Refine. Pitch.
Accelerate.
The 8th Annual DataTribe Challenge isn’t just a pitch competition—it’s a launchpad for elite cybersecurity and cyber-adjacent startups ready to break out.
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Submissions Closed

Meet 2025 Challenge Winner
Evercoast

Platform to teach AI how the physical world works. Their Spatial AI engine fuses multimodal data into coherent models of the real world, helping AI, robotics, and cyber-physical simulation teams cut development cycles, improve real-world accuracy, and strengthen system resilience.
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2025 Challenge Finalists
We’re excited to announce the five finalists for the 2025 DataTribe Challenge!
The DataTribe Challenge is the headline event in the afternoon at Cyber Innovation Day 2025, where these five exceptional startups will take the stage after weeks of hands-on coaching. These finalists, along with other promising cyber innovators, will also showcase their technologies in the Cyber Innovation Expo Hall, gaining high-impact exposure to top investors, industry leaders, and strategic partners.
Ackuity

Provides a “pre-SEIM” type system for real-time threat detection and response of AI Agent systems. They can secure every layer of a multi-agent system.
Cytadel

Full attack path automated red teaming using AI that can validate defenses, quantify resilience, and expose fixable gaps before you actually get attacked.
Evercoast

Platform to teach AI how the physical world works. Their Spatial AI engine fuses multimodal data into coherent models of the real world, helping AI, robotics, and cyber-physical simulation teams cut development cycles, improve real-world accuracy, and strengthen system resilience.
Tensor Machines

Hardware security solution that enables printed circuit boards, sensors, and other hardware components (in systems ranging from laptops to robots) to continuously self-certify authenticity while in use. Their approach can provide componentry authenticity certification in a more granular way and with fewer development hurdles than existing options.
Starseer

A platform that enables AI system builders to reduce system risk and improve resilience before deployment. It treats AI-systems as probabilistic, analyzing models, training data, refinement steps, and surrounding libraries and system architectures to surface exploitable weaknesses and operational risks, ensuring production systems are safer and more reliable.
Selected Startups will:
Share $25,000 in prizes
Pitch live on stage at the DataTribe Challenge - November 4th
Exhibit in the Cyber Innovation Expo Hall
Be featured in press, promotions, and media coverage
Earn the title of DataTribe Challenge Finalist
Meet the Judges


Bob Ackerman
Co-Founder, Datatribe


Jason Clinton
CISO, Anthropic


Martin Roesch
CEO, Netography; Founder, Sourcefire


Harry Coker
Maryland Commerce Secretary; Fmr. National Cyber Director


John Bruns
CEO, Cyber Ready Clinic; Fmr. CISO Anomali, State of MD
