Zero Trust for Agentic AI
Securing the Enterprise as Autonomous Agents Scale
July, 2026
AI agents are increasingly being deployed across core business workflows, accessing sensitive financial, customer, and operational data, and executing multi-step processes without a human checkpoint at each stage. Gartner predicts that by the end of 2026, 40% of enterprise applications will integrate task-specific AI agents, up from less than 5% today. Traditional, role-based authorizations were designed for predictable human access patterns and are not well suited to govern this shift. AI agents can carry access beyond what any single task requires, and workflows spanning multiple systems can be difficult to trace back to a specific decision or business purpose.
Explore how NextLabs’ Zero Trust and Attribute-Based Access Control framework helps enterprises manage agent identities, enforce contextual access policies, and maintain auditable records of autonomous activity.
Protecting AI Models, Data, and Platforms with Zero Trust Access Control
Unauthorized access to an AI system doesn’t just expose sensitive data – it can alter models, enable retraining malicious data, or export valuable insights that were never meant to leave the organization. That risk grows as AI environments become more distributed across hybrid and multi-cloud infrastructures, reducing visibility and making consistent enforcement more difficult, while insiders with legitimate credentials add another layer of exposure. Securing access to AI systems is not just a technical checkbox – it’s a governance priority.
Explore how NextLabs applies Zero Trust and Attribute-Based Access Control (ABAC) to govern access to AI systems, ensuring only authorized users, applications, and services can interact with Ai models, training data, and outputs under continuously verified conditions.
Operationalizing AI Governance in Regulated Environments
Organizations in regulated industries – critical infrastructure, defense, financial services – face increasing pressure to adopt AI quickly while maintaining security and compliance. AI coding tools introduce this tension directly into the software development lifecycle, where ungoverned agent acts on sensitive systems without the process controls regulated environment require. The question isn’t whether to move fast or stay secure – it’s whether AI can be integrated with the governance built in from the start.
Watch the Expert Series episode featuring Michael Smith, CEO and Co-Founder of Sagittal AI, as he discusses secure AI agents, process-controlled AI, and how organizations can integrate AI across the development lifecycle without sacrificing governance or control.
Secure AI-Generated Outputs with Persistent Visibility and Control
AI-generated outputs – risk scores, forecasts, analytical summaries – are increasingly used to justify concrete decisions like credit approvals and resource allocation. Once acted upon, each becomes part of the permanent decision record. With McKinsey reporting that 88% of organizations now use generative AI in at least one business function, and Gartner forecasts that half of business decisions will be augmented by AI agents by 2027, the volume of these outputs is growing quickly. Yet they rarely stay where they were created, and the moment an output leaves its originating system, visibility into who accessed it, how it was used, and whether it was altered begins to disappear.
Learn more about how Digital Rights Management (DRM) applies persistent, policy-driven protection to AI-generated outputs, keeping them governed and auditable wherever they travel.
NextLabs Latest Updates
Press Release
July 10, 2026 – NextLabs, a leader in Zero Trust data security and dynamic authorization solutions, announced the availability of NextLabs Data-Centric Security for AWS S3 (DCS for AWS S3), a solution that enables organizations to secure both application and user access to Amazon S3 using centralized Attribute-Based Access Control (ABAC) policies.
Solution Café
NextLabs Solution Café offers live 1-on-1 and roundtable sessions on zero trust, data-centric security, and NextLabs technologies — sharing use cases and best practices in an interactive space to ask questions, exchange ideas, and deepen expertise.
Date:Â July 17; August 14; September 18, 2026
NextLabs Trainings and Certifications
NextLabs provides extensive training and certification programs for partners and customers, focusing on mastery of Zero Trust Data-Centric Security products. The program covers policy development, system administration, and application integration, with hands-on modules on business information control, installation, auditing, and reporting. These courses prepare participants to effectively deploy and manage NextLabs solutions, ensuring strong data protection and compliance.
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