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DigiCert, 에이전트 신원 확인을 위한 AI Trust Manager 출시

DigiCert는 AI Trust Manager를 일반적으로 사용할 수 있게 하여 휴대용 자격 증명, 정책 기반 권한 및 자동 취소 기능을 포함하는 AI 에이전트를 위한 암호화 ID 시스템을 도입했습니다.

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Source-page capture accompanying DigiCert launches AI Trust Manager for agent identity
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technuter.com
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technuter.comhttps://technuter.com/artificial-intelligence/digicert-launches-ai-trust-manager.html
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무슨 일이 일어났나요?

DigiCert announced the general availability of DigiCert AI Trust Manager, a component of its DigiCert ONE platform designed to help organizations discover, manage, and verify the identity of AI agents. The product introduces the DigiCert AI Passport, a cryptographically signed credential that links an agent to an accountable owner and defines its authorized actions through policy-based 'visas.' The system includes an automated kill switch that can block prohibited actions and revoke an agent's authority at the source.

DigiCert announced the general availability of DigiCert AI Trust Manager, a new solution within its DigiCert ONE platform. The product is designed to help organizations discover and manage the AI agents they own or operate. Its core function is to establish a verifiable identity for each agent, define its authorized actions, and provide a mechanism to revoke that authority when trust is compromised.

The central component of the system is the DigiCert AI Passport, described as a portable, cryptographically signed credential. This passport verifies an agent's identity and connects it to an accountable owner. It utilizes policy-based 'visas' to specify which systems, data, and actions the agent may access, as well as the duration of that authority. Because these credentials are portable, other systems and organizations can independently verify the agent's identity and permissions without relying on the original identity provider.

The product includes an automated kill switch . If an agent attempts a prohibited action, the system blocks the action and, based on policies set by the agent's owner or passport issuer, can immediately revoke the agent's authority at the source and quarantine it. DigiCert cited a July 2026 survey of 1,001 IT and cybersecurity leaders, in which 78% reported experiencing an AI-related security incident or identifying an AI vulnerability in the previous year, to contextualize the need for such controls.

The launch is part of DigiCert's broader AI trust architecture, which applies cryptographic verification across AI agents, models, and content. The company positions this as an extension of its two-decade history of providing cryptographic infrastructure for the internet, now applied to the emerging domain of autonomous AI agents.

소스 세부정보: technuter.com ↗

왜 중요한가요?

This launch addresses a critical gap in enterprise security infrastructure, which was traditionally built for human employees rather than autonomous AI agents. By providing a portable, cryptographically verifiable identity for agents, DigiCert aims to enable organizations to deploy agentic AI with greater confidence. The product allows receiving organizations to independently verify an agent's identity and permissions without relying on a single identity provider, potentially reducing the risk of unauthorized access or malicious actions by autonomous systems.

Traditional enterprise security systems were not designed to govern autonomous agents that move across applications, clouds, and organizations at machine speed. DigiCert AI Trust Manager attempts to bridge this gap by applying cryptographic identity principles to AI agents, treating them as distinct entities with verifiable credentials rather than just software processes.

The introduction of a portable identity standard for AI agents could significantly impact how enterprises adopt agentic AI. By allowing receiving organizations to independently verify an agent's authority, the system reduces the risk of 'trust on first use' vulnerabilities and enables more granular control over what an agent can do in different environments.

Industry experts cited in the report, including representatives from IDC and UKG, emphasized that enterprise AI buying has shifted from general trust to a demand for proof. The ability to provide cryptographic proof of identity and authority addresses a key frustration for buyers who are concerned about unverifiable vendor claims and the security risks of autonomous systems.

Interactive Mechanism

대화형 메커니즘: 실제로 작동하는 방식

이 개발의 이면에 있는 기본 기술을 대화식으로 살펴보세요.

Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:🛡️ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
대화형 개념 확인+10 Points
AI Agents Quiz

An agent must create a draft calendar event for Tuesday at 2 p.m. Which evidence would establish the requested result?

다음에 무엇을 볼 것인가

Monitor how enterprises integrate DigiCert AI Trust Manager with existing identity and access management (IAM) systems. Watch for adoption metrics or case studies demonstrating the effectiveness of the 'kill switch' in real-world security incidents. Additionally, observe whether other identity providers or cloud platforms adopt similar cryptographic standards for verification, which could standardize the approach to agentic AI security.

Observe whether major cloud providers or identity management vendors integrate with or adopt similar cryptographic standards for identity. The success of DigiCert's approach may depend on interoperability with existing enterprise infrastructure.

Watch for real-world deployments and case studies that demonstrate the effectiveness of the automated kill switch in preventing or mitigating security incidents involving AI agents.

Monitor regulatory developments regarding accountability and identity. As AI agents become more embedded in critical workflows, regulatory bodies may look to such cryptographic identity systems as a baseline for compliance.

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