Inferensys

Services

AI Red Teaming and Adversarial Defense

Security testing of machine learning models for novel vulnerabilities including prompt injection, model manipulation, data poisoning, and jailbreak techniques using frameworks like MITRE ATLAS. Sub-services include agentic AI goal hijacking defense, large language model penetration testing services, data poisoning vulnerability assessments, and continuous AI red teaming programs.
Governance lead reviewing model governance framework on laptop, policy documents visible, executive office setup.
Services

AI Red Teaming and Adversarial Defense

Security testing of machine learning models for novel vulnerabilities including prompt injection, model manipulation, data poisoning, and jailbreak techniques using frameworks like MITRE ATLAS. Sub-services include agentic AI goal hijacking defense, large language model penetration testing services, data poisoning vulnerability assessments, and continuous AI red teaming programs.

Generative AI Penetration Testing

Simulated adversarial attacks against generative AI systems (LLMs, image generators) to uncover critical vulnerabilities like prompt injection, jailbreaking, and data leakage before malicious actors exploit them, using frameworks like MITRE ATLAS.

AI Supply Chain Security Assessment

Comprehensive security audit of the entire AI development lifecycle, from third-party model repositories and training data sources to deployment pipelines, to identify and mitigate risks of poisoned models, backdoors, and compromised dependencies.

RAG System Adversarial Manipulation Testing

Specialized security testing for Retrieval-Augmented Generation architectures, targeting vulnerabilities in vector databases, document chunking, and retrieval logic to prevent data poisoning, context corruption, and unauthorized knowledge base access.

AI Agent Goal Hijacking Defense

Security assessment and hardening of autonomous AI agents and multi-agent systems against manipulation, where adversaries attempt to subvert the agent's objectives, corrupt its tool usage, or induce harmful autonomous actions.

Physical AI and Robotics Security Red Teaming

Adversarial testing of AI systems integrated with physical hardware—such as industrial robots, drones, and autonomous vehicles—to identify vulnerabilities that could lead to safety-critical failures or malicious control.

Domain-Specific LLM Security Red Teaming

Tailored adversarial testing for custom, fine-tuned language models in high-stakes industries like healthcare, finance, and legal, focusing on domain-specific jailbreaks, compliance violations, and specialized prompt injection techniques.