Defensive Security

AI / LLM Red Teaming
& Offensive AI

Overview

Attack AI Before Attackers Do

AI systems introduce a fundamentally new attack surface. Prompt injection, jailbreaking, training data poisoning, model inversion, and adversarial inputs are not theoretical risks; they are being actively exploited in production environments today.

Endurance Security provides hands-on adversarial testing of LLMs, AI-powered applications, RAG pipelines, autonomous agents, and ML infrastructure using the OWASP LLM Top 10 and emerging offensive AI research.

Every engagement is personally executed by our senior security practitioners, combining traditional penetration testing methodology with AI-specific attack patterns to surface risks that automated scanners miss.

Attack AI Before Attackers Do
AI Red Teaming Capabilities
Capabilities

AI Red Teaming Capabilities

  • Prompt injection and jailbreak testing
  • LLM API security and access control testing
  • RAG pipeline poisoning and retrieval manipulation
  • Autonomous AI agent security assessments
  • Training data extraction and model inversion
  • Adversarial input testing for ML classifiers
  • AI supply chain and dependency risk assessment
  • LLM integration security (plugin, tool, function calling)
  • OWASP LLM Top 10 full coverage assessments
Our Approach

AI Red Team
Methodology

AI Attack Surface Mapping

Comprehensive mapping of all AI components: LLM endpoints, RAG pipelines, agents, tool integrations, and data flows.

Adversarial Testing

Manual and automated prompt injection, jailbreak, and adversarial input testing using custom techniques and OWASP LLM Top 10.

Impact Assessment

Business impact analysis of discovered vulnerabilities: data exfiltration risk, privilege escalation, and downstream system compromise.

AI Security Hardening

Actionable remediation guidance for prompt guardrails, output filtering, access controls, and AI-specific security architecture.

Our Approach