Today, Bugcrowd announced a game-changing new capability: Bugcrowd AI Connect. This innovative extension of the Bugcrowd Platform is set to transform how security teams get value from AI. By providing secure, on-demand access to Bugcrowd-managed vulnerability data from internal applications, Bugcrowd AI Connect enables hyper-contextualized remediation and automation.
Security teams are increasingly turning to AI-driven tools to automate workflows and scale their operations. However, a significant hurdle remains: these powerful AI tools are often disconnected from critical, real-time security data, such as vulnerability submissions from bug bounty programs, penetration testing, and red team engagements. This disconnect forces security teams to manually cross-reference reports with internal codebases and documentation. Not only is this process time-consuming, but it also leads to slower response times and less effective fixes.
AI Connect provides a secure, read-only “front door” into your vulnerability data. Built on the open-source Model Context Protocol (MCP), this capability offers a standardized, developer-friendly way for LLM applications and workflows to query submission data in real time—no need to export, transform, or reload data.
Imagine giving your internal AI agent, like a custom Slack bot, the ability to programmatically make requests, such as “Are there any new P1s?” or “Give me the details for submission XYZ.” Better yet, imagine that the agent can accomplish this without you having to write code for such requests in advance. AI Connect allows your tools to pull in that rich, real-time context from your Bugcrowd engagements and combine it with your own private data sources, such as a GitHub repository or internal policy wiki. The result? Highly accurate, context-aware, and actionable remediation advice, delivered automatically.
MCP serves as an intermediary, standardizing how generative AI applications access the data they need. It streamlines communication, simplifying and accelerating the development of accurate, robust AI systems.
The need for MCP stems from the inherent challenge businesses face in managing vast, dispersed datasets. Specifically, they struggle to integrate data siloed across various systems. MCP directly addresses this problem by enabling a customer’s AI to dynamically discover what tools and data are available at any given moment. This means that as we provide additional tools or update resources over time, your LLMs can immediately understand and use these new capabilities without requiring complex, hard-coded integration updates. This targeted, and continually evolving, data delivery significantly reduces the likelihood of hallucinations and other potential errors, leading to more reliable and trustworthy AI output.
MCP is an open standard widely adopted across the LLM ecosystem. This means AI Connect enables preexisting applications and tools, such as AI-native developer environments, to be easily integrated with Bugcrowd.
Key benefits of AI Connect include the following:
With the introduction of Bugcrowd AI Connect, we’ve reached a new milestone on a roadmap designed to enable hyper-contextualized AI models, whether provided by us or built by customers themselves, that deliver more value than generic, off-the-shelf models.
Talk to our technical team at Black Hat USA 2025 (booth #4818) for a walkthrough, and sign up for our upcoming Early Access Program (EAP)!