Defy Security provides an AI‑driven cybersecurity platform that uses its Modelpoint analytics engine to detect and prioritize threats up to 6,000 × faster than human analysts. The solution delivers near‑real‑time alerts and automated response guidance for military, government, and large‑enterprise environments, integrating with existing SOC, SIEM, and battle‑management systems to enable rapid decision‑making at the edge.
Funding
$650M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations tasked with protecting critical infrastructure and national security often rely on manual or legacy cyber‑threat analysis processes that are slow, labor‑intensive, and unable to keep pace with sophisticated attacks.
Solution
Defy Security delivers a cybersecurity platform that applies high‑speed, AI‑driven analytics to detect and prioritize threats thousands of times faster than traditional methods. Its Modelpoint engine processes massive data streams in near real‑time, generating actionable alerts that enable operators to make rapid decisions at the edge. The solution is engineered for deployment across large‑scale events, battlefield environments, and enterprise networks, providing continuous monitoring and automated response guidance. By integrating directly with existing command‑and‑control and security information systems, the platform reduces reliance on manual triage and shortens the time from detection to mitigation.
Target Audience
Primary customers are U.S. and allied government agencies, defense and military units, and large enterprises responsible for critical infrastructure and public‑safety operations.
Features
- Modelpoint analytics engine that evaluates threat data up to 6,000× faster than human analysts
- Real‑time edge deployment kits for mobile command units and on‑site event security teams
- Automated prioritization and correlation of alerts using machine‑learning models trained on national‑security datasets
- Seamless integration with existing SOC, SIEM, and military battle‑management platforms via APIs
- Scalable architecture supporting large‑scale public‑safety operations and mega‑event monitoring
- Continuous learning pipeline that updates detection models with emerging threat intelligence