AI-first product: shipping agents with oversight

Challenge

Autonomous agents and LLM features shipping without oversight — prompt injection, unsafe tool use, and drift that traditional AppSec tools never saw.

Solution

SecureAIX evaluates agents before launch, monitors behavior in production, and applies guardrails and governance — aligned to NIST AI RMF and the OWASP LLM Top 10.

Outcome

The team ships autonomous features with a defensible, measured approach to AI risk.

Challenge

Autonomous agents and LLM features shipping without security oversight. Traditional application security tools didn't see prompt injection, unsafe tool use, or behavioral drift.

How Vaultryx AI helps

SecureAIX evaluates agents and LLM applications before launch, monitors their behavior in production for anomalies and unsafe actions, and applies guardrails and governance policies — aligned to the NIST AI RMF and OWASP Top 10 for LLM applications.

Outcome

The team ships autonomous features with a defensible, measured approach to AI risk — rather than hoping for the best.

This is a representative scenario, not a named customer engagement.

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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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Article

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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