NextLabs

Start by pointing NextLabs at the systems that hold your critical information—ERP, PLM, CRM, file shares, cloud storage, and SaaS. Use built-in discovery to surface confidential records, designs, and personal data, then label them with business-friendly tags. Draft access rules in plain language (who, what, when, where, why) and run them in simulation to see real outcomes without disrupting users. Roll out gradually: pilot with a department, monitor decisions, tune exceptions, and promote to production with change tracking and approvals.

Put context-aware controls into daily operations without rewriting apps. Build attribute-based policies that reference HR roles, project membership, device posture, location, and risk scores. At runtime, the platform evaluates each request and can allow, deny, require step-up authentication, or reveal only the necessary slice through masking or redaction. Protect both on-premises and SaaS workloads by integrating with your identity provider and gateways. Security teams manage everything from a single console; business owners can propose policy changes through guided workflows that include testing and review.

Keep content safe wherever it travels. When a user shares a file, NextLabs can wrap it with strong usage rules—view-only, no copy/paste, watermarking, expiration, and offline grace periods. Recipients authenticate, and access can be revoked instantly even after distribution. Apply the same guardrails in email, browsers, and collaboration tools so exports, downloads, and screen captures follow policy. Track every open, share, and attempted bypass; trigger automated remediation such as alerting, quarantine, or coaching messages when behavior looks risky. Typical flows cover design packages sent to suppliers, financial reports in virtual data rooms, or source files synced to cloud drives.

Prove compliance and reduce overhead. Map regulations to reusable control sets and schedule evidence collection: who viewed what, under which conditions, and why it was permitted. Generate attestation reports, forward high-value events to your SIEM, and run continuous access reviews to enforce least privilege. For analytics teams, tokenize or mask sensitive fields so data scientists can work safely without full exposure. Developers can extend coverage with an SDK and REST APIs, adopt policy-as-code in CI/CD, and validate changes with automated tests. Guided playbooks, best-practice templates, and expert assistance help you deploy faster and handle edge cases with confidence.