In an effort to help defenders stay ahead of AI-powered cyberattacks, Bugcrowd has taken the wraps off next-generation AI functionality—the Bugcrowd AI Triage Assistant and Bugcrowd AI Analytics—that it says will move vulnerability analysis from a manual process that takes into something that offers more intelligent, conversational insights in just seconds.
The move to a more pre-emptive security model is intended to help security teams take a proactive stance against the realities of the attack surface, which is expanding, and which sees bad actors leveraging AI tools at a rapid pace.
Bugcrowd’s approach eliminates reliance on unsanctioned LLMs from third parties and allows defenders to accelerate triage as well as uncover hidden trends so they can make more strategic decisions before the threats materialize—thereby strengthening resilience.
“With the rapid pace of sophisticated AI-driven attacks, our goal is to help customers make faster, better decisions affecting their security strategy, including ones that set the foundation for preemptive security. AI Triage Assistant and AI Analytics are central to that mission,” said Braden Russell, CPO, Bugcrowd.
Speed is especially important as attackers have reduced the time between vulnerability disclosure and exploit to less than a day.
“One of the most pressing challenges for security teams is the rapidly shrinking Time to Exploit (TTE) window—the interval between public vulnerability disclosure and the first known exploit,” says Justin Kestelyn, vice president of community and product marketing.
Only a few years ago, the average TTE was roughly 63 days. Today, that window has collapsed to just a few days, and likely approaching hours, driven in part by AI-accelerated attack methods,” he says. “With so little time to react, defenders must be able to rapidly ingest, interpret, and act on external signals, and increasingly, to use that data preemptively.”
Kestelyn says, “genAI-powered reporting and analysis tools are well-suited to this need because they can dramatically reduce Mean Time to Remediate (MTTR), giving security teams access to business-critical context that will help developers remediate flaws in the right order of priority.”
Russell was quick to point out that the Bugcrowd AI Triage Assistant and Bugcrowd AI Analytics is “not about replacing human intuition, but augmenting it with powerful AI insights. Using that approach to help security teams see the bigger picture within each submission, as well as the hidden trends affecting the whole organization, we’re enabling them to make smarter, faster decisions that fundamentally improve their organization’s security posture.”
Bugcrowd says the new approach offers:
“The Bugcrowd AI Triage Assistant is a secure, conversational agent that delivers instant, contextual insights about specific vulnerabilities and their potential impact on the organization,” says Kestelyn. “Bugcrowd AI Analytics complements it with organization-wide intelligence via dynamic dashboards equipped with an “Ask AI” experience that enables rapid, agile data exploration.”
Taken together, those built-in capabilities of the Bugcrowd Platform will “remove hours or even days of analysis time from vulnerability-management workflows, enabling security teams to keep pace with fast-moving threats—and increasingly, to take proactive, even preemptive action,” he says.
Bugcrowd has also made its AI Connect generally available. The company released a beta version of AI Connect in August. It lets organizations securely integrate their internal AI stacks with real-time vulnerability data from the Bugcrowd Platform via Model Context Protocol (MCP),” the company said. That kind of secure, on-demand access to Bugcrowd-managed vulnerability data from internal applications means that defenders can have access to hyper-contextualized remediation and automation.
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