AI Security & LLM Red Teaming
The most advanced threat your organization hasn't stress-tested yet.
We test the security of your AI systems the way an attacker would. From prompt injection and jailbreaks to RAG pipeline vulnerabilities and adversarial inputs — we find what your AI does when pushed beyond its guardrails.
Our team has deep experience in adversarial machine learning, LLM exploitation, and AI supply chain security. We go beyond automated scanning — every assessment includes manual exploitation by security researchers who understand both the AI and infosec domains.
The Challenge
Organizations are deploying LLMs, RAG systems, AI agents, and copilots faster than security teams can assess them. Traditional application security testing doesn't cover AI-specific attack vectors.
Prompt injection, training data poisoning, model theft, and agent hijacking are real threats that require specialized testing methodologies. Without dedicated AI security assessments, these risks go undetected until an attacker exploits them.
Our Approach
Threat Modeling
Map your AI system architecture, data flows, trust boundaries, and attack surface. We identify every point where an adversary could influence model behavior or extract sensitive data.
Adversarial Testing
Manual and automated testing for prompt injection, jailbreaks, data extraction, and abuse scenarios. We use techniques drawn from current academic research and real-world attack campaigns.
Pipeline Assessment
Review RAG pipelines, embedding stores, tool-use configurations, and agent permissions. We evaluate the entire chain from user input to model output, including every integration point.
Remediation
Prioritized findings with concrete fixes, guardrail recommendations, and monitoring guidance. Every vulnerability comes with a clear path to resolution and verification steps.
Deliverables
Who This Is For
- AI-first startups deploying customer-facing LLM products
- Enterprises integrating copilots and AI assistants
- Companies building AI agents with tool-use capabilities
- Organizations with RAG systems accessing sensitive data
Interested in ai security & LLM red teaming?
Let's discuss how we can help secure your organization.
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