Company Overview
About Deep Instinct
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.
Business Model & Competitive Advantage
Founded in 2015 and headquartered in New York with R&D in Tel Aviv, Deep Instinct has raised approximately $343 million across multiple funding rounds, including a $62 million Series E in October 2025 at a $500 million valuation led by Millennium New Horizons. The company generated approximately $62.5 million in 2024 revenue and serves enterprise customers across financial services, healthcare, manufacturing, and government sectors. Its 2024 revenue grew meaningfully from prior years as enterprises increasingly sought prevention-first alternatives to traditional detect-and-respond security platforms.
Competitive Landscape 2025–2026
Deep Instinct's differentiated claim is "faster than real-time" threat prevention — its models analyze files before they are opened or executed, providing a deterministic prevention layer that complements existing security stacks rather than replacing them. The company's low false-positive rate is a key competitive advantage in enterprise deployments where alert fatigue from overly aggressive security tools creates its own operational problems.
Key Differentiators
Strong Challenger
Deep Instinct is an established challenger with significant market presence and competitive offerings in Cybersecurity.
Frequently Asked Questions
Estimated Visibility Trend (Beta)
Simulated 8-week rolling score
Based on estimated brand signals. Historical tracking coming soon.
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