ML/AI Security Solutions
LLM red-teaming, model supply-chain security, adversarial input testing, and AI threat detection for organizations deploying generative systems at enterprise scale. XYBERU's flagship cyber practice for the AI era.
Scope of the Engagement
LLM Red-Teaming
Prompt injection, jailbreak chaining, system-prompt extraction, and tool-abuse testing against your production guardrails.
RAG & Data-Exfiltration Testing
Retrieval poisoning, cross-tenant leakage, and training-data extraction assessment for RAG pipelines.
Model Supply-Chain Security
Provenance verification, dependency and weight-file integrity, and fine-tuning pipeline review.
Agent & Tool-Use Security
Authorization boundary testing for agentic systems with tool access — the fastest-growing attack surface.
Adversarial Robustness Testing
Evasion and perturbation testing for classification and detection models in production.
AI Incident Response Readiness
Playbooks and detection content for AI-specific incidents, from prompt-injection abuse to model theft.
Engagement Process
AI Asset Inventory
Catalog models, pipelines, agents, and third-party AI dependencies to define the test surface.
Threat Modeling
System-specific threat model spanning OWASP LLM Top 10 and your deployment architecture.
Red-Team Execution
Manual and automated adversarial testing with reproducible attack transcripts as evidence.
Hardening & Regression Suite
Guardrail hardening plus an automated regression suite so fixes stay fixed across model updates.
Often Paired With
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