Скачать или смотреть Starseer: AI Exposure Management | DataTribe Challenge 2025 Finalist Pitch

Recorded at Cyber Innovation Day 2025, which features the 8th Annual DataTribe Challenge as its marquee competition, where five exceptional cyber startups take the stage after weeks of hands-on coaching. As finalists, they represent some of the most promising emerging technologies in cybersecurity, gaining exposure to leading investors, industry executives, and strategic partners while showcasing their breakthrough innovations.
Starseer introduces a platform that enables AI system builders to reduce risk and improve resilience before deployment by treating AI systems as probabilistic ecosystems—analyzing models, training data, refinement steps, and surrounding libraries and architectures to surface exploitable weaknesses and operational risks, ensuring production systems are safer and more reliable.
Learn more:
Website: https://cid.datatribe.com
LinkedIn:   / datatribe-  
Chapters
00:00 – Intro: Why AI systems need exposure management and assurance
00:40 – Founder background: AI security and red teaming at Verizon
01:20 – The problem: Uncontrolled AI adoption, shadow AI & operational risk
02:10 – AI usage policies: Approved services & reducing shadow AI
03:00 – Why AI is a “black box” for security teams
03:40 – Market focus: Credit unions, regional banks & regulated industries
04:30 – Starseer platform overview: Managing AI models, agents & datasets
05:20 – Enforce: Guardrails, gateways & usable security controls
06:10 – Assurance: Interpretability engine & model forensics
07:10 – Differentiation: Mapping model behavior + runtime understanding
08:00 – Deployment model: On-prem, GPU-aware, containerized, SaaS-capable
09:00 – Competitive landscape & positioning
09:50 – Early market engagement, GTM & pricing
10:30 – Judges Q&A
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