Cybersecurity startup Raven raises $20M for runtime application security platform
Cybersecurity startup Raven raises $20M for runtime application security platform
Publish Date: 2026-03-18 18:37:00
Source Domain: siliconangle.com
Cybersecurity startup Raven Cloud Inc. announced today that it had raised $20 million in new funding to accelerate product development, expand its go-to-market activities in the U.S. and grow its engineering and research teams.
Founded in 2023, Raven (also referred to as RAVEN.IO) develops and offers application security technology that is designed to address limitations in traditional vulnerability-based models as artificial intelligence accelerates exploit development.
The company’s technology analyzes application behavior at runtime and observes how code executes within live environments, where application-layer attacks and supply chain exploits often occur before signatures or patches are available.
The platform monitors internal execution paths within a running application and breaks them down into structured execution chains. The chains are then used to generate behavioral fingerprints that represent expected application behavior under normal conditions.
By continuously comparing live execution activity against fingerprints, the system can identify deviations that may indicate malicious activity. The process does not require code instrumentation nor introduces significant performance overhead to allow the system to function directly within production environments.
“In an era where AI tools can identify and exploit vulnerabilities at unprecedented scale and speed, organizations can no longer rely solely on signatures or on CVEs published after the fact,” explains Roi Abitboul, co-founder and chief executive officer of Raven. “We founded RAVEN.IO to enable organizations to precisely prevent attacks and to truly understand, in real time, what is happening inside their applications, without compromising performance or business continuity.”
Key capabilities of Raven’s platform include real-time detection and prevention of both known and previously unknown attacks based on behavioral anomalies rather than predefined signatures.
Raven’s…
