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Built product for Agent Runtime security and control
Hello I am a solo founder and built an app that runs locally and sits between AI agents and their tools, scans every call, blocks threats, logs everything. SecureVector performs Threat scanning, tamper-evident tool audit logs, LLM cost tracking, and SIEM forwarding (Splunk, Datadog, Sentinel, any webhook). Runs locally, open-source, and your data never leaves your machine. Cloud version is optional and will help B2B to get consolidated view of agent activity.
SecureVector addresses a critical and timely bottleneck in enterprise AI adoption—agent security and tool-use governance—with a well-aligned local-first architecture. However, the venture is currently a high-risk solo project with no disclosed traction, user base, or team pedigree, making it a speculative early-stage bet.