Most organizations are in a race to automate security workflows with AI, but many hit a wall when the data fueling those systems is patchy or outdated.
Bugcrowd is addressing this head-on with two new capabilities –
AI Connect and
Asset View – meant to bring clarity and speed to vulnerability response by tying together real-time human-generated findings and asset-level context in one platform.
AI Connect: Closing the Data Gap in AI-Driven Security
Security teams are increasingly turning to AI to help triage findings, recommend remediations, and reduce response times. But even the best models are only as good as the data they’re trained on. Bugcrowd’s AI Connect offers a way around this limitation by acting as a secure, read-only integration point between a customer’s internal AI stack and real-time vulnerability data from the Bugcrowd platform.
“Security is our top priority,”
Justin Kestelyn, Head of Product Marketing at Bugcrowd told MSSP Alert. “AI Connect provides secure, read-only access to vulnerability data. Applications utilizing it conform to the existing security policies of the organization, for example, an authenticated user will have the same access to data and programs as any other auth user would have from within the platform.”
Built on the open-source Model Context Protocol (MCP), AI Connect is designed to support interoperability across tools without vendor lock-in. “MCP is rapidly becoming the industry standard for data integration across AI applications and data sources,” Kestelyn added. “It’s developing into a universal data bus for the AI ecosystem. Because all the players in that ecosystem have a vested interest in making AI application development as easy and common as possible, it’s reasonable to expect MCP to provide the crucial interoperability that standards like HTTP, TCP/IP, REST, and JSON have delivered in the past.”
From within their AI tools, users can explore and act on findings without needing to manually export or transform anything. Role-based permissions remain intact, so data access is tightly controlled. More importantly, AI recommendations are now grounded in actual security context – not guesswork. By plugging into live findings from bug bounties, pen tests, and red teaming, AI Connect enables tailored remediation advice and automatable workflows that reduce friction between security and engineering teams.
Asset View: Turning Inventory Into Action
Keeping track of digital assets is a basic prerequisite for good security, but it’s rarely simple in practice. Most organizations are dealing with outdated inventories, scattered across systems, and lack the context to prioritize what to test or fix first. Asset View aims to clean that up.
Natively integrated into the Bugcrowd platform, Asset View pulls in assets through External Attack Surface Management (EASM) scans or manual uploads, and layers on metadata like exposure, criticality, and risk score. These assets then become directly scannable, testable, and scorable—within the same workflow security teams are already using for offensive testing.
“Asset View will have a major impact on how customers scope, launch, and adapt pentest or red team engagements by unifying asset discovery, management, and offensive testing in a single workflow,” said Kestelyn.
“There are several real-world benefits to this: For Security Analysts, it delivers a current, accurate inventory from within the Bugcrowd Platform to drive more productive testing and triage, including the testing of assets that were previously invisible or unknown. For Program Owners or Offensive Security Leads, scoping and coordinating engagements can now be done without separate logins, instances, or reports; EASM and offensive testing are both managed inside the platform. And for CISOs it opens up a high-level view of the complete external attack surface, creating asset accountability and control that didn’t exist before.”
Instead of dealing with static lists or toggling between tools, teams can scope engagements in just a few clicks, focus testing on the riskiest targets, and use findings to inform both security posture and business risk. The goal is to bring visibility and offensive security under one roof, so teams can move faster without sacrificing clarity or context.
AI Connect and Asset View were built to eliminate the friction that slows security teams down. They tighten the feedback loop between detection and response, connect insights from attackers to internal automation, and turn sprawling asset inventories into actionable, testable surfaces. For teams trying to modernize their security programs with real-world risk in mind, these tools are designed to get out of the way and let the work happen.
