As enterprises confront the rapid expansion of AI-powered productivity tools, eScan (MicroWorld Technologies Inc.) has announced the extension of its Workspace Tenant Control feature to cover Anthropic’s Claude.ai and Manus.im, the autonomous AI agent recently acquired by Meta. The move strengthens enterprise data protection and governance as organizations navigate growing compliance obligations under India’s Digital Personal Data Protection (DPDP) Act.
The enhancement addresses a pressing enterprise risk: employees accessing powerful generative AI and agentic AI platforms through personal accounts, thereby creating uncontrolled data flows that bypass corporate monitoring, audit controls, and regulatory compliance frameworks. With AI tools becoming deeply embedded in day-to-day workflows, organizations face heightened exposure to data leakage, intellectual property risks, and shadow AI usage.
Rising Risks in the Age of Autonomous AI
Following Meta’s acquisition of Manus in December 2025, enterprises are grappling with a new layer of complexity. Unlike conversational AI systems, Manus operates as an autonomous execution engine capable of browsing the web, writing and deploying code, analyzing enterprise datasets, and generating end-to-end reports with minimal human intervention. Its ability to execute multi-step workflows autonomously introduces expanded attack surfaces and governance challenges, particularly when accessed outside enterprise-controlled environments.
Govind Rammurthy, CEO and Managing Director of eScan, emphasized that earlier incidents—such as employees sharing confidential data with generative AI chatbots—highlighted the risks of unregulated AI adoption. However, autonomous AI agents represent a significantly higher category of risk because they can interact with production systems, generate deployable code, or conduct competitive intelligence tasks using proprietary data without centralized oversight.
Similarly, Claude.ai from Anthropic has seen widespread enterprise adoption for code reviews, technical documentation, and strategic analysis. Like other generative AI platforms, Claude allows authentication via personal email accounts and third-party identity providers such as Google or Microsoft, potentially creating compliance blind spots for regulated organizations.
How eScan’s Workspace Tenant Control Works
eScan Enterprise DLP’s Workspace Tenant Control operates at the endpoint level, monitoring authentication attempts to platforms such as Claude.ai and Manus.im. When an employee attempts to log in using personal credentials or third-party single sign-on (SSO) providers, the DLP system intercepts and blocks the attempt. Access is permitted only when corporate domain credentials are used, ensuring that all AI interactions occur within managed, auditable tenant environments.
This approach enables enterprises to maintain productivity while preserving governance. Employees retain access to AI tools required for legitimate business operations, but all usage remains visible, traceable, and compliant with internal policies and regulatory mandates such as India’s DPDP Act.
For Manus specifically, tenant enforcement becomes increasingly critical given Meta’s plans to embed Manus capabilities across its broader ecosystem, including platforms such as Facebook, Instagram, WhatsApp, and Meta AI. Access attempts through personal Meta accounts trigger the same enforcement controls, preventing unsanctioned enterprise data exposure.
AI Governance Amid Escalating Compliance Pressure
The expansion of tenant control comes against a backdrop of escalating cybersecurity incidents and data governance failures. Industry reports have highlighted millions of exposed secrets in public repositories and large-scale credential compromises affecting enterprise CI/CD pipelines. In India, AI-enabled fraud and deepfake-driven scams have further intensified regulatory scrutiny around responsible AI deployment and data sovereignty.
Under the DPDP Act, data protection is no longer solely an IT concern but a board-level compliance mandate. Enterprises must demonstrate clear governance mechanisms, controlled data flows, and measurable safeguards against unauthorized data processing across digital platforms—including AI services.
eScan’s Workspace Tenant Control already supports authentication governance across widely used enterprise platforms such as Google Workspace, Microsoft 365, Dropbox, Slack, Zoom, GitHub, and ChatGPT. The inclusion of Claude and Manus extends this unified data loss prevention (DLP) framework to the rapidly expanding ecosystem of generative and agentic AI platforms.
Enabling Responsible AI Adoption
The enhanced capability is now integrated into eScan’s Enterprise DLP solution, with plans to extend support to additional AI platforms based on enterprise demand. As AI-driven productivity tools proliferate and autonomous agents become embedded in enterprise workflows, ensuring corporate data sovereignty across these environments is emerging as a foundational requirement for secure and compliant AI adoption.
By extending tenant-level control to advanced AI platforms, eScan aims to help organizations strike a balance between innovation and governance—allowing them to harness AI-powered productivity gains while maintaining regulatory compliance, operational visibility, and robust cybersecurity controls.
