TKeeper has earned Silver Award recognition in the AI Agent Identity Security category of the 2026 Cybersecurity Excellence Awards.
The program evaluates nominations for innovation, impact, and leadership within their category. For us, the recognition matters because it points at a boundary enterprise AI cannot leave implicit: a machine needs more than credentials when it can create a financial, security, or operational effect.
“We congratulate TKeeper on earning Silver Award recognition in the AI Agent Identity Security category of the 2026 Cybersecurity Excellence Awards.”
“Selected by an independent jury of cybersecurity practitioners, analysts, and CISOs, this recognition highlights the role of innovative security solutions in strengthening cybersecurity across organizations worldwide.”
Holger Schulze
Founder of Cybersecurity Insiders and organizer of the Cybersecurity Excellence Awards
Why this category matters.
AI agents and automated services can initiate payments, deployments, certificate requests, asset transfers, and privileged commands. Existing identity systems may authenticate the caller and allow access to an API. That still does not prove that the exact effect a machine is about to create was authorized.
TKeeper addresses that missing boundary. It sits between a machine and its backend, binds the exact action to a cryptographic identity and its applied authorities, policy, controls, and quorum, then returns proof the backend must verify before execution.
What users get.
A cryptographic boundary.
Governance is bound to the proof a backend verifies, rather than left as a recommendation around the workflow.
Risk that stays distributed.
Configurable quorum spreads authority across independent parties instead of concentrating it in one machine or credential store.
An integration that keeps the execution path.
The machine sends its action through TKeeper; the existing backend verifies the returned proof before it executes.
A longer-lived identity architecture.
Identity, policy, controls, and integrations remain intact when teams move their signature algorithm to ML-DSA.
Award recognition is useful.