Entrust has unveiled the Agentic AI Trust Accelerator, a co-development initiative designed to give enterprises the trust infrastructure required to shift autonomous AI projects out of pilot phases and into production.
The programme will convene enterprises alongside integration partners to jointly develop the identity and trust foundations that autonomous agents require.
The initiative responds to a widening gap between AI ambition and oversight: while businesses are keen to hand real work to AI agents, they currently lack mechanisms to govern autonomous behaviour spanning multiple systems, partners and processes. Firms must be able to establish who sanctioned an agent, the limits of its permitted activity, and how its conduct can be evidenced afterwards.
Research from IBM cited in the announcement found that 77% of CIOs and CISOs believe AI adoption is running ahead of their governance capabilities, while 59% name security and compliance among the biggest obstacles to deployment. Deloitte has similarly stressed that “human on the loop” automation demands robust agent governance.
Initial efforts under the Accelerator will concentrate on four priorities suited to regulated and compliance-heavy workflows.
These are verifiable identity for both humans and agents, allowing every action to be traced to a confirmed human principal; real-time authorisation that keeps agents within approved policies and delegated authority, with human involvement for critical calls; cryptographic assurance protecting the keys, certificates, secrets and signing capabilities agents rely on; and accountability through cryptographically verifiable records of actions for regulators, customers and internal risk functions.
Entrust specialises in identity-centric security, with capabilities spanning identity verification, cryptographic identity, and lifecycle management for keys, certificates and secrets. The company argues these strengths are essential to extending governance to agents operating across applications and organisational boundaries.
Participation is being opened to a limited group of enterprise customers, financial institutions, cloud and SaaS providers, systems integrators and technology partners, who will co-develop trusted agentic AI architectures supported by reference architectures, customer-validated use cases and practical controls.
Entrust COO for digital infrastructure Anudeep Parhar, who is leading the Accelerator, said, “AI agents are advancing faster than the trust infrastructure needed to govern them. Enterprises need to be able to trust autonomous actions across business processes, partners, and systems.
“Whether organizations are experimenting with AI agents, deploying initial use cases, or preparing for broader adoption, they need a trust foundation that can scale with them. The Agentic AI Trust Accelerator brings together customers and partners to develop practical approaches for identity, authorization, cryptographic trust, and accountability that work with their existing platforms. We call this the trust plane for autonomous AI.”
Entrust CEO Tony Ball said, “Agentic AI will reshape how enterprises operate, but trust will determine how quickly organizations can move from experimentation to production. Entrust is helping customers build the identity, authorization, and cryptographic foundations required for autonomous systems operating in real-world environments.”
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