Pi Security Raises $35M to Tackle Cybersecurity's Remediation Problem

Pi Security has emerged from stealth with $35M in funding, led by Brightmind Partners and Third Point Ventures. The company is tackling a growing problem in cybersecurity: as AI accelerates software development, security teams are struggling to remediate vulnerabilities at the same pace they're being created.

Led by Guy Arazi and Yoni Ramon, Pi Security is building an agentic AI security platform focused on remediation rather than detection. The company believes the next major security challenge isn't finding vulnerabilities. It's fixing them before they become recurring problems.

The round also includes backing from George Kurtz of CrowdStrike and Yevgeny Dibrov and Nadir Izrael of Armis, signaling investor conviction around AI-native cybersecurity infrastructure.

What Happened

Pi Security's $35M funding round lands at an interesting moment for cybersecurity. For years, the industry has treated detection as the primary objective. Find the vulnerability. Generate the alert. Open the ticket. Escalate the issue. Repeat until everyone's calendar is full and nobody remembers where the original problem started. Security teams don't suffer from a lack of findings. They suffer from an abundance of them.

That's the backdrop behind the emergence of Pi Security, a San Francisco-based cybersecurity company focused on automating remediation from design through deployment. The company announced $35M in funding led by Brightmind Partners and Third Point Ventures, with participation from George Kurtz of CrowdStrike and Armis founders Yevgeny Dibrov and Nadir Izrael.

Why This Matters

The bet Pi Security is making is surprisingly simple. As AI makes software development faster, the volume of code entering production continues to expand. More code creates more opportunities for vulnerabilities. Traditional security workflows were never designed for that level of velocity.

Most security products are optimized to identify what's broken. Pi Security is focused on helping organizations fix what's broken and prevent the same issues from appearing again.

That thinking comes directly from the company's founders. Co-Founders Guy Arazi, CEO, and Yoni Ramon, CPO, built Pi Security after years spent uncovering vulnerabilities at Microsoft and leading offensive security initiatives at Tesla. Their experience exposed a reality that many security leaders already understand: detection is important, but remediation determines whether security programs actually improve over time.

How Pi Security Approaches the Problem

Pi Security describes its platform as a security brain, creating institutional security memory across codebases, infrastructure, incidents, design decisions, accepted risks, and collaboration systems. Instead of treating vulnerabilities as isolated findings, the platform seeks to understand why they happened, identify similar weaknesses elsewhere, and deliver contextual fixes directly into developer workflows.

That distinction matters because modern software environments have become increasingly difficult to secure manually. AI-assisted development has accelerated release cycles across startups and enterprises alike. Security teams are being asked to evaluate more code, more systems, and more dependencies without a proportional increase in resources.

Early Results and Market Validation

Pi Security's early customer outcomes reflect the value proposition. The company reports up to 70% less manual triage, 85% fewer repeat bounty payouts, and 95% of vulnerabilities blocked before production. Customers have reportedly reduced triage time by up to 80% while recovering weeks of engineering time previously spent revisiting recurring security issues.

These metrics point to a larger challenge inside enterprise security. Finding vulnerabilities has become easier. Managing, prioritizing, and eliminating them across sprawling software environments remains difficult, expensive, and resource intensive.

The Bigger Industry Shift

The larger story isn't just about one funding round. It reflects a broader shift occurring across cybersecurity. Detection is becoming increasingly automated. AI models can already identify classes of vulnerabilities that once required specialized expertise. As that capability becomes more accessible, competitive advantage starts moving elsewhere. The question increasingly becomes: what happens after the vulnerability is discovered?

Investors appear to believe remediation will become one of the most important layers of modern security infrastructure. Pi Security is positioning itself at the center of that transition, focusing less on generating another alert and more on helping organizations close the gap between finding a problem and making sure it stays fixed.

As AI continues accelerating software development across enterprises, the pressure on security teams will only increase. Companies that can reduce remediation time, eliminate recurring vulnerabilities, and embed security directly into development workflows may become increasingly important pieces of the modern software stack.