Secra
A security layer protecting AI agents from attacks and data leaks
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Secra, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.
Overview
Secra is a specialized security solution designed to sit between AI agents and large language models (LLMs), acting as a protective intermediary. It monitors AI interactions in real time to detect and prevent common security threats targeting AI systems. The platform primarily addresses three core threats: prompt injection attacks where malicious inputs manipulate the AI's behavior, persona hijacking where the AI's intended role is subverted, and data exfiltration where sensitive information is illicitly extracted. It is built for developers and organizations deploying AI agents in production environments where security and data integrity are critical.
Key features
- Real-time threat detection for AI interactions
- Protection against prompt injection attacks
- Prevention of AI persona hijacking
- Blocks data exfiltration attempts
- Acts as an intermediary security layer between agents and LLMs
Use cases
- Securing customer service AI agents handling sensitive data
- Protecting internal research or analysis agents from manipulation
- Safeguarding autonomous agents in financial or legal applications
- Adding a security audit layer to multi-agent AI workflows
- Preventing data leaks from AI-powered coding or productivity assistants