Technology company Truthlocks Inc. has published its Machine Agent Identity Protocol, known as MAIP, alongside open-source developer integrations designed to support identity and accountability for artificial intelligence agents.

The development addresses a growing concern for organisations adopting AI-enabled systems: determining which software identity was associated with an activity and examining evidence recorded about that action.

Truthlocks, a United States-incorporated company founded by Nigerian entrepreneurs Nnaa Igwiloh and Emmanuel Adeyinka, is developing the protocol as part of its machine identity infrastructure.

As AI agents become capable of interacting with applications and participating in business workflows, organisations require mechanisms for identifying software systems and reviewing their activities.

These workflows may involve retrieving information, processing requests, or carrying out tasks within authorised environments.

When several software agents operate across connected systems, determining which identity was associated with a particular action can become important for accountability.

MAIP is intended to support the development of systems capable of providing this evidence.

Through Truthlocks’ machine identity infrastructure, software agents can be registered and associated with identifiable digital identities.

The technology also supports the definition of authorised actions and the generation of digitally signed action receipts.

These receipts provide evidence associated with recorded activities, which organisations can examine during internal reviews, investigations, and compliance-related processes.

For example, a business operating multiple AI agents may need to identify which software identity was associated with a particular recorded action.

A signed receipt can provide evidence linking the recorded information to an associated identity.

However, such evidence does not independently establish that the activity was appropriate, successful, or authorised in every relevant sense.

Organisations must still examine supporting records and applicable controls before drawing conclusions about automated activities.

This distinction is important because technical evidence of an activity is not the same as proof that the activity produced the correct result.

The publication of MAIP also includes open-source developer integrations intended to help software engineers explore the company’s machine identity technology.

These resources support developers interested in incorporating identifiable software agents and signed activity evidence into AI-enabled applications.

Truthlocks’ wider organisational infrastructure includes capabilities for access management, audit evidence, record reviews, and compliance-related workflows.

Nnaa Igwiloh, the company’s Co-founder, Chief Executive Officer, and Chief Technology Officer, oversees its engineering and technical development.

Co-founder Emmanuel Adeyinka serves as Chief Operating Officer, managing business operations and external relationships.

Established in Delaware in 2026, Truthlocks is developing its technology for applications across different industries and international markets.

The publication of MAIP represents a technical development milestone in the company’s work on machine identity and AI accountability.

As organisations expand their use of AI agents, mechanisms for examining software identities and recorded activities will remain important to the management of automated systems.