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Entrust launches Agentic AI Trust Accelerator to secure autonomous AI for financial institutions. Quick summary. Entrust has launched the Agentic AI Trust Accelerator to help financial institutions move autonomous AI agents from pilot to production. By providing a cryptographic trust layer, the program addresses the 59% of leaders citing security as a barrier, ensuring verifiable identity and accountability for AI-driven workflows. Machine Learning & Artificial Intelligence How does Entrust solve the AI governance gap? The Agentic AI Trust Accelerator addresses the critical lack of infrastructure needed to govern autonomous AI agents. Currently, 77% of CIOs report that AI adoption is outpacing their governance capabilities. Entrust provides a verifiable identity framework that ensures every action taken by an AI agent can be traced back to a confirmed human principal. This is vital for regulated financial sectors where accountability is non-negotiable. * Verifiable Identity: Linking agent actions to human principals. * Real-time Authorization: Ensuring agents operate only within delegated roles. * Cryptographic Proof: Providing a tamper-proof record of all AI transactions. What results can financial institutions expect? By implementing the Agentic AI Trust Accelerator, organizations can overcome the 59% security barrier that currently stalls AI deployment. The program offers reference architectures and customer-validated use cases that allow firms to move beyond experimentation. This trust plane enables "human on the loop" oversight, which Deloitte identifies as essential for enterprise-grade AI automation and risk management. How does cryptographic trust secure AI workflows? Entrust leverages its expertise in PKI and secrets management to protect the keys and certificates that AI agents use to authenticate. This cryptographic trust layer ensures that agents cannot be hijacked or perform unauthorized actions across organizational boundaries. By securing the agent lifecycle, Entrust allows for continuous verification, moving governance from a static checklist to a dynamic security discipline. Machine Learning & Artificial Intelligence Ff news take: The Agentic AI Trust Accelerator is a significant move for the industry. While most firms are focused on the 'intelligence' of AI, Entrust is focusing on the 'integrity.' For financial institutions, the ability to provide cryptographic proof of action is the difference between a cool demo and a production-ready tool. This initiative effectively addresses the governance gap, making autonomous AI a viable reality for highly regulated markets. Featured speakers.

Entrust's Biometric Authentication for AI threats. 25 Jun 2026 Quick Read Summary is AI-generated, newsdesk-reviewed * Entrust unveils biometric authentication to combat AI-driven account takeover and fraud. * Identity-centric security enhances fraud prevention and improves user experiences with biometric solutions. * Adaptive risk-based authentication defends against deepfakes using ISO 30107-3 Liveness Detection. Entrust has announced a new strategy to combat account takeovers in the era of Artificial Intelligence (AI), launching its Biometric Authentication solution designed to provide identity-centric assurance during high-risk activities like account recovery, device changes, and large transactions. With cyber attackers increasingly focusing on these critical interactions, organizations must transition from merely verifying access to ensuring the identity of the real human involved in transactions. The solution aims to minimize fraud while offering end-users a seamless experience. According to Mike Baxter, Entrust's Chief Technology & Product Officer, "Too many organizations are treating authentication as a login problem, but attackers have already moved beyond access." Adaptive risk-based authentication. Baxter emphasizes the necessity of verifying the individual behind each interaction to thwart account takeovers, particularly given the rise in AI-driven attacks. These attacks have resulted in significant financial losses, with companies globally losing an average of 7.7% of annual revenue to fraud, largely due to account takeovers. AI-generated deepfakes now constitute one in five biometric fraud attempts, underscoring the urgent need for robust identity verification. AI-generated deepfakes now constitute one in five biometric fraud attempts The Entrust solution addresses these threats by integrating biometric identity verification with adaptive risk-based authentication, which is pivotal in countering presentation, injection, and deepfake attacks. This approach requires identity assurance during vital processes such as onboarding, account recovery, and major transactions. A unified approach to identity assurance. Distinguishing itself from fragmented solutions, the Entrust Biometric Authentication solution leverages an established verified identity across all access points and interactions. This integration enables organizations to make informed authentication decisions by anchoring a biometric check to a trusted identity. The solution empowers organizations to: * Tailor identity assurance levels according to risk to combat account takeover attempts. * Decrease unwarranted account lockouts due to password and one-time passcode failures. * Strengthen defenses against presentation, injection, and deepfake attacks. * Reduce manual reviews and support calls through secure self-service authentication. * Provide consistent, auditable identity assurance throughout the user lifecycle. * Enhance user experience with rapid, intuitive biometric processes. Methods of authentication. The Entrust solution employs three authentication methods tailored for varying risk levels: * Biometric Passkey - Offers biometric authentication at crucial high-risk moments by linking authentication to a verified human identity. * Face Authentication - Streamlines everyday and step-up authentication by replacing one-time passcodes with a straightforward biometric check. * Motion Authentication - Provides defense against deepfake, replay, and injection attacks in high-assurance applications, conforming to ISO 30107-3 PAD Levels 1 & 2, with performance validated by iBeta Quality Assurance.

Entrust has introduced a new biometric authentication solution designed to prevent AI-driven account takeover by verifying the real human behind transactions rather than just access credentials. The system targets high-risk moments including account recovery, device changes and large transactions. The solution combines biometric identity verification with adaptive risk-based authentication to defend against presentation, injection and deepfake attacks. It offers three authentication methods: Biometric Passkey for high-risk moments, Face Authentication for everyday verification, and Motion Authentication with ISO-conformant liveness detection to combat deepfakes. The move addresses a growing threat, with global businesses losing 7.7% of annual revenue to fraud and account takeover accounting for nearly one-third of those losses. One in five biometric fraud attempts now involve AI-generated deepfakes. The solution is available now.