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AI Agent & Chatbot Security

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.

The picture

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

AI agent evaluation and guardrailsA prompt flows into an agent surrounded by a guardrail ring that blocks an unsafe tool action before it reaches the output.tooltooltoolagentunsafe action blockedPromptOutput evaluated · monitored · governed
Capabilities

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.

In depth

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
How it works

From signal to action.

  1. 01

    Evaluate

    Benchmark agents, LLM apps, and chatbots against safety and security criteria before launch.

  2. 02

    Monitor

    Watch live behavior across your AI footprint and flag anomalies, drift, and unsafe actions.

  3. 03

    Govern

    Apply guardrails and governance policies to every agent and chatbot, with evidence mapped to AI frameworks.

Use cases

Where SecureAIX fits.

Pre-deployment evaluation of agents, LLM apps, and chatbots
Production monitoring & anomaly detection for conversational AI
Prompt-injection & unsafe-tool-use defense
AI governance & compliance oversight
FAQ

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

Related to SecureAIX

Solution

AI Security & Governance

Evaluate, monitor, secure, and govern AI agents and LLM apps with SecureAIX.

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Article

Securing agentic AI: a threat model and reference architecture

Autonomous agents plan, call tools, and act on their own. That autonomy is exactly what expands the attack surface. Here is a practical threat model and a reference architecture for deploying agents safely.

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Defending against prompt injection in production LLM applications

Prompt injection is the top risk in the OWASP LLM Top 10 for a reason: there is no single patch. This is a defense-in-depth playbook for direct and indirect injection in real applications.

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AI red teaming: stress-testing LLMs and agents before attackers do

Red teaming AI is not one clever jailbreak — it is a repeatable discipline. Here is a methodology, a taxonomy of tests, and how to operationalize it as a continuous control.

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Industry

Technology & SaaS

Shipping fast, and shipping AI features, means security has to keep pace with the pipeline.

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Docs

SecureAIX documentation

Guides and reference.

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Ship AI agents you can prove are safe.

Evaluate, monitor, and govern an agent or LLM app with SecureAIX — before it reaches production.