Terra Security has developed an AI-driven platform for continuous penetration testing that uses dozens of adaptive AI agents to identify vulnerabilities and strengthen cybersecurity defenses.

This platform enables thousands of automated, high-speed, and tailored tests that improve detection and prevention of security breaches, employing an ethical hacker-style methodology.

Founded in 2024 in Tel Aviv, Terra employs a swarm of AI agents that automatically adjust their testing strategies in real time, providing scalable, context-aware security assessments.

Terra Security recently raised $30 million in a Series A funding round led by Felicis Ventures, with participation from Dell Technologies Capital, SVCI, and existing investors, bringing total funding to $38 million.

The new funds will be used to enhance AI agent capabilities, expand offensive security with AI-based red teaming, grow R&D in Israel, scale U.S. sales, and increase customer adoption.

The company plans to hire new talent and expand its customer base, which already includes Fortune 100 clients, leveraging its innovative AI-powered approach to cybersecurity.

Founded by CEO Shahar Peled and CTO Gal Malachi, Terra Security has a team of 25 people across Israel and the U.S., focusing on providing advanced cybersecurity solutions.

Terra Security's Series A funding, announced in 2025, highlights rising investor interest in AI-enhanced cybersecurity solutions amid increasing cyber threats.

The company's platform employs a swarm of AI agents that run thousands of organization-specific vulnerability tests, offering a faster, more comprehensive alternative to manual penetration testing.

Adding industry expertise, former Google CISO Gerhard Eschelback has joined Terra's board of directors, strengthening its strategic guidance.

Terra previously raised $8 million in seed funding in April 2024, and since then, it has rapidly grown its funding and client base, serving large enterprises and Fortune 500 companies.

Traditional manual penetration testing methods are slow, costly, and limited in scope, which makes AI-driven continuous testing a crucial innovation for modern cybersecurity.