ByteHide AI

ByteHide integrates artificial intelligence across its security platform to help developers find, understand, and fix vulnerabilities faster. From AI-powered explanations to direct integration with your AI coding agent.

Protect Your AI Applications

ByteHide also secures the AI you build and the AI agents your developers use. Both products are in limited access, available to select customers.

AI Runtime

Inspect the traffic between your applications, the language models they call and the MCP tools their agents use. AI Runtime blocks prompt injection and jailbreaks, masks PII and secrets, governs tool calls, and records the verdict of every request. Connect it as a gateway in front of your LLM provider or MCP server, or in-app through the ByteHide App runtime SDK.

Learn more about AI Runtime

Agentic Runtime

Govern the AI coding agents running on your developers' machines: which MCP servers, skills, tools and models they may use, with policies per organization, team, user, device and repository.

Learn more about Agentic Runtime

AI-Powered Features

ByteHide uses AI throughout its products to make security accessible and actionable for every developer.

ByteHide MCP Server

Connect ByteHide directly to your AI coding agent (Claude, Cursor, VS Code) through the Model Context Protocol. Your AI assistant becomes a security-aware coding partner that can scan code, audit dependencies, and detect secrets — all in real time as part of your conversation.

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Currently available for: Code (SAST, SCA, Secrets Detection)

AI Explanation

Every vulnerability finding in Code includes an AI-generated explanation tailored to your specific code. Instead of generic descriptions, you get a contextual analysis that explains why the code is vulnerable and what the real-world impact could be.

Available in: Code

AutoFix

Code can generate AI-powered fix suggestions for detected vulnerabilities. AutoFix analyzes the vulnerability in context, proposes a safe code change, and lets you apply it directly from the dashboard or as a pull request.

Available in: Code

Runtime Correlation

ByteHide AI correlates static analysis findings from Code with runtime data from App runtime, helping you prioritize vulnerabilities that are actually reachable and exploitable in production.

Available in: Code + App runtime

Learn more about Runtime Correlation

AI-Assisted Security During Development

When you use ByteHide MCP with an AI coding agent, security becomes part of the development conversation — not a separate step. As the AI generates or modifies code, the MCP tools are available to review it in real time: scanning for vulnerabilities, checking dependencies before installing them, and auditing configurations for risks.

Your AI assistant acts as a security-aware pair programmer that catches issues while you write code, not after you ship it.

Available in: All MCP-compatible AI agents (Claude, Cursor, VS Code)

Getting Started