DryRun Security adds Andrew Peterson to drive AI shift

DryRun Security has appointed Andrew Peterson to its Board of Directors, adding an executive and investor known for building and backing application and AI security firms.

Peterson co-founded Signal Sciences, a web application and API security company acquired by Fastly in 2020. He later founded Aviso Ventures, an early-stage fund focused on enterprise and infrastructure software. Its portfolio has included Protect AI, acquired by Palo Alto Networks in 2024, and SGNL.ai, acquired by CrowdStrike earlier this year.

The appointment comes as software teams increase their use of AI tools to write and review code. Security vendors are adjusting products and messaging around what they describe as AI-generated or agent-driven development. DryRun has aligned itself with that shift, describing its product as "AI-native code security intelligence."

Board addition

Peterson said the timing reflects changes in how software is built.

"I'm excited to join DryRun Security's Board at a moment when the fundamentals of software development are changing," Peterson said.

He added: "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."

James Wickett, Co-founder and Chief Executive, said Peterson's experience will matter as the company expands.

"On behalf of the entire DryRun Security team, I'm honored to welcome Andrew Peterson to our Board," Wickett said.

He added: "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."

Product focus

DryRun describes its core product as "agentic code security intelligence," powered by a proprietary "Contextual Security Analysis" engine. It says the product aims to reduce false positives and manual triage during software security reviews.

Security teams are increasingly concerned about visibility into how code is created and modified when developers use AI assistants and automated agents. DryRun says it addresses "shadow AI coding" with policy-driven visibility into agentic code changes and their sources.

DryRun reports that customers run more than 250,000 code reviews per month across enterprise and mid-market accounts. It did not disclose revenue, customer names, funding, or broader board composition.

Market context

Application security has long relied on static analysis, dependency scanning, and manual review. AI coding assistants have increased the volume and speed of code changes, and heightened the need for governance over code origin and how changes reach production systems.

Security teams have also raised questions about accountability when an AI system suggests code that later proves vulnerable. As a result, many organisations are looking for tools that prioritise issues, connect findings to business context, and fit into existing developer workflows.

Board appointments like Peterson's often signal a company's next phase, particularly when the individual has experience scaling security firms from product development to broader commercial adoption. Peterson's track record includes building an application security business and investing in companies that later attracted major security platforms.

Peterson will advise DryRun as it develops its approach to code security for what it describes as an "agentic" era of software development.