Netskope has integrated Anthropic’s Claude Compliance API with its Netskope One platform, giving enterprises tighter control over how staff use Claude Enterprise and Claude Platform as artificial intelligence becomes embedded in regulated business workflows.The integration, announced from Santa Clara on 21 May 2026, allows security and compliance teams to bring Claude activity into existing Netskope One controls rather than monitoring AI use through separate dashboards. The capability covers asset, identity and activity visibility, policy enforcement, data security, posture management and audit oversight across Claude deployments.
The move reflects a wider shift in enterprise AI security. Companies that first treated generative AI as an experimental productivity tool are now confronting its use in software development, legal review, financial analysis, customer support, research and document processing. That shift has raised concerns over sensitive data being placed into prompts, files being uploaded to AI systems, API keys being poorly governed and employees using personal or unmanaged tools outside corporate oversight.
Netskope’s data indicates that Claude adoption among organisations rose sharply between April 2025 and April 2026, moving from 56.2% to 94.9%. The figures point to a rapid mainstreaming of Anthropic’s assistant inside corporate environments, particularly where teams require coding support, document analysis and structured reasoning. Broader enterprise AI use has also accelerated, with a higher share of employees using at least one AI application weekly and organisations accessing a growing number of AI tools across managed and unmanaged environments.
Through the new integration, Netskope customers can inventory Claude organisations, workspaces, projects, users, API keys and Model Context Protocol servers. Security teams can also identify third-party tools and data sources that Claude has been authorised to access, giving administrators a clearer view of how AI systems interact with enterprise data and workflows.
The platform will apply existing data loss prevention policies to Claude Enterprise conversations, extending controls already used for cloud, software-as-a-service, web and private applications. Files uploaded to or generated within Claude Enterprise can be inspected by threat protection and malware engines, while activity signals can feed behavioural analytics systems designed to identify anomalies and elevated risk.
Sanjay Beri, Netskope’s chief executive and co-founder, said organisations were moving beyond experimentation and adopting AI at scale. He described the Claude Compliance API integration as part of a broader AI ecosystem strategy, linking Netskope’s data governance and compliance controls directly to Claude usage so shared customers can adopt the tools quickly while retaining confidence in their security posture.
Claude’s Compliance API is designed to give enterprise IT and security teams programmatic access to Claude activity data. Rather than relying on manual exports or periodic reviews, organisations can feed usage and customer-content signals into compliance dashboards, investigation workflows and automated policy enforcement systems. That matters for large organisations where audit teams require continuous evidence of control, especially in sectors such as finance, healthcare, legal services, technology and public-sector contracting.
Netskope said the integration will support compliance mapping across frameworks including GDPR, HIPAA, SOC 2, NIST 800-53, CSA CCM and PCI-DSS. The platform is also expected to help administrators manage Claude API key governance, including rotation hygiene, least-privilege checks, orphaned-key detection and attribution of administrator activity.
The timing is significant because AI governance is becoming a board-level issue. Security leaders are being asked to enable AI productivity while preventing confidential information, intellectual property, customer records, credentials and regulated data from leaving controlled environments. Traditional cloud access security and data protection tools were built around human-to-application traffic, while AI workflows increasingly involve agents, models, plugins and automated application-to-model interactions.
Netskope’s AI security portfolio sits within its wider secure access service edge and security service edge strategy, where the company competes with major cybersecurity vendors seeking to extend governance from web and cloud traffic into AI services. Anthropic’s integration ecosystem around the Compliance API includes several security, identity, observability and compliance providers, underlining a race among vendors to become the control layer for enterprise AI adoption.
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