Generative AI Security
The rapid deployment of enterprise LLMs has outpaced security. Prompt injection, data poisoning, and model inversion present entirely novel attack surfaces. OSM’s AI-focused security module rigorously fuzzes your AI applications.
Prompt Fuzzing
Agentic testing hits your LLM APIs with thousands of injection bypass variants.
RAG Architecture Safety
Validate that your Retrieval-Augmented Generation pipeline isn’t leaking PII.
Data Poisoning Scans
Analyze training corpora for malicious hidden payloads via statistical deviation.
Output Guardrails
Ensure your AI applications cannot be weaponized to generate malicious code.
Adversarial Emulation
OSM deploys an Adversarial AI agent designed to trick your enterprise LLM. It tests for role impersonation, jailbreaking, and unauthorized privilege culmination natively within your RAG pipeline.
- Continuous adversarial attacks (Red Teaming)
- Semantic payload variability
- Privilege isolation validation
Stopping PII Exfiltration
When your AI agents scan internal documents, they risk regurgitating highly confidential data to the wrong employees. OSM rigorously validates your identity and access management limits at the LLM query layer.
- RBAC cross-contamination checks
- Implicit PII redaction audits
- Vector database isolation testing
