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The first platform scanning all GitHub public activity in real time for API secret tokens, database credentials or vault keys. Be alerted in seconds. Integrate in minutes. | A breakthrough approach to securing applications built with AI assistance. SecVibe complements your existing security stack with specialized controls. |
| - | VibeCoding, Cybersecurity, Developer Tools, AI Tools, DevSecOps, Application Security |
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Waxell is the AI governance plane for agentic systems in production. It sits above agents, models, and integrations, enforcing constraints and defining what's allowed. Auto-instrumentation for 200+ libraries without code changes. Real-time tracing, token and cost tracking, and 11 categories of agentic governance policy enforcement.

Precogs AI is an AI-native code security platform delivering industry-leading precision, fewer false positives, and faster vulnerability detection.

AI security gateway for Apache APISIX. 100% air-gapped, Open Source core. CPU-capable, GPU-optional. Protect LLMs from prompt injection, PII leaks, and data exfiltration. GDPR, EU AI Act, SOC2, HIPAA compliant. Your data never leaves your VPC.
Clawsec is an open-source security plugin that blocks dangerous actions in under 5ms. One command: openclaw plugins install clawsec

One AI-powered platform that detects, prioritizes, and remediate vulnerabilities and malware end-to-end without the traditional AppSec overhead.

Privacy-first AI assistant that protects sensitive information while preserving context.

LangProtect is an AI security firewall that protects LLM and GenAI applications at runtime. It blocks prompt injection, jailbreaks, and sensitive data leakage while enforcing customizable security policies. Built for enterprise and regulated teams, it delivers real-time protection, visibility, and audit-ready governance.

detect-secrets is an aptly named module for (surprise, surprise) detecting secrets within a code base. However, unlike other similar packages that solely focus on finding secrets, this package is designed with the enterprise client in mind: providing a backwards compatible, systematic means of: Preventing new secrets from entering the code base, Detecting if such preventions are explicitly bypassed, and Providing a checklist of secrets to roll, and migrate off to a more secure storage.

It is a comprehensive tool designed to fortify the security of Large Language Models (LLMs). By offering sanitization, detection of harmful language, prevention of data leakage, and resistance against prompt injection attacks, it ensures that your interactions with LLMs remain safe and secure.

Secrets, authentication tokens, passwords, and keys pose a security risk if they are left unprotected in production workloads. SecretScanner inspects file systems and running containers, identifying over 140 different types of secret data.