Corridor Security

Embeds real-time security controls directly into the AI code-generation workflow itself, aiming to prevent vulnerabilities at the point of creation rather than catching them in post-hoc scanning -- a genuinely novel response to the specific risks introduced by AI-generated code at scale.

Extremely early-stage (recently emerged with a Series A); public information on named production customers was not identified in sources reviewed, so operational evidence is limited despite a strong founding team.

$25M Series A at a $200M valuation (total raised $30.4M) led by Felicis, with participation from Conviction, Lux Capital, Datadog, and angel investors from Anthropic, OpenAI, Cursor and Cognition -- an unusually strong and security/AI-industry-endorsed cap table for such an early company.

Directly targets the emerging AppSec problem created by AI-generated code shipping faster than traditional security review can keep pace -- if successful, could meaningfully reshape how AppSec is practiced in AI-native engineering organizations.

As a very early-stage company, independent efficacy validation (audits, published customer outcomes) has not yet had time to accumulate; current evidence rests on founder pedigree and investor quality.

Securing AI-generated code at the point of creation is likely to become an increasingly durable AppSec requirement as AI coding tools become standard in software engineering, though the specific tooling landscape for this problem is still very new and fast-changing.