Veracode

We tested 150+ AI models writing code. Only 55% of what they generated was secure. The other 45% contained known vulns, and that number hasn’t really improved in 2 years. AI coding tools are accelerating development & security debt at the same time. veracode.com/blog/ai-coding…

The scariest thing about AI in software development isn’t AI replacing developers. It’s software being created faster than trust can keep up. More code. More dependencies. Less human review. Our CEO Brian Roche on why software trust is the next frontier: veracode.com/blog/ai-inflec…

Security budgets are up. Breaches are too. 81% of organizations were breached last year, according to the 2026 Cyberthreat Defense Report. You can’t fight AI-speed threats with human-speed remediation. How leading teams are closing the AppSec gap: veracode.com/blog/why-are-o…

The question used to be “Did we scan it?” That’s no longer enough. Security leaders now need proof their software can be trusted. Continuous, portfolio-wide, supply chain aware, and evidence-driven. What best-in-class looks like in 2026: veracode.com/blog/applicati…

The “vulnpocalypse” is coming. AI-driven testing will expose years of hidden security debt fast, and discovery will outpace remediation. Are you ready to handle the surge? Here’s what to expect and how to prepare: veracode.com/resources/vuln…

The 1990s hacking community helped shape modern security thinking. This podcast from @riskydotbiz revisits that era with Veracode's @WeldPond, from open collaboration to early infosec norms that still influence application risk management today. risky.biz/HTWGO2-stories/

Spending big on supply chain security tools? Most get this wrong: ❌ Detection > prevention ❌ Severity > exploitability ❌ Disconnected tools ❌ No AI for remediation 66% of critical debt in 3rd-party code. Choose tools that cut risk without slowing devs veracode.com/blog/security-…

AI is accelerating software risk faster than frameworks can keep up. Checking the box ≠ being secure. The new standard? ➡️ Prioritize risk ➡️ Fix what matters most ➡️ Provide continuous visibility Great perspective from @WeldPond in @Forbes: forbes.com/councils/forbe… #AppSec

Dev teams are creating flaws faster than they fix them. The remediation gap is widening & critical security debt is rising. Get the data in our 2026 State of Software Security Report: veracode.com/resources/anal…

“Did we scan it?” isn’t enough anymore. AI is accelerating code and shrinking exploit windows. The question now: can you prove what risk matters and trust what you ship? More: veracode.com/blog/securing-…

Stop treating compliance as a final hurdle. Late-stage security checks create risk & slow you down. A Compliance-First AppSec Posture addresses security debt by enforcing policy as code & automating your audit trail. Read the Solution Brief here: bit.ly/4epLfTV...

50K findings. 5K “critical.” 127 devs. 1 security team. It doesn’t add up. The teams making progress changed the questions: Is it exploitable here? Is it exposed? Does it hit critical systems? Filter that down and the list gets small fast. More: veracode.com/blog/best-appl…

The "Vulnpocalypse" is here. #AI is surfacing flaws in critical open-source libraries at scale faster than teams can fix them. The real challenge now? Keeping up. Chris Wysopal explains 👇 🎥

Security shouldn’t slow you down. Veracode’s GitLab Workflow Integration embeds SAST, SCA, and IaC scanning into your CI/CD on every commit. Works across GitLab environments with instant MR feedback and scalable policies. Learn more: veracode.com/blog/gitlab-se…

“A crew is inescapably, beautifully, dutifully linked.” Christina Koch’s words set the tone for our FY27 kickoff. We celebrated wins, recognized our people, and built real momentum for what’s next. Focused, fired up, and ready for the AI era. Big year ahead. 🚀

The cost of non-compliance is rising. A single data breach averages $4.88M. It's time to move from reactive fixes to a proactive, compliance-first AppSec strategy. Our latest whitepaper shows how a unified platform can help you achieve a 92% faster MTTR. veracode.com/resources/whit…

AI coding assistants hit 95%+ syntax accuracy but only ~55% security pass rates. Nearly half of AI-generated code has known flaws. Bigger models won’t fix it. AppSec leaders need governance + tooling. Learn how to secure AI-generated code across the SDLC veracode.com/blog/securing-…

Activity-based security metrics can create a false sense of progress. In @TechRadarPro, Veracode’s Sohail Iqbal highlights how scan volume and vuln counts miss real exposure. It's time to measure what actually reduces risk. techradar.com/pro/why-tradit…

Anthropic’s Mythos signals a shift: AI is accelerating software creation and exploitation faster than security can keep up. “Did we scan it?” isn’t enough. The question now is simple: can you trust your software? More from Veracode CEO Brian Roche: veracode.com/blog/anthropic…

AI is accelerating cybersecurity faster than most orgs can handle. Anthropic’s Project Glasswing shows how AI can uncover vulnerabilities at scale, while remediation still lags. As Veracode’s Julian Totzek-Hallhuber notes here, the pace is the real shift. securitybrief.co.uk/story/anthropi…