Janus

by SD

A practical AI security navigator that turns uncertainty into a clear, prioritized security action plan.

Security strategy, made executable

Know what to test next.

In a short guided flow, Janus adapts to your answers and builds a practical plan for LLM apps, model programs, agentic tools, and AI platforms.

Assessment

Adaptive security assessment

0 answered

Start when ready.

Use your current reality, not your target state. Rerun anytime to compare progress.

Learn more

Get in touch

Methodology coverage

AI security testing methodology for real delivery teams

Janus helps security leaders turn AI risk into execution by mapping testing actions across prevention, detection, and response. The output is designed for LLM application security testing, agentic workflow security, model pipeline assurance, and AI platform hardening.

  • Prompt injection testing and jailbreak resilience
  • RAG trust boundaries and indirect instruction abuse checks
  • Agentic tool governance, approvals, identity scope, and memory isolation
  • Model pipeline integrity, eval coverage, and release abuse resistance
  • API authentication, tenant isolation, abuse observability, and incident readiness

FAQ

AI security testing questions leaders ask

How does Janus prioritize AI security testing actions?

Janus adapts questions by project scope and answer context, then ranks actions as CRITICAL, HIGH, and MEDIUM so teams know what to execute first.

Can this support AI governance and leadership reporting?

Yes. Janus produces leadership-ready briefs, immediate and quarterly plans, ownership hints, and exportable reports that help align engineering, security, and leadership.

Does it cover LLM apps, agentic systems, and model programs?

Yes. The adaptive flow covers LLM applications, model development pipelines, agentic tool systems, and AI APIs/platforms with branch-specific follow-up questions.