Deep Instinct vs Tracecat
Side-by-side comparison of AI visibility scores, market position, and capabilities
Deep Instinct applies deep learning to prevent ransomware and zero-day malware before execution — raised $62M Series E in Oct 2025 at $500M valuation, with $62.5M 2024 revenue.
About
Deep Instinct is a New York-based cybersecurity company that applies deep learning — the most advanced form of artificial intelligence — to predict and prevent cyber threats before they execute, rather than detecting and responding to them after the fact. Its platform uses neural networks trained on hundreds of millions of malware samples to identify malicious files and behaviors with sub-20-millisecond inference times, enabling prevention of ransomware, zero-day exploits, and unknown malware across endpoints, storage systems, and applications.
SF YC W24 open-source SOAR security automation deployed by 200+ orgs (Fortune 500 + federal); $500K-$2M seed on Temporal's durable execution with 100+ integrations competing with Splunk SOAR and Tines for security incident response.
About
Tracecat is a San Francisco-based open-source security automation platform — backed by Y Combinator (W24) with $500,000-$2 million in seed funding from Y Combinator, Pioneer.app, Pioneer Fund, and SurgePoint Capital — providing security operations, IT, and infrastructure teams with a modern, cost-effective alternative to commercial SOAR (Security Orchestration, Automation, and Response) tools for automating security alerts, incident response, and IT workflows. Deployed by 200+ organizations from Fortune 500 companies to federal agencies, Tracecat is built on Temporal's durable execution platform (used by Datadog, Netflix, and Stripe) and offers 100+ integrations, AI-assisted runbooks, case management, and lookup tables. Founded in 2024 by Chris Lo and Daryl Lim.
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