SecureAIX
Evaluate, monitor, secure, and govern the AI agents, LLM apps, and chatbots you ship.
SecureAIX helps organizations evaluate, monitor, secure, and govern the AI agents, LLM applications, and chatbots they run, giving security, AI, and GRC teams the visibility, guardrails, and evidence to deploy autonomous and conversational AI with confidence, aligned to the NIST AI RMF, OWASP LLM Top 10, and ISO 42001.
What SecureAIX puts in front of you.
AI agents, LLM apps, and customer-facing chatbots introduce new failure modes like prompt injection, unsafe tool use, drift, and ungoverned autonomy that traditional security tools don't see.
Evaluate → Monitor → Govern
What SecureAIX does.
Agent & model evaluation
Evaluate AI agents, LLM applications, and chatbots for safety, reliability, and security behavior before they reach users.
Runtime monitoring
Monitor agents, LLM apps, and chatbots in production to detect anomalies, drift, and unsafe actions as they happen.
Security guardrails
Guard AI systems against prompt injection, unsafe tool use, and data exposure, across agents and customer-facing chatbots alike.
Governance & policy
Govern your AI footprint with the policies, controls, and oversight compliance requires, aligned to NIST AI RMF, OWASP LLM Top 10, and ISO 42001.
A closer look at SecureAIX.
Pre-deployment evaluation
Benchmark agents, LLM applications, and chatbots against safety, reliability, and security criteria before they ship, so you catch unsafe behavior in evaluation, not production.
- Evaluate before launch
- Safety, reliability & security criteria
- Aligned to NIST AI RMF & OWASP LLM Top 10
From signal to action.
- 01
Evaluate
Benchmark agents, LLM apps, and chatbots against safety and security criteria before launch.
- 02
Monitor
Watch live behavior across your AI footprint and flag anomalies, drift, and unsafe actions.
- 03
Govern
Apply guardrails and governance policies to every agent and chatbot, with evidence mapped to AI frameworks.
Where SecureAIX fits.
SecureAIX — questions, answered.
AI agents, LLM applications, and chatbots — for safety, reliability, and security behavior, both before deployment and in production.
Prompt injection, unsafe tool use, data exposure, and behavioral drift — failure modes traditional application security tools don't see, across agents and customer-facing chatbots.
The NIST AI Risk Management Framework, the OWASP Top 10 for LLM Applications, and ISO/IEC 42001.
Yes — runtime monitoring flags anomalies and unsafe actions live across agents and chatbots, and governance policies apply across your AI footprint.
Related to SecureAIX
Ship AI agents you can prove are safe.
Evaluate, monitor, and govern an agent or LLM app with SecureAIX — before it reaches production.