DryRun Security today announced the appointment of Andrew Peterson as a new member of its Board of Directors, effective immediately. Peterson, a renowned entrepreneur, technologist, and investor, joins at a pivotal moment as DryRun accelerates its mission to redefine code security for software built by both humans and autonomous AI agents.
Peterson’s track record aligns closely with DryRun’s vision of moving beyond legacy AppSec models to intelligent, contextual security that adapts to AI-accelerated development velocity.
“I’m excited to join DryRun Security’s Board at a moment when the fundamentals of software development are changing,” said Andrew Peterson. “As AI agents take on more responsibility in writing and reviewing code, security must evolve into something more intelligent, contextual, and adaptive. DryRun is building exactly that: an AI-native approach to code security that’s purpose-built for the future of software.”
“On behalf of the entire DryRun Security team, I’m honored to welcome Andrew Peterson to our Board,” said James Wickett, co-founder and CEO, DryRun Security. “Andrew is a rare combination of technologist, product builder, and company scaler. As DryRun continues to challenge legacy AppSec models and define what AI-native code security intelligence should look like, his experience will help ensure we scale with focus and real customer impact.”
Since emerging from stealth, DryRun has gained rapid traction through breakthrough innovation, original research, and strong enterprise adoption. Its Contextual Security Analysis engine helps teams defend against shadow AI while enforcing standards in high-velocity, agent-assisted development environments.
About DryRun Security
DryRun Security is the industry’s first AI-native, agentic code security intelligence solution. Powered by its proprietary Contextual Security Analysis engine, DryRun Security helps security and developer teams reduce noise, surface real risk, and secure modern software built by both humans and autonomous agents. DryRun Security saves organizations thousands of hours otherwise spent on false positives, manual triage, and reactive reviews, while enabling security to scale with the speed and complexity of AI-driven development.
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