CoreLayer Security
ServicesTesting, red team, architecture review, and compliance.
From adversarial testing of production LLMs to board-ready risk narratives, CoreLayer engagements are scoped to your stack and mapped to OWASP LLM Top 10, MITRE ATLAS, and the frameworks your auditors expect.
LLM Penetration Testing
Your language model is an attack surface. We test it like one.
CoreLayer conducts structured, intelligence-led penetration testing of large language model deployments from customer-facing chatbots to internal agentic pipelines. Our methodology is built exclusively for generative AI systems, not retrofitted from legacy application security frameworks.
Engagements are scoped to your architecture and threat model. Every test produces severity-rated findings, full technical evidence, and remediation guidance mapped to OWASP LLM Top 10 and MITRE ATLAS.
What we test: prompt injection (direct and indirect), jailbreak and alignment bypass, system prompt extraction, training data extraction, model inversion, tool-call and function abuse, context-window manipulation, multi-turn adversarial escalation, agentic loop exploitation, RAG poisoning and retrieval attacks.
AI Red Team Operations
Adversarial simulation of your AI-enabled products and infrastructure - continuous or point-in-time. Our red team operates across MITRE ATLAS tactics, combining automated tooling with human adversarial creativity to surface vulnerabilities that scanners miss.
We simulate the full attack lifecycle: reconnaissance, exploitation, post-exploitation, and impact assessment. Engagements produce board-ready reporting alongside deep technical disclosure.
AI Security Architecture Review
Security review of your AI system design before deployment or against a live environment. We assess your threat model, data flow, model access controls, guardrail implementation, and API exposure against OWASP LLM Top 10, NIST AI RMF, and ISO 42001.
Deliverables include a gap analysis, control effectiveness rating, and a prioritised remediation roadmap your engineering team can act on immediately.
AI Risk & Compliance Advisory
We translate AI security risk into language regulators, boards, and insurers understand. CoreLayer advises enterprises navigating the EU AI Act, NIST AI RMF, and sector-specific AI governance obligations with control frameworks and remediation roadmaps built for operationalisation, not shelf storage.
Engagements include conformity assessment support, AI Bill of Materials generation, vendor AI risk due diligence, and incident response planning for AI systems.