PlexTrac · AI-Powered Exposure Assessment Platform
PlexTrac is an Exposure Assessment Platform that helps security teams centralize findings, prioritize remediation, and track measurable progress over time. By unifying pentest findings, scanner data, and remediation workflows in a single platform, PlexTrac helps organizations move from fragmented security data to operationalized risk reduction.
PlexTrac is an AI-powered exposure assessment platform purpose-built for the full Continuous Threat Exposure Management lifecycle. Unlike point solutions that address individual stages in isolation, PlexTrac consolidates the entire CTEM workflow inside one operational environment, treating offensive security data as a core input from the start rather than an exception to be handled separately.
Platform capabilities include:
PlexTrac is recognized in the 2025 Gartner Magic Quadrant for Exposure Assessment Platforms and named a G2 Leader in Risk-Based Vulnerability Management, with awards for Best Support and Easiest to Do Business With.
Most exposure assessment platforms were built around scanner data. PlexTrac started from a different premise, which is how to operationalize the full CTEM lifecycle, including validation, when validation requires real adversarial testing data rather than automated output alone.
That origin shapes what the platform can do. PlexTrac was originally built to solve the pentest reporting problem, so manual security testing has always been a core data source rather than an afterthought. Findings from penetration tests, red team exercises, adversary emulation engagements, and other offensive assessments flow into the same environment as scanner data. The platform deduplicates results across all sources, applies contextual risk scoring, and routes findings into automated remediation workflows. Validation evidence sits alongside vulnerability data from the start, so security operations teams do not have to reconcile separate reports by hand.
That architecture supports what most platforms cannot deliver, which is a continuous testing cadence that genuinely integrates offensive and defensive data. Organizations that try to build this themselves typically stitch together a vulnerability scanner, a pentest delivery method, a risk platform, a ticketing connector, and a reporting layer, then manage the gaps between them. PlexTrac handles that full cycle natively.
Plex AI reinforces this differentiation. Built on PlexTrac's own proprietary model trained on open-source cybersecurity data including CVE records and penetration testing datasets, Plex AI auto-generates findings and narratives from a content library of more than 25,000 pre-built writeups. Customer data is never used to train the model. Teams have reported as much as 75 percent reduction in pentest reporting time and an average five times return on investment.
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