AI / ML Platforms Pentesting & VAPT
Pentesting and red-teaming for LLM apps, RAG pipelines, MLOps and model-serving infrastructure.
AI security is more than prompt injection. StartSecure red-teams the full stack — model serving, RAG retrievers, tool/agent execution, training pipelines and the supply chain — aligned to OWASP LLM Top 10, NIST AI RMF and the EU AI Act.
Attack patterns specific to AI / ML Platforms
Prompt injection & jailbreak chains
Direct, indirect (via RAG sources), and tool-use chained jailbreaks.
Training-data poisoning
Backdoored embeddings, malicious documents in RAG corpora, fine-tune data abuse.
Model & weights theft
Exposed model endpoints, weights exfil via inference APIs, unscoped service tokens.
Agent / tool execution abuse
SSRF via plugins, RCE through code-interpreter, privilege escalation via MCP tools.
Our ai / ml platforms testing approach
OWASP LLM Top 10 coverage
Every category tested against your specific app, not generic scanners.
Agent & tool-chain red-teaming
Adversarial agent scenarios — data exfil, lateral movement, tool privilege abuse.
MLOps + infra pentest
Training pipelines, feature stores, model registries and inference clusters all in-scope.
What you get
- Reduce hallucination + jailbreak risk before customer rollout.
- Evidence pack aligned to NIST AI RMF and EU AI Act.
- Pre-launch readiness review for high-risk AI features.
Aligned to
AI / ML Platforms pentesting — common questions
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