Secure Your
AI Models & Agents
Expose vulnerabilities in LLMs, autonomous AI agents, RAG pipelines, and vector databases before malicious actors exploit them. We perform rigorous red teaming, prompt injection attacks, and guardrail validation.
EXECUTIVE OVERVIEW
Adversarial AI Risk & Guardrail Hardening
Generative AI models and autonomous agents introduce novel attack surfaces that standard web application firewalls (WAFs) and legacy vulnerability scanners cannot detect. Attacks like indirect prompt injection allow adversaries to manipulate LLMs through untrusted data sources (e.g., emails, ingested PDFs, web scrapes).
Our specialized AI Security team executes targeted red teaming against model architectures, RAG pipelines, function-calling agents, and embedding databases to ensure robust safety guardrails, privacy protection, and operational resilience.
CORE CAPABILITIES
Comprehensive AI Threat Assessment
End-to-end security audits covering model inputs, retrieval mechanisms, agent actions, and output filters.
Direct & Indirect Prompt Injection Testing
Stress-test LLM systemic controls against jailbreaks, hidden instructions in ingested PDFs/RAG sources, and zero-width unicode obfuscation.
RAG & Vector Database Integrity Auditing
Evaluate embedding store access controls, detect vector drift attacks, and eliminate data contamination in retrieval-augmented pipelines.
Autonomous Agent & Tool-Use Security
Assess functional boundaries of autonomous agents, preventing SSRF, command injection, and privilege escalation via LLM function calling.
PII & Model Inversion Resistance
Validate output filtering against data leakage, training memory extraction, fine-tune regurgitation, and system prompt disclosure.
OWASP Top 10 for LLMs Compliance
Benchmark your generative AI ecosystem against the OWASP Top 10 for Large Language Model Applications standard.
Guardrail Efficacy & Latency Benchmarking
Measure real-world performance, bypass thresholds, and latency overhead for custom safety wrappers and guardrail models.
STANDARD COVERAGE
OWASP Top 10 for LLM Applications
We test against the industry-standard OWASP Top 10 framework for Large Language Models, ensuring your enterprise satisfies compliance requirements and mitigates high-impact AI vulnerabilities.
PROCESS & AUDITING
AI Security Testing Lifecycle
A structured, repeatable methodology designed specifically for non-deterministic AI behavior.
Ready to Hardened Your AI Stack?
Schedule an adversarial AI security evaluation or LLM red teaming exercise with our specialized threat intelligence team.