Corma, a Tel Aviv-based company, has secured $60 million in a seed funding round to develop artificial intelligence for defensive cybersecurity. The round was led by Sequoia Capital, with participation from Khosla Ventures and Coatue. The company already collaborates with organizations from the Fortune 100 and Fortune 500 lists, serving the healthcare, financial services, energy, critical infrastructure, and retail sectors.
The funds will be used to expand its multidisciplinary team. The investment will be allocated across pre-training, post-training, and cybersecurity research. Furthermore, Corma plans to scale its AI-driven defensive workforce for enterprise clients.
Founded in 2025, Corma focuses on creating a foundational model specifically designed for defensive cybersecurity. Its platform activates autonomous AI agents that analyze security data, correlate signals, and respond to complex attack campaigns.
Corma's funding comes as artificial intelligence transforms both cyberattacks and security operations. General-purpose models have become increasingly capable of coding, reasoning, and executing complex multi-step tasks.
Defensive cybersecurity presents a different challenge. Security teams must process massive volumes of logs, network activity, and alerts. They also need to connect weak signals over long periods while maintaining accuracy when making thousands of decisions.
Corma notes that its research highlights this imbalance. In corporate environment simulations, AI attackers succeeded 88% of the time, whereas the same models detected only 12% of the threats they had previously created.
These capabilities can also be leveraged for offensive cybersecurity measures. Attackers can use AI to identify vulnerabilities, develop exploits, and coordinate sophisticated attacks.
The race for general intelligence in cybersecurity has begun, and attackers hold a significant advantage.
Corma is developing foundational models capable of powering specialized agents across various defensive security functions. The company asserts that these agents can operate across different security tasks while continuously learning the environment.
Early deployments have demonstrated substantial operational improvements. Corma reports that its AI workforce reduced threat response time by over 94% and increased security coverage 15 times across various functions.
The company's approach combines AI researchers and cybersecurity specialists. The team includes researchers with experience from Google and DeepMind, as well as experts from Israel's Unit 8200 and major cybersecurity firms.
Sean Magir, a partner at Sequoia Capital, stated that Corma has trained its model to account for the complexity of real-world attacks. He added that the company's technology provides the necessary level of intelligence for modern cyber defense.
The new funding will support further research and Corma's expansion into enterprise cybersecurity. The funds will be used to build an AI-based defensive unit—a team capable of interacting with existing security functions.
The investment reflects growing concern over the speed of AI-accelerated attacks. Businesses in vital services face increasing pressure to intercept and neutralize threats before they cause damage to operations.
Vinod Khosla, founder of Khosla Ventures, notes that critical services, including healthcare and critical infrastructure, are vulnerable to automated cyberattacks. Autonomous attacks can affect sectors such as healthcare and critical infrastructure.
The company believes that AI will play a decisive role in bridging this offensive/defensive gap. It will provide security personnel with faster analysis, expanded coverage, continuous operational support, and improved threat detection capabilities.
With further AI enterprise expansion, Corma envisions a cybersecurity built on defensive AI. The company is using the new funding to further develop and implement the technology in high-value sectors.
