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Pi

A credibly backed early-stage AppSec automation vendor with strong security-industry angel validation, addressing the real challenge of scaling security to match AI-driven development speed.

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43/100Emerging / Unranked

Innovation Matrix Assessment

Innovation Velocity 5/10

Built an agentic AppSec platform covering design-to-deployment protection within about a year of 2025 founding.

Operational Value 3/10

Very early stage with a two-office team; operational deployment scale is not independently disclosed.

Market Momentum 5/10

Raised roughly $35M in total funding by June 2026, including a new round led by Brightmind Partners and Third Point Ventures with notable security-industry angels.

Category Disruption 4/10

Agentic, design-to-deployment application security automation is a differentiated but increasingly common approach among AI-era AppSec entrants.

Real-World Efficacy 3/10

Too early for independent efficacy data; notable angel backing (Kurtz, Dibrov, Izrael) is a credibility signal, not efficacy evidence.

Enduring Relevance 6/10

Matching application security speed to AI-accelerated code generation is an urgent, durable need across engineering organizations.

Why CISOs Should Care

Pi gives CISOs and AppSec teams an agentic AI security platform that automates software protection from design through deployment, helping teams keep application security scaling at the same pace as AI-accelerated code output.

What Makes It Different

Pi is backed and advised by prominent security operators (CrowdStrike CEO George Kurtz, Armis founders Yevgeny Dibrov and Nadir Izrael) and is built by former Microsoft and offensive-security researchers, spanning offices in San Francisco and Tel Aviv.

The Matrix Verdict

43/100 — EMERGING / UNRANKED

A credibly backed early-stage AppSec automation vendor with strong security-industry angel validation, addressing the real challenge of scaling security to match AI-driven development speed.

Editorial Note: Claims vs. Verified Findings

No independently verified customer count or detection-accuracy figures were found in available sources.

Sources