AI-powered data breach detection and response for endpoints
Point Wild builds endpoint security around Lat61, an agentic AI engine trained on signals from 25M protected endpoints and over 1B daily events. The stack—PyTorch, TensorFlow, LangChain, Hugging Face, RAG—reflects a machine-learning-first architecture, while active projects around macOS SDK development and real-time malware scanning show a platform expanding across consumer and enterprise endpoints. Post-merger integration appears active (listed as both a project and pain point), suggesting recent M&A activity reshaping the org.
Point Wild delivers data breach resilience and response for consumer and enterprise endpoints using Lat61, an AI threat-protection engine. The platform ingests signals from a large installed base (25M endpoints, 1B+ daily events) to surface breach intelligence and enable rapid remediation. The company operates across endpoint protection, threat detection, and compliance surfaces. Hiring spans engineering, security, and data functions across the US and India, with accelerating velocity suggesting scaling of core product and platform capabilities.
Lat61 is Point Wild's agentic AI threat-protection engine, trained on data from 25 million protected endpoints and over 1 billion daily events to detect and respond to data breaches.
PyTorch, TensorFlow, LangChain, Hugging Face, RAG, AWS, Azure, GCP. Also uses Workday, Google Workspace, Drata, and Vanta for internal operations and compliance.
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