Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Veracode CEO Brian Roche: How to Scale a Tech Company in the AI Era | Vlad Kachur Show Exclusive

How do you scale a world-class tech company while staying ahead in application security and AI-driven innovation? In this powerful exclusive interview on The Vlad Kachur Show, Brian Roche, CEO of Veracode, breaks down exactly how he transformed Veracode into one of the globe's leading application security platforms trusted by enterprises worldwide.

2026 State of Software Security: Risky Debt is Rising, But Your Strategy Starts Here

You can’t fix what you ignore. For years, organizations have raced to deploy software faster, often leaving a trail of unresolved vulnerabilities in their wake. We call this trail security debt, or flaws that are left unresolved over a year since being discovered, and it isn’t just a technical metric. It’s a compounding business risk that is growing harder to manage every year. Today, we are releasing the 2026 State of Software Security (SoSS) report.

The Myth of Self-Healing Code: Why Claude Code Security Isn't Replacing Application Security

Anthropic recently launched Claude Code Security, an AI-powered vulnerability scanner that can analyze your codebase, trace data flows across files, find bugs, and even propose patches. It represents a meaningful advance in how developers can get security insights earlier in the development process. But let’s be clear: this is not a replacement for a comprehensive application security program.

From Data to Action: Key Insights About Advancing Security Practices

The cybersecurity landscape is in constant flux, shaped by emerging technologies, evolving threats, and increasing regulatory demands. As organisations strive to protect their digital ecosystems, the challenge isn’t just collecting data—it’s turning that data into actionable strategies that drive meaningful change. Next week, we’ll unveil the 16th edition of Veracode’s flagship State of Software Security (SoSS) report—a cornerstone of the cybersecurity calendar.

Open Source Supply Chain Security: Best Practices

Open-source components are the building blocks of modern software, enabling your team to innovate and deliver features faster. This reliance, however, introduces a significant challenge: your application’s security is now tied to a vast and complex supply chain of code you didn’t write. The risks are escalating, with attackers targeting open-source libraries to launch widespread breaches.

Secure AI Code Generation: From Policy to Practice

IIf you’re using AI to generate code, you’re likely moving faster than ever. You’ve probably felt that surge of productivity when a complex logic problem gets solved in seconds or boilerplate code appears instantly. But here is the problem: speed without guardrails creates security debt, and with AI, that debt accumulates at a terrifying rate. Recent data paints a concerning picture.

Veracode Named a Leader in GigaOm Radar for Software Supply Chain Security

Modern software development is a balancing act. You are under constant pressure to innovate faster, ship features daily, and maintain near-perfect uptime. To meet these demands, development teams rely heavily on open-source libraries, APIs, and third-party components. It’s efficient, but it introduces a significant challenge: your attack surface is now composed of code you didn’t write. Securing this complex web of dependencies—your software supply chain—is no longer optional.

Clawing For Scraps: Risks of OpenClaw AKA ClawdBot

The world of AI is still advancing rapidly, but so are the threats. Wherever you get your news, Clawdbot, or is it Moltbot, or is it now called OpenClaw(?) is everywhere lately. You can’t avoid talk of this AI personal assistant. It’s actually now called OpenClaw after some naming drama, and at the time of writing has 166k followers on GitHub. The repository also has an alarming number of forks, issues, and pull requests.

Managing Software Supply Chain Security for the AI Era

Artificial intelligence has fundamentally changed how we build software. Generative AI tools help developers write code faster, automate mundane tasks, and solve complex logic problems in seconds. But this speed comes with a hidden cost. When you accelerate development without adjusting your security posture, you inadvertently accelerate risk. Relying on AI-generated code and open-source packages in cloud environments can expose your organization to serious, often silent, vulnerabilities.

DevSecOps Tools for Continuous Security Integration

If you’re an engineering manager in 2026, it’s almost certain you’re already exploring DevSecOps tools… by necessity as much as by choice. The reasons are clear: security is no longer a side concern or a tick-box for regulated industries. Even non-regulated businesses now face rigorous customer security questionnaires, growing SOC 2 and supply chain requirements, and persistent threats (especially related to AI-generated code) that make security non-negotiable.