
Builds AI interpretability tools for model-level security detection and runtime oversight

Builds AI interpretability tools for model-level security detection and runtime oversight
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Starseer is a cybersecurity company that applies AI interpretability research to the problem of securing AI systems. Founded in 2025 and based in Knoxville, Tennessee, the company was started by security practitioners, national lab researchers, and AI engineers who identified a gap between how AI systems are deployed and how security teams can investigate or monitor them internally. The company's approach is grounded in mechanistic interpretability, a field of research that examines what happens inside a model's layers and activations rather than relying solely on monitoring outputs. Starseer builds instrumentation intended to give security teams visibility into model internals, along with detection engineering and runtime oversight capabilities designed for AI systems specifically, rather than adapting traditional network or endpoint security tooling. Starseer's platform is described as providing model-level runtime detection and response, AI-native detection engineering, and pre-deployment model scanning. The stated goal is to give organizations deploying AI at scale a way to understand and monitor what is happening inside a model, rather than depending only on output-based monitoring. The company is advised by former NSA cybersecurity leadership and other figures with backgrounds in AI safety research and enterprise security. Starseer is backed by Gula Tech Adventures. Its target market includes organizations deploying AI models that need security visibility and incident response capabilities specific to AI/ML systems.