Secra

Security layer that shields AI agents from attacks, prompt injection, and data leaks.

4.5 (4)

Évalué par Daniel Nikulshyn·Mis à jour mai 2026

Data Loss Prevention Prompt Injection Defense Observability Agent Monitoring Enterprise LLM Guardrails AI Security

Aperçu

Secra is a security platform built specifically for AI agents and LLM-powered applications. It sits between agents and their inputs, tools, and outputs to detect threats like prompt injection, jailbreak attempts, and unauthorized tool use before they can cause harm. The service also monitors agent activity for sensitive data exposure, helping teams prevent leaks of credentials, PII, or proprietary information. Logs and alerts give security teams visibility into how agents are being used and abused in production. Secra is aimed at engineering and security teams deploying autonomous or customer-facing AI systems who need guardrails beyond what a base model provides.

Fonctionnalités clés

Prompt injection and jailbreak detection
Sensitive data and PII filtering
Agent activity monitoring and logging
Tool-use and output policy enforcement
Alerts for suspicious behavior
Integration with common LLM providers

Cas d’usage

Block prompt injection in customer-facing agents

Filter incoming user messages and tool outputs to detect jailbreaks and injection attempts before they reach the LLM, protecting public-facing chatbots from manipulation.

Prevent PII and credential leaks

Scan agent inputs and outputs for sensitive data like PII, secrets, or proprietary content to stop accidental exposure in logs, responses, or downstream tools.

Enforce tool-use policies for autonomous agents

Apply guardrails on which tools an agent can invoke and under what conditions, preventing unauthorized actions during multi-step or autonomous workflows.

Audit agent behavior in production

Give security teams logs, alerts, and visibility into how AI agents are being used and abused, enabling incident response and compliance reviews.

Pour & contre

Pour

Focused on emerging AI agent threats
Helps prevent data leaks and PII exposure
Provides visibility into agent behavior
Works as a layer over existing models

Contre

Adds latency to agent calls
Requires integration work to deploy
Effectiveness depends on threat coverage

Avis

4.5

Moyenne sur 4 avis.

Connecte-toi pour laisser un avis.

Aisha Khan

Does the job

Pretty happy overall. Sensitive data and PII filtering just works and focused on emerging AI agent threats. Effectiveness depends on threat coverage can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Camille Laurent

Solid for our team

We rolled this out across the team last quarter and works as a layer over existing models. Agent activity monitoring and logging fits neatly into how we already work, and sensitive data and PII filtering removed a step we used to do by hand. Adds latency to agent calls, which is the main caveat, but it has held up under daily use.

Ahmed Saleh

Does the job

Pretty happy overall. Alerts for suspicious behavior just works and provides visibility into agent behavior. but no dealbreakers — I'd recommend it to a friend without hesitating.

Grace Okafor