Corma, an AI security startup, is focused on addressing the disparity between offensive and defensive cybersecurity capabilities. CEO Alon Pluda shared insights on their approach during an interview with The Register.
Real-Time Defense in Action
Pluda recounted a notable incident involving a security executive who received a notification from a Corma agent while walking his dog. The alert indicated a live attack, prompting the executive to authorize the agent to block the threat. Within ten minutes, the agent successfully mitigated the intrusion, preventing the malware from spreading across the company’s network. The executive later described this experience as one of the most remarkable moments of his year.
Closing the Defensive Gap
Corma was founded about a year ago, with the aim of closing what Pluda terms the “defensive gap”—the disparity where models excel in offensive security but lag in defensive tasks. The company recently secured $60 million in seed funding, led by Sequoia Capital, to further develop its AI-driven solutions.
AI Models in Testing
In their research, Corma tested four advanced AI models—Claude Opus 4.8, GPT-5.5, Grok 4.3, and DeepSeek V4—against each other in simulated attack and defense scenarios. The results showed that while the models successfully implanted a persistent backdoor in 85% of their attempts, they only detected 19% of the attacks. This highlights the imbalance Corma seeks to address.
Applications Across Industries
Corma’s AI agents are being deployed by Fortune 100 and 500 companies across various sectors, including healthcare and financial services. Early deployments have reportedly reduced threat response times by over 94% and expanded security coverage significantly. Pluda emphasized that effective AI in cybersecurity can enhance operational efficiency and trust in real-time threat responses.
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