Defensible Identity Architecture: Nobody Authorised the Machine

By Prof Kieran Upadrasta

Your enterprise is now run by machine identities no board can name. Service accounts, API keys, and autonomous AI agents outnumber your people forty to one - and they act without a human in the loop. When one moves money, exposes data, or breaches a client, the regulator asks a single question: who authorised this?

Under NIS2 and DORA, "we did not know the system would do that" is no longer a defence - it is a personal liability that lands on the management body. The human perimeter has fallen, and authority now drains into a Delegation Void: the gap where a machine acts with real-world consequence and no named human can be found to own it.

Defensible Identity Architecture is the board-level operating model for governing the non-human enterprise. It puts a named human behind every machine that acts, an architecture that proves it after the fact, and a commercial edge that turns control into won contracts. Built on a coherent, verifiable doctrine - the Machine Accountability Doctrine(TM), Decision Rights Architecture(TM), and the Access Evidence Chain(TM) - it shows you how to:

- WIN regulated, high-value contracts on the strength of your security annexe.
- AVOID director liability under NIS2 Article 20 and the voiding of cyber-insurance cover.
- PROVE every consequential machine action back to a named, accountable owner.

This is a working manual, not a thesis. Eleven board-ready diagrams, a five-level maturity model, a quantified (FAIR-aligned) risk method, a procurement clause library, a regulatory crosswalk across DORA, NIS2 and the EU AI Act, and a 24-month roadmap make it a reference you will return to every week.

Essential reading for CISOs, identity and AI-governance leaders, security architects, risk-committee chairs, and procurement and supplier-risk teams across financial services and every regulated enterprise preparing for the 2030 regulatory horizon.

"If it cannot be evidenced, it cannot be defended."

• Format: Paperback
• Language: English
• ISBN: B0H4CGP9TX
• ISBN13: 9798180389169
• Release Date: June 2026
• Publisher: Independently Published
• Length: 278 Pages
• Weight: 1.14 lbs.
• Dimensions: 0.7" x 6.0" x 9.0"