DigiCert has made its AI Trust Manager generally available, giving organisations tools to discover AI agents, establish their identities, and control what they can access and do.
The addition to the DigiCert ONE platform comes as Australian organisations continue to grapple with the security risks of increasingly autonomous AI.
A July 2026 survey of 1,001 IT and cyber security leaders found that 81 per cent of Australian organisations had experienced an AI-related security incident or identified an AI vulnerability in the previous year.
DigiCert also found that 65 per cent of Australian SMEs cite trust in AI as a barrier to adoption.
“AI adoption in Australia continues to accelerate, and this creates new trust challenges,” Daniel Sutherland, area vice president ANZ at DigiCert, said in a statement.
“Recent discussions around AI regulations in Australia have reinforced the need for organisations to understand how AI is operating within their environments, who is accountable for it, and what controls are in place when something goes wrong.”
AI Trust Manager uses the DigiCert AI Passport, a portable, cryptographically signed credential that verifies an agent’s identity and links it to an accountable owner.
Policy-based permissions define which systems, data, and actions an agent can access, and for how long. Those credentials can also be independently verified across organisations without requiring the same identity provider.
DigiCert said organisations can revoke an agent’s authority when risk or policy changes, with an automated kill switch able to block prohibited actions and, under defined policies, revoke authority and quarantine the agent.
“As agents and models continue to proliferate in Australian organisations, cryptographic assurance will become essential to establishing and verifying trust,” Sutherland said.
The platform can identify internally developed, purchased, or previously unknown agents, assign accountability, enforce permissions, and respond to changes in risk.
DigiCert said the platform is designed to extend established digital identity principles to autonomous agents as they increasingly operate across applications, clouds, and organisations.
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