduces New Attack Surfaces — Secure Them
AI systems — especially generative AI and LLM-based agents — introduce security risks that traditional application security doesn't cover. Prompt injection, training data poisoning, model extraction, and unsafe tool use are all real, documented attack vectors.
Our Cybersecurity for AI practice helps you secure AI systems across their entire lifecycle — from data ingestion and training to deployment and runtime — so you can innovate with confidence.
Our Capabilities
AI Threat Modeling
Identifying risks specific to your AI systems — from prompt injection to model inversion and data leakage.
LLM Guardrails
Implementing input/output validation, content filtering, and jailbreak protection for generative AI.
Training Data Security
Protecting training data pipelines from poisoning, tampering, and unauthorized access.
Model Access Control
Securing model endpoints, APIs, and weights with identity-based access and usage monitoring.
AI Red Teaming
Adversarial testing of your AI systems to uncover vulnerabilities before attackers do.
Runtime AI Monitoring
Continuous monitoring of AI behavior for anomalies, misuse, and unsafe outputs in production.
Why AI Security Is a Business Imperative
AI systems that aren't secured become liabilities — for your data, your customers, and your reputation.
- Prevent prompt injection and jailbreak attacks
- Protect proprietary models and training data
- Meet emerging AI security regulations
- Build customer trust in your AI products
- Enable safe adoption of generative AI across the business
Our AI Security Methodology
We secure AI systems end-to-end — from design through deployment and runtime.
AI Risk Assessment
We identify your AI systems, data flows, and the specific threats they face.
Control Design
We design security controls for data, models, APIs, and runtime behavior.
Testing & Red Teaming
We stress-test your AI systems with real adversarial techniques.
Continuous Monitoring
We deploy runtime monitoring and refine controls as AI threats evolve.
Ready to talk about Cybersecurity for AI?
Tell us about your environment and goals — our team will assess your needs and recommend the most practical path forward.