Fixing vulnerabilities at the source

AI is helping developers ship more code than ever, and attackers are keeping pace. For the first time, software flaws have overtaken stolen credentials as the top entry point for breaches, accounting for 31% of breaches. Remediation is also getting slower: the median time to fix a vulnerability is now 43 days, a 44% increase from last year. Traditional AppSec tools often make the problem worse. Developers spend more than half of their testing time chasing false positives.

Fixing Vulnerabilities at the Source helps security and engineering leaders catch real, exploitable vulnerabilities before they reach production. It covers:

• Why AI-assisted development and inherited open-source flaws are expanding the attack surface and adding to security debt
• Where traditional tools like SAST fall short, and how alert fatigue undermines shift-left testing
• How fuzz testing uncovers the novel “unknown unknowns” that pattern-matching tools miss
• How SAST, DAST, and fuzz testing compare, and how fuzzing supports regulatory requirements like DORA, ED-203A, and FDA cybersecurity guidance
• How Bugcrowd Savant Forge, Savant Probe, and Savant Runtime deliver proof of exploitability so teams can go straight to remediation