Modern attack surfaces demand more than asset discovery, they require classification. This white paper explores how outside-in, hacker-led reconnaissance techniques, from JARM fingerprinting to HTML analysis, can close DAST coverage gaps. Read the white paper to learn how intelligent classification drives smarter security testing.
Modern attack surfaces expand daily across multi-cloud environments, serverless functions, and third-party dependencies, leaving AppSec teams guessing which assets need deep security testing. Traditional DAST tools often miss large portions of the attack surface or waste resources on low-risk endpoints, creating a gap that undermines vulnerability management.
This white paper shows how adopting an attacker’s perspective, using techniques like DNS analysis and TLS fingerprinting, transforms asset discovery into actionable intelligence. Learn how automated classification prioritizes high-risk assets and improves testing efficiency and coverage.
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