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Why We Exist

Building the Trusted
Intelligence Layer for Agentic Security.

Threat intelligence was built to be read by analysts. That era is ending. We're rebuilding it to be called and reasoned over by agents — provable from the data up.

Our CEO co-chairs the Cloud Security Alliance AI Safety Initiative and is a founding member of the AIUC-1 Consortium, defining security standards for AI agents.

Why Now

The Analyst Era Is Ending. The Agent Era Needs a Different Foundation.

Agentic AI triages at machine speed, and the cost of analysis is collapsing. The bottleneck has moved to the knowledge layer — and the intelligence built for human readers can't follow agents there.

The World That's Ending

  • Intelligence built to be opened and read by people
  • PDFs, dashboards, and flat indicator feeds
  • Binary flags with little or no confidence
  • A static dataset that never learns from use
  • Months of procurement before any value

The World We're Building

  • Intelligence built to be called and reasoned over by agents
  • A confidence-scored, provenance-grounded knowledge graph
  • Proof-point + graph-derived scoring on every response
  • A graph that compounds — deepening with every query
  • An agent answering threat questions in minutes

Traditional vendors built products for human analysts. Kyberis is an agent built for agents — a new category: agentic threat intelligence.

Provenance

Attribution Requires History

Kyberis starts from real-world threat intelligence, not synthetic data or lab models. Our foundation is DCSO, the cyber defense organization founded by Allianz, BASF, Bayer and Volkswagen to protect Europe’s largest enterprises. Your own feeds layer on top, and Kyberis turns all of it into decisions.

DCSO

More than a decade of frontline incident response against the same adversaries — how groups renamed, split, changed tooling, and reused infrastructure. That continuity is what makes attribution possible, and it is what the graph is built on.

Real-world threat intelCritical systems exposureInstitutional depth

GenLab

The incubator where Kyberis was built. GenLab designs and ships production systems for AI-native environments — Kyberis was architected there to run inside real security programs, not as a demo artifact.

Production system designAI-native platformsEnterprise deployment
The Team

Who’s Building Kyberis

Justin built Kyberis inside GenLab, an incubator, before it was a standalone company. Two decades architecting infrastructure at scale — distributed media, payment processing, GPU ML — taught him that complex systems fail at the data layer, and that decontextualized data fails silently.

Chris arrived from the operator side. Deploying AI agents at Albertsons and as Field CISO at Tuskira, he kept hitting the exact constraint Justin had already built for. He joined, and Kyberis spun out of GenLab as a standalone company.

Chris Kirschke

Chris Kirschke

CEO

Justin Dossey

Justin Dossey

CTO

Jan Fong Kirschke

Jan Fong Kirschke

CMO and GTM Strategy

Greg Kovacic

Greg Kovacic

CFO

Press

In the News

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