AI Security
AI / ML Security Assessment
A structured evaluation of your machine learning models and infrastructure against adversarial extraction, evasion, and manipulation. We trace the attack surface from raw datasets through training pipelines to live inference endpoints, validating that your intelligent systems stay resilient under real-world pressure.
Model Extraction Mitigation
Evasion Attack Simulation
Algorithm Logic Verification
Deployment Hardening
LLM Application Security
LLMs are powerful. Unguarded, they're a liability. We test the full integration surface: retrieval pipelines, tool-calling interfaces, and output handlers to ensure your language models serve your users, not an attacker's objectives. Think of it as a penetration test designed specifically for the GenAI era.
RAG Architecture Review
Output Parsing Sanitization
Data Privacy Preserving
Agentic Workflow Security
Direct & Indirect Injection
Jailbreak Resistant Design
System Prompt Obfuscation
Guardrail Bypass Testing
Prompt Injection & Model Manipulation Testing
Prompt injection is the SQL injection of the AI era, and most guardrails give a false sense of security. We execute rigorous adversarial campaigns using direct injection, indirect injection via untrusted data, multi-turn manipulation, and novel jailbreak techniques. You get a clear verdict: can your model be coerced, or is it truly resilient?
Training Data Security & Poisoning Analysis
If an attacker can influence what your model learns, they control what it does. Our assessment maps every ingestion point, validates data lineage and labeling integrity, simulates poisoning scenarios, and hardens access controls to ensure your training pipeline remains a trusted foundation.
Data Lineage Integrity
Poisoning Attack Simulation
Dataset Sanitization
MCP Security (Model Context Protocol Security)
MCP connects your models to the real world: tools, data sources, and workflows. That connectivity creates risk. We audit every interface, validating context boundaries, testing for injection via augmented context windows, and ensuring that no single compromised session can cascade across your AI infrastructure.
Context Window Overflow
Malicious Context Augmentation
Session Isolation
Metadata Leakage Prevention
AI Red Teaming & Adversarial Testing
Traditional penetration testing wasn't designed for AI. Our AI Red Team operations combine offensive security expertise with deep ML knowledge to simulate advanced, multi-stage attacks against your models, data pipelines, and agentic systems. You learn exactly where your AI breaks and how to make it unbreakable.
Full-Scope AI Compromise
Adversarial Prompting
Chain-of-Thought Hijacking
Operational AI Resilience
Managed AI Security Services
Deploying GenAI or ML at scale? You need a security partner that watches the landscape as fast as it shifts. We provide 24/7 monitoring, continuous configuration validation, real-time threat feeds specific to AI/ML, and incident response to keep your intelligent workloads resilient around the clock.