Specialized Technical AI Security Practice Lines
From adversarial red teaming of LLM decision agents to sandboxing Model Context Protocol (MCP) integrations, our specialized services assure production AI deployments.
AI Red Teaming & Adversarial Testing
Identify jailbreaks, prompt injection vulnerabilities, function abuse, and non-deterministic logic flaws before attackers do.
- Direct and indirect prompt injection payload generation and automated fuzzing
- System prompt extraction, guardrail bypass, and jailbreak resilience testing
- Agentic tool-call hijacking and parameter poisoning evaluation
Autonomous Agent Security Architecture Review
Verify principle of least privilege, memory persistence, tool execution sandboxing, and human-in-the-loop controls for autonomous agents.
- Trust boundary and data flow diagram analysis across agent components
- Tool permission model, API scope, and least-privilege verification
- Memory persistence (short-term & long-term) security audit
Model Context Protocol (MCP) & Extension Security
Audit MCP tool definitions, resource schemas, prompt templates, and communication channels for remote code execution and data exfiltration.
- MCP tool parameter schema validation and sanitization analysis
- Resource access path traversal and local file disclosure audit
- Prompt template injection vector analysis in MCP servers
LLM Pipeline & RAG Infrastructure Hardening
Prevent context poisoning, vector store leakage, unauthorized document retrieval, and guardrail evasion in RAG pipelines.
- Indirect prompt injection testing via document ingestion and chunking
- Vector database tenant isolation and document-level permission audit
- Embedding inversion and training/retrieval data leakage assessment
AI Threat Modeling & Risk Assessment
Map trust zones, model assets, tool interfaces, and failure scenarios early in the product design lifecycle.
- System decomposition and data flow mapping for AI workloads
- Threat identification using MITRE ATLAS and AI-STRIDE taxonomy
- Abuse case and misuse case scenario generation
SecOps & AI Governance Integration
Build continuous AI monitoring, audit logging, policy enforcement, and regulatory compliance readiness into your SOC.
- AI audit log and telemetry architecture design
- SIEM / SOAR rule development for prompt injection and tool abuse detection
- AI Incident Response Playbook creation (model isolation, guardrail trip handling)
Need a Custom Security Scoping Assessment?
We adapt our security testing frameworks to match your unique agent architecture, model hosting provider, and enterprise compliance requirements.