How ProductBoard Reduced Alert Noise By 99.9% and Consolidated Security Tooling Using AISLE
ProductBoard, a leading SaaS product management platform, faced a critical challenge: their small security team of four people was drowning in 30,000 security alerts from various monitoring systems and struggling to identify which vulnerabilities truly mattered. After implementing AISLE, ProductBoard achieved remarkable results:
Key Results
99.9% reduction in alert noise — from 30,000 alerts down to 6 actionable items for developers
Replaced legacy security tools for a simpler, consolidated security stack
Improved security team efficiency by automating triage and enabling focus on strategic initiatives
Enhanced developer trust through accurate, context-aware vulnerability detection with minimal false positives
ProductBoard is a product management platform that helps organizations understand customer needs and prioritize features. The security team of just four people was drowning under 30,000 alerts coming in from their monitoring systems.
To find, prioritize, and remediate vulnerabilities more effectively, ProductBoard used AISLE, the sovereign AI VulnOps platform. Now the security team gets six actionable, high-priority alerts that reflect genuine business risk every day.
"Using AISLE helps us find and focus on the issues that truly matter to our business, without overburdening our team." — David Doležal, Director of Security at ProductBoard
Regaining Developer Trust With Accurate Triage Using AISLE
ProductBoard's product management platform is trusted by teams at Zoom, Salesforce, and The Coca-Cola Company, and the organization has to keep innovating to maintain customer trust. Yet with tens of thousands of alerts coming in, the ProductBoard security team was challenged to identify the most pressing issues for developers to focus on. After evaluating a number of legacy AppSec tools, they chose AISLE because it delivered the most trustworthy findings.
ProductBoard initially used AISLE to analyze and automatically generate context for 10 of its 56 repositories. The team then verified that AISLE's findings were indeed context-aware, prioritizing issues in light of guardrails and functionality to surface exploitable vulnerabilities. Then, ProductBoard rolled out AISLE across all 56 repositories. Now both security professionals and developers can move faster by focusing on what really matters.
"AISLE's findings often trigger discussions about code quality and implementation that help us improve performance." — Mario Kamburov, Security Operations Manager at ProductBoard
Reducing Alert Noise By 99.9% While Hardening Defenses
Before AISLE, ProductBoard was using legacy point solutions, which burdened the company with both operational complexity and cost. The company also ran HackerOne bug bounties to identify high-impact vulnerabilities. Yet as issues moved from analysis to prioritization to remediation, key context was often lost.
By unifying vulnerability operations in a single platform, ProductBoard's security team has a simpler, faster workflow that keeps business context whole. The company integrated AISLE's advanced AI-native capabilities into its existing workflow, including Jira ticket creation, Slack notifications, and AI-powered pull requests. It also replaced legacy AppSec scanners, reducing spending and eliminating context switching. In total, alert noise has plummeted by over 99.9 percent, and AISLE's context-aware patch recommendations are saving engineers time and effort on remediation.
Focusing on Business Impact With AISLE
By reducing noise by more than 99.9 percent, enabling tool consolidation, and providing context-aware vulnerability detection, AISLE is helping ProductBoard protect their platform while freeing both security engineers and developers to focus on strategic initiatives. "Using AISLE, we're moving faster and no longer dealing with alert fatigue," says Doležal.
