Services
AI Red Teaming
Find vulnerabilities and adversarial risks unique to LLM and ML‑powered applications.
Prompt Injection & Jailbreaks
System prompt extraction, instruction hijacking, policy evasion, and cross‑domain prompt attacks.
- Indirect prompt injection (content/links/tools)
- Safety/policy bypass and persona leakage
- Response hardening and guardrails
Data Leakage & Privacy
Sensitive information disclosure through memory, RAG corpora, function responses, or logs.
- PII, secrets, and proprietary data exposure
- RAG index abuse and retrieval manipulation
- Retention and redaction controls
Tools, Functions, and Agents
Dangerous tool invocation, SSRF/command routes, and agentic loop escalation with real‑world constraints.
- Function parameter injection and validation
- Outbound call restrictions and egress policies
- Sandboxing and rate/permission limits
Safety & Abuse Policies
Policy tuning for harmful content, bias, fraud, and compliance contexts.
- Constraint templates and red‑team corpora
- Refusal and fallback patterns
- Audit trails and safety summaries
MCP Security Testing
Hardening Model Context Protocol (MCP) servers, clients, and connectors: permissions, isolation, and safe tool/resource exposure.
- Capabilities, grants, and allow‑lists for tools/resources
- Auth/trust: key & token handling, origin checks, request signing
- Sandbox/egress: FS isolation, command/HTTP gating, rate/perms
Evaluation & Monitoring
Repeatable evals for risky prompts, drift, and regressions; integrate with CI and runtime safeguards.
- Benchmark suites and gated releases
- Runtime guard checks and alerts
- Post‑fix retesting and metrics