Secra保护 AI 代理人免受攻击、指令注入和数据泄露的安全栈层

4.5 (4)

审阅者 Daniel Nikulshyn·更新 2026年7月

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

概览

Secra 是专为 AI 代理和基于 LLM 的应用构建的安全平台。它位于代理与其输入、工具和输出之间，在提示注入、越狱尝试以及未授权工具使用等威胁造成危害之前进行检测。服务还能监控代理活动中的敏感数据泄露，帮助团队防止凭证、PII 或专有信息的泄漏。日志和警报为安全团队提供对代理在生产环境中使用和被滥用情况的可见性。 Secra 旨在为部署自主或面向客户的 AI 系统、且需要超出基础模型所能提供的防护措施的工程与安全团队提供支持。

主要功能

指令注入和越狱检测
敏感数据和 PII 过滤
代理活动监测和日志
工具使用和输出策略执行
对疑似行为的通知
对常见 LLM 供应商的集成

价格

模型: Free
分类: AI
评分: 4.5 / 5 (4)

使用场景

阻止在客户端可见性代理中进行指令注入

过滤来自用户的输入消息和工具输出，以在到达 LLM 之前检测到越狱和注入的试图，保护客户端聊天机器人免受操纵。

预防 PII 和凭证泄露

在扫描代理输入和输出时查找敏感数据，如 PII、秘密或专有内容，以防止意外暴露在日志、响应或下游工具中。

强制执行自动代理的工具使用策略

根据条件应用策略，限制 agent 可以调用的工具和下游工具以防止未经授权的行动。这样在多步或自动工作流中有更好的效果。

在生产环境中审计代理行为

为安全团队提供日志、通知和行为可视性，以便能够及时做出应对和安全性检查。

优点 & 缺点

优点

专注于新兴的 AI 代理人威胁
有助于防止数据泄露和 PII 暴露
提供代理行为的可视性
以现有模型的栈形式存在
能让团队更好地做到安全的实践

缺点

在代理之间可能会增加延迟
需要集成工作来部署
有效性取决于风险覆盖

评测

4.5

4 个评分的平均值。

登录以留下评测。

Aisha Khan

Feb 6, 2026

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

Nov 26, 2025

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

Sep 7, 2025

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

Jul 20, 2025

Does the job

问答

What is Secra?

Secra is an AI security infrastructure layer that sits between your AI agents and the LLM. It detects and blocks prompt injection attacks, persona hijacking, and data exfiltration in real time before they reach your model.

Asked by Tomáš Novák · Dec 3, 2025

How does Secra detect prompt injection?

Secra uses a 3-layer detection pipeline: Layer 0 is an Aho-Corasick pre-processor that catches 30+ known injection signatures in under 1ms at zero token cost. Layer 1 applies a regex rule engine for pattern-based threats. Layer 2 uses Groq LLM inference only for ambiguous cases scoring 0.25-0.75.

Asked by Dara Fitzgerald · Nov 9, 2025

Is Secra free to use?

Yes. Secra's Free plan includes 50K tokens per month at no cost, forever. Paid plans start at $15/month for 200K tokens (Developer) and $49/month for 500K tokens with real-time monitoring (Pro).

Asked by Quoc Bui · Oct 19, 2025

Does Secra store my prompts?

No. Secra never stores raw prompts. Only SHA-256 hashes and metadata (scan type, threat score, recommendation, token count) are retained for audit history.

Asked by Noor Siddiqui · Oct 9, 2025

How do I integrate Secra into my AI agent?

Install the SDK with 'pip install secra-sdk' (Python) or 'npm install @secra/sdk' (JavaScript), set your SECRA_API_KEY environment variable, and call client.scan(prompt) before passing input to your LLM. The entire integration takes under 2 minutes.

Asked by Faisal Rahman · Oct 1, 2025