Klarytee

Klarytee continuously analyses data across the data estate to identify sensitive elements, assess access conditions, track data movement, and monitor policy enforcement. The platform generates ongoing intelligence about how data is accessed, transformed, embedded, and reused, including within AI pipelines, enabling organisations to understand data risk, usage patterns, and governance posture at fine granularity.

Klarytee enforces cryptographic access to protected data based on authenticated identity and execution context. Access requests are evaluated against policies bound directly to encrypted data fragments, and decryption is permitted only when policy conditions are met. This ensures that different users, services, or AI agents receive different cryptographic access to the same dataset based on least-privilege, need-to-know rules.

Klarytee secures sensitive data across cloud, hybrid, and on-premise environments by applying protection directly to data elements. Encryption and policy enforcement persist as data moves between cloud services, applications, and AI workloads. This approach maintains consistent control over sensitive data regardless of where it is stored, processed, or transferred. These controls apply uniformly across environments and remain effective as data crosses cloud boundaries and operational contexts.

Klarytee discovers and catalogues data across the data estate, identifying sensitive and regulated elements at fine granularity. The platform maintains continuously updated metadata covering data classification, location, access conditions, and policy bindings. This provides organisations with an accurate, current view of sensitive data assets and their governance state. The catalogue is maintained continuously as data changes and moves across systems.

Klarytee enforces data governance by cryptographically binding access and usage policies directly to data elements. Governance controls persist as data is accessed, transformed, embedded, or reused, including within AI systems and pipelines. This enables continuous governance, accountability, and auditability that operate directly on data throughout its lifecycle. Governance enforcement remains active across organisational boundaries, technical systems, and automated processing workflows.

Klarytee reduces data loss risk by encrypting sensitive data fragments and controlling decryption through policy enforcement. By determining precisely who can decrypt specific data elements and under what conditions, the platform limits unauthorised exposure, misuse, and AI-driven leakage even when data is copied, transformed, or reused. This reduces the effective blast radius of data handling errors and misuse.

Klarytee supports secure data management by maintaining continuous protection and policy enforcement over sensitive data throughout its lifecycle. As data is created, accessed, transformed, shared, or embedded into AI workflows, the platform ensures that data-level controls remain active and consistently applied across systems and operational processes. This enables organisations to manage sensitive data securely across complex, distributed data environments.

Klarytee enforces privacy controls directly on personal and sensitive data elements. By binding access and usage policies to data itself and maintaining visibility into how personal data is processed, the platform supports data minimisation, purpose limitation, and accountable handling of personal data across enterprise systems and AI pipelines. These controls help ensure consistent privacy protection as data moves and is reused.

Klarytee applies selective, fragment-level encryption to sensitive data elements based on classification and policy. Encryption is applied dynamically so that non-sensitive data remains usable while protected fragments stay encrypted. Cryptographic controls persist with the data across formats, systems, transformations, and AI workflows. This ensures encryption remains effective throughout the full data lifecycle and usage context.

Klarytee enables GDPR-aligned handling of personal data by identifying personal data elements, enforcing controlled access and usage, and maintaining auditability of data processing activities. Persistent data-level controls support lawful processing, accountability, and ongoing compliance across complex data estates and AI-enabled environments. This supports regulatory oversight and compliance assurance over time.

Klarytee enforces data-level restrictions for all actors, including privileged users, service accounts, and AI agents. Decryption of sensitive data fragments is permitted only when policy conditions are satisfied, ensuring that elevated system access does not automatically translate into unrestricted access to sensitive or regulated data assets. This maintains least-privilege access to sensitive data even in high-privilege operational scenarios.