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    Digimarc Extends Its Agent-Native Provenance and Verification Platform to the World's Leading Agentic AI Ecosystems

    6/16/26 8:00:00 AM ET
    $DMRC
    EDP Services
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    Get the next $DMRC alert in real time by email

    New Integrations Bring Security and Governance Capabilities to the Leading Agentic Platforms Powering Autonomous Enterprise AI

    Digimarc Corporation (NASDAQ:DMRC), a pioneer in digital identity and authentication solutions, today announced that it is extending its agent-native provenance and verification infrastructure capabilities to the leading platforms used to build and deploy autonomous systems, including LangChain, ServiceNow Action Fabric, Salesforce Agentforce, Google Gemini Enterprise Agent Platform, and Microsoft Copilot Studio. These extensions of the Digimarc platform seamlessly allow any AI agent created in these agentic ecosystems to cryptographically stamp outputs at the moment of creation, establish authenticity of ingested content before taking action via submission to Digimarc's multi-layered verification engine, and retrieve a complete lineage chain from the Digimarc Lineage Vault for audit, incident response, and compliance reporting.

    Enterprise agentic AI deployments are accelerating rapidly across every major platform, yet the artifacts these agents produce and interact with – including documents, decisions, recommendations, data, and media – represent unaddressed security vulnerabilities without a verifiable record of origin, authorization, or integrity. As organizations move AI from experimentation into production workflows, trust, governance, and accountability have become mission critical requirements.

    The platform integrations announced today close that security gap by making provenance a first-class, natively available capability on each Agentic AI platform. By bringing provenance and verification directly into the platforms that developers already use, Digimarc is making trusted content and trusted actions native capabilities of modern AI workflows, addressing rapidly growing security and governance concerns.

    HOW IT WORKS

    Digimarc's agent-native provenance platform is grounded in three powerful capabilities: a provenance stamping service that applies cryptographic signatures to agentic output; a multi-layered verification engine that goes beyond simple signature checking to cascade through provenance pointer resolution and perceptual watermark detection, returning an actionable trust verdict rather than a binary pass or fail; and the Digimarc Lineage Vault, an immutable record of every artifact's origin, transformation, and chain of custody that supports audit, incident reconstruction, and regulatory compliance. All three capabilities are exposed through Digimarc's Model Context Protocol (MCP) server, making them agent-callable on any platform without framework modification. The platform integrations announced today take this a step further and are built to support the way developers already work, so leveraging Digimarc's capabilities require no new tools, no new frameworks, and no new infrastructure to manage.

    The approach is built around a simple insight: the developer who builds an agent is typically the person who selects its tools. By embedding provenance and verification directly into the platforms that developers already use, Digimarc lowers the barrier to adoption while helping organizations establish trust and traceability across increasingly autonomous workflows. By meeting developers where they already work, Digimarc makes provenance the easy choice rather than an additional integration burden.

    "AI agents are being deployed into production faster than the security and governance infrastructure to support them. As organizations begin relying on autonomous systems to do more than just create content – such as make recommendations, drive business processes, and take action – the ability to verify what those systems are acting upon has become mission critical. Digimarc's solution is not just a signing standard, it is a verification service that tells an agent what to do when it receives content it cannot fully trust and a lineage vault that preserves the complete origin story of every artifact an agent touches. Extending our provenance and verification infrastructure to where developers are already building is about making enterprise-grade governance the easy choice, not an additional burden."

    – Ken Sickles, EVP and Chief Product Officer, Digimarc

    PLATFORM INTEGRATIONS

    Digimarc is extending its agent-native provenance and verification infrastructure to the platforms where enterprise agentic AI is being built and deployed today:

    • LangChain and LangGraph
    • ServiceNow Action Fabric
    • Salesforce Agentforce
    • Google Gemini Enterprise Agent Platform.
    • Microsoft Copilot Studio

    Across all platforms, the integrations expose the same three core operations powered by Digimarc's Illuminate platform and made available through its MCP Server: cryptographic artifact stamping; multi-tiered verification logic that helps organizations determine whether content can be trusted before downstream action occurs; and full lineage retrieval for audit, incident response, and compliance reporting.

    WHAT ENTERPRISE DEVELOPERS GAIN

    The promise of autonomous systems is speed and scale. The challenge is ensuring organizations can trust, audit, and govern the systems within which those agents operate. Digimarc's agent-native provenance and verification platform allows developers to overcome these challenges without requiring expertise in cryptographic infrastructure or content authenticity technology and standards. Every agent's output is cryptographically bound to its origin and authorization context at the moment of creation, incoming artifacts are verified using Digimarc's proprietary multi-layered verification engine before downstream action is taken, and all interactions are recorded in an immutable audit trail.

    The integrations announced today represent a critical step forward in making provenance, verification, and trust fully native capabilities of increasingly autonomous digital ecosystems. The result is a more trusted foundation for autonomous systems, enabling organizations to adopt AI at greater scale and with greater confidence by ensuring that what systems create, consume, and act upon can be verified, trusted, and traced.

    AVAILABILITY

    More information and developer access is available at digimarc.com/solutions/agentic-trust.

    About Digimarc

    Digimarc (NASDAQ:DMRC) is building the trust layer for the modern world. Our solutions help people, businesses, and intelligent systems verify what's real, protect what matters, and interact with confidence across physical and digital environments. Learn more at Digimarc.com.

    View source version on businesswire.com: https://www.businesswire.com/news/home/20260616796357/en/

    Wendy Renner

    Chief Marketing Officer

    pr@digimarc.com

    503-469-4800

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