Building the future of AI agent security
Overall Progress: 70% Complete
Targeting Q3 2025 for General Availability
Completed foundational architecture for real-time behavioral monitoring, event correlation, and Trust Deficit Scoring engine.
CompleteCentral management plane built, tested, and validated. Includes event aggregation, ML-based anomaly detection, and response orchestration.
CompleteLightweight monitoring agents developed and tested. Sub-2MB memory footprint with kernel-level visibility via eBPF and system extensions.
CompleteWindows agent with ETW integration and kernel driver for deep system visibility. Ready for deployment pending certification.
CompleteComprehensive adversarial simulation framework for validating detection capabilities across all supported platforms.
CompleteActive client running SILO in AWS cloud SaaS environment. AI agents monitored on Kong Kubernetes infrastructure with Linux, macOS, and Windows endpoint coverage.
LiveNew wave adversarial attack simulator built and deployed in our security lab. Advanced threat emulation for continuous validation of detection capabilities.
CompleteWindows kernel driver submitted for Microsoft WHQL certification. Required for production deployment on Windows endpoints.
In ProgressLimited deployment with select enterprise partners for real-world validation and feedback integration.
UpcomingFull production release with enterprise support, SLA guarantees, and comprehensive documentation.
Upcoming