As a physical security startup building an AI Operator, we understand the importance of selecting the right foundational AI model. Our product analyzes security camera feeds and executes standard operating procedures (SOPs) based on detected threats, requiring sophisticated analysis capabilities and enterprise-grade security. After a rigorous and comprehensive evaluation, we chose Anthropic's Claude as our core LLM.
Here's why.
Performance and Scale
Claude's efficiency-to-cost ratio immediately stood out. When processing thousands of video streams and running continuous threat analysis, this efficiency translates directly to our ability to offer competitive pricing while delivering high-quality, accurate analysis that our customers can rely on and afford.
Claude's large context window was another key factor. Security incidents often require extensive contextual understanding – from facility layouts to specific SOPs to historical patterns. The ability to provide this rich context to our model ensures more accurate threat assessment and response.
Enterprise Security Infrastructure
Anthropic's powerful security infrastructure was most critical to our decision. Their system architecture ensures complete data partitioning between customers and Anthropic, which is essential for our enterprises that handle sensitive security operations. Claude's Department of Defense clearance further validates its suitability for high-stakes security applications.
Partner Support
Anthropic demonstrated interest in video analysis use cases, and their responsive support team gave us confidence in building our core product on their infrastructure. Their team has provided valuable insights for optimizing video feed analysis and threat detection algorithms.
Results
Since implementing Claude, the HiveWatch® AI Operator has achieved near-instant response times to potential security threats while maintaining exceptionally high levels of analysis accuracy. This allows our customers to significantly expand their security coverage without proportional increases in headcount or training overhead, providing a sense of security and peace of mind.
The decision to build on Claude has proven fundamental to delivering on our promise of enabling scalable, reliable, and instant security responses for enterprise GSOCs.
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