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BCaster Uses Locktera to Secure and Manage AI Data Files and Access
October 21, 2026
Dallas, TX—11 min read
Executive Summary:
Securing AI-Powered Visual Intelligence Without Rebuilding the Platform
BCaster, an AI-powered visual intelligence and situational awareness platform, integrated Locktera’s persistent data security technology in just one day. The integration enables BCaster to protect sensitive AI data files with encryption, policy-based access controls, and audit capabilities without developing comparable security infrastructure internally.
The collaboration demonstrates how sophisticated AI platforms can incorporate enterprise-grade data protection while maintaining their focus on AI innovation. The solution supports security-sensitive applications across public safety, government, evidence management, and regulated industries.
This collaboration demonstrates how AI-powered platforms can incorporate enterprise-grade data protection while remaining focused on innovation and their core capabilities. The solution supports security-sensitive applications across government, public safety, defense, and enterprise environments.
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Discover how BCaster integrated Locktera's persistent data security technology into its AI-powered visual intelligence platform in just one day, adding file-level encryption, policy-based access controls, and audit capabilities without developing comparable security infrastructure internally.
Inside This Case Study
Discover how BCaster integrated Locktera's persistent data security technology into its AI-powered visual intelligence platform in just one day, enabling enterprise-grade protection, controlled access, and auditability without building comparable security infrastructure internally.
AI Data Security Challenges
Understand the risks of protecting sensitive visual intelligence, AI-generated information, and data moving between systems, users, and external partners.
One-Day Technology Integration
Explore how BCaster integrated Locktera's data security technology into its existing AI platform in just one day, avoiding extensive in-house development.
Persistent Data Protection
Learn how encrypted, policy-bound containers help protect BCaster's AI data files as information moves across storage systems, applications, and environments.
Policy-Based Access Control
Examine how identity, recipient permissions, time, location, and contextual policies help control access to sensitive AI data and support authorization and revocation.
Auditability & Chain of Custody
Discover how access logging, activity monitoring, and policy enforcement support accountability, traceability, and security-sensitive AI workflows.
Business Results & Market Expansion
Explore how rapid integration, reduced development requirements, and persistent data security support BCaster's growth into public safety, evidence management, and regulated markets.
Media Contact
Locktera Media Team
media@locktera.com
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Why BCaster Chose Locktera
BCaster transforms information from cameras, uploads, and multiple data sources into actionable AI-powered intelligence. As sensitive information moves between systems, users, and organizations, traditional infrastructure security alone cannot provide persistent control. BCaster needed enterprise-grade protection that could be integrated without rebuilding its AI platform.
Protecting Sensitive AI Data Beyond Traditional Security Boundaries
BCaster processes and enriches information from multiple sources, creating valuable intelligence that may move across cloud environments, applications, and external organizations. Traditional perimeter and infrastructure controls do not provide persistent protection once data leaves those environments, increasing the risk of uncontrolled copying, sharing, and unauthorized access.
Maintaining Control, Traceability, and Accountability
Security-sensitive applications require more than encrypted storage. BCaster needed the ability to enforce granular access policies, manage authorized recipients, monitor activity, and maintain an auditable chain of custody as AI data moves through investigations, collaboration, and downstream sharing. These requirements are particularly important for public safety, evidence management, and regulated environments.
Avoiding the Cost and Complexity of Building Security In-House
Developing enterprise-grade encryption, policy enforcement, audit capabilities, and secure data management internally would require significant engineering resources, investment, and development time. BCaster needed a solution that could integrate directly into its existing AI architecture, allowing its development team to remain focused on visual intelligence innovation rather than building security infrastructure from scratch.
Who Should Read This Case Study?
This case study is relevant to technology leaders, AI platform developers, cybersecurity professionals, and organizations responsible for protecting sensitive visual intelligence, AI data files, and information shared across security-sensitive environments.
CTOs & AI Platform Leaders
Discover how enterprise-grade data security can be integrated into existing AI platforms without rebuilding infrastructure or diverting engineering resources from core product innovation.
AI Developers & Systems Integrators
Explore how Locktera's technology can add encryption, authorization, and audit capabilities to AI workflows while supporting existing applications and deployment environments.
Video Intelligence & Surveillance Providers
Learn how persistent data protection can support secure handling of video, imagery, and AI-enriched information across surveillance, investigation, and intelligence workflows.
CISOs & Cybersecurity Professionals
Examine how file-level encryption, policy-based access, monitoring, and audit records can strengthen data security beyond traditional infrastructure boundaries.
Public Safety & Evidence Management Leaders
Understand how controlled access, chain-of-custody records, and persistent protection can support sensitive information workflows in public safety, investigations, and regulated environments.
