Persistent Data Security for AI, Cloud & Enterprise
Locktera is a persistent data security platform designed to keep cryptographic protection, authorization, policy enforcement, revocation and audit controls associated with sensitive data as it moves across cloud storage, enterprise applications, AI and RAG workflows, APIs, external organizations and user environments.
Instead of relying solely on the security of the system currently holding the data, Locktera applies security at the data layer so protection can remain with the data throughout its lifecycle.
Locktera Technical Overview
Watch a guided introduction to Locktera's persistent data security architecture and how it protects sensitive data across AI, cloud and enterprise environments.
The downloadable Technical Overview also includes additional architecture, security controls and benchmark information.
How Locktera Persistent Data Security Works
Traditional infrastructure security protects networks, applications, cloud environments and storage systems. Sensitive data, however, increasingly moves beyond those boundaries into AI systems, APIs, external organizations, endpoints and multiple cloud environments.
Locktera addresses this problem by applying cryptographic protection and security policy directly to the data. Protected data can move between authorized environments while access remains subject to cryptographic authorization and policy enforcement.
Protect the Data
Sensitive data is placed into a protected Locktera container with encryption, integrity protection and associated security policy.
Evaluate Authorization
Access requests are evaluated against applicable identity, policy and contextual requirements before decryption is authorized.
Enforce at Access
Authorized requests can proceed to decryption and use. Unauthorized requests do not receive the required decryption authorization.
Policy Enforcement & Revocation
Locktera is designed to make authorization decisions at the point where protected data is accessed. Policies can incorporate conditions such as user or group authorization, time, geography, network context, access mode and container rules.
Policy can continue to apply after data has been copied or moved. Changes to authorization or revocation can therefore affect access without depending solely on the security controls of the storage location or application containing the protected object.
Identity & Role
Control access based on authorized users, recipients, groups and roles.
Contextual Policy
Apply time, network, IP, geographic and other contextual restrictions.
Revocation
Change authorization to protected information even after the data has moved beyond its original environment.
Audit Architecture & Chain of Custody
Persistent security requires visibility into how protected information is being accessed. Locktera records security-relevant activity associated with protected data, including authorization decisions and access events.
This provides organizations with an auditable history that can support security operations, investigations, governance and compliance workflows. Audit information can also be integrated into broader enterprise security and monitoring environments.
One Platform. Five Solutions.
Locktera exposes the same underlying persistent security architecture through multiple products so organizations can apply it at the point that best fits their existing environment.
Locktera CORE API
Developer APIs and SDKs for embedding encryption, authorization, policy enforcement and auditing directly into applications, services and AI workflows.
Locktera Vault
Encrypted immutable container storage designed for sensitive and high-value data, including encrypted deduplication, versioning and flexible storage deployment options.
Locktera Share
Secure document exchange and collaboration with persistent access controls, controlled viewing and downloading, expiration, recipient restrictions and revocation.
Locktera Data Gateway
Protect data at ingestion and integrate persistent data security with cloud storage and enterprise data platforms, including Databricks workflows.
Locktera Confidential AI
Security for AI and RAG workflows, including protected repositories, authorized retrieval and confidential encrypted search.
Three Ways Locktera Secures AI
Enterprise AI introduces multiple security problems. Locktera's architecture is designed to address the AI model itself, the sensitive information used by AI, and the search and retrieval process.
Protect AI Models
Apply encryption, access control, integrity protection and policy to model weights, configurations, training artifacts and other high-value AI assets.
Secure AI & RAG Data
Protect sensitive repositories and enforce authorization before protected information is decrypted and made available for authorized AI workflows.
Confidential Search
Use privacy-preserving technologies including FHE and MPC to support search over protected information while reducing exposure of underlying plaintext during the search process.
Designed to Fit the Existing Enterprise Stack
Locktera is designed to add persistent data security without requiring organizations to replace their existing applications, AI platforms, cloud providers or storage architecture.
Locktera can be integrated through APIs, SDKs and the Locktera Data Gateway while organizations continue using their existing cloud, data, application and security infrastructure.
Applications & APIs
Embed persistent data security into existing software and application workflows.
AI & Data Platforms
Apply protection to AI, RAG and enterprise data workflows without requiring a replacement AI stack.
Cloud & Storage
Support architectures spanning major cloud environments, S3-compatible storage and customer-controlled storage.
Cryptographic Protection at the Data Layer
Locktera combines authenticated encryption, cryptographic integrity and post-quantum digital signatures as part of its persistent data-security architecture.
AES-256-GCM
Authenticated encryption provides confidentiality and integrity protection for sensitive data.
Falcon Signatures
Falcon post-quantum signatures are used within the Locktera architecture for authentication, integrity and key authorization.
Integrity & Immutability
Cryptographic integrity mechanisms help identify unauthorized changes to protected objects and support immutable data workflows.
Encrypted Deduplication & Large File Workflows
Locktera includes technology designed to improve the efficiency of storing protected information without requiring plaintext inspection. Encrypted deduplication can identify redundant protected data while maintaining the security model.
For large objects, Locktera supports streaming workflows designed to protect data as it moves through encryption, storage and authorized retrieval processes.
Performance Designed for Production Workflows
Persistent cryptographic enforcement must remain practical for real-world enterprise workloads. Locktera benchmarks its container, encrypted deduplication and confidential-search technologies across multiple workloads and hardware environments.
The Technical Overview includes measured performance results and additional architectural information for readers who want to examine the technology in greater detail.
Technical material included in the downloadable overview: cryptographic architecture, key authorization, policy enforcement and revocation, audit architecture and chain of custody, compliance controls, Secure RAG architecture, encrypted deduplication, threat model and performance benchmarks.
Security Controls for Regulated Environments
Locktera provides technical security capabilities that can support organizations operating in regulated environments. These include encryption, identity and authorization controls, policy enforcement, revocation, auditability and chain-of-custody capabilities.
These technical controls may support applicable requirements across security and compliance frameworks. An organization's certification or compliance status depends on its complete implementation, processes, policies and operating environment.
Frequently Asked Questions
What is persistent data security?
Persistent data security applies protection and authorization directly to sensitive data so security does not depend exclusively on the network, application, cloud environment or storage system currently holding the information.
How is Locktera different from traditional infrastructure security?
Traditional security primarily protects environments such as networks, applications and cloud infrastructure. Locktera adds protection at the data layer so security controls can remain associated with protected information as it moves between environments.
How does Locktera secure AI and RAG workflows?
Locktera can protect AI model artifacts, secure sensitive RAG repositories and enforce authorization before protected information is decrypted for authorized AI use. Locktera also supports confidential search technologies for privacy-preserving retrieval.
Can Locktera protect AI models?
Yes. Locktera can apply encryption, access controls, integrity protection and cryptographic policy to AI model artifacts including model weights, configurations, training artifacts and fine-tuned models.
What is Locktera confidential search?
Locktera confidential search uses privacy-preserving cryptographic techniques, including FHE and MPC, to support search and retrieval workflows while reducing exposure of sensitive plaintext during the search process.
Can Locktera work with existing cloud and enterprise infrastructure?
Yes. Locktera is designed to integrate through APIs, SDKs and gateway technology so organizations can add persistent data security while continuing to use their existing applications, AI platforms, cloud infrastructure and storage environments.
Can access to protected data be revoked after it has been shared?
Locktera's policy architecture is designed to allow authorization changes and revocation to affect access to protected data even after the data has moved beyond its original environment.
What cryptography does Locktera use?
Locktera's architecture includes AES-256-GCM authenticated encryption, cryptographic integrity mechanisms and Falcon post-quantum digital signatures.
Discuss Your Architecture
If you would like to see a demonstration or discuss how Locktera could fit into your AI, cloud or sensitive-data architecture, contact our team.
Contact LockteraSales: sales@locktera.com
Technical questions: support@locktera.com