Your AI endpoints
are live.
Most are unprotected.
Starseer is the AI security platform built on interpretability, giving security teams the model validation, detection engineering, and runtime protection to secure AI systems from the inside out.
& Lineage
& Response
Routing
Backed by & trusted by
Gula Tech Adventures
Lead Investor, $2M Seed Round
Rob Joyce
Advisor · Former Director, NSA Cybersecurity
Dr. Gary McGraw
Advisor · BIML Co-founder, 8 security books
SCYTHE
AI Threat Emulation & Security Control Validation Partner
OWASP GenAI Project
Sponsor & Contributing Member, 25,000+ practitioners
MITRE ATLAS
Aligned AI Adversarial Coverage
Supporting leading AI innovators & more
.svg)
.svg)
How exposed is your AI stack?
A 4-minute diagnostic, backed by IBM's 2025 breach research. See your risk posture, top-3 gaps, and a recommended next step, no email required.
— Our Approach
Interpretability is the method.
Security is the outcome.
Most AI security tools observe outputs and infer intent. We look inside. Here's what that difference means in practice.
Interpretability-grounded detection
Core differentiatorStarseer uses mechanistic interpretability, activation analysis, circuit tracing, and behavioral probing, to reveal what AI models truly learn and do at inference, detecting hidden threats like backdoors and covert capabilities invisible to traditional signals.
Output monitoring alone
Industry baselineTools that monitor AI outputs can detect anomalies in what a model says or does, but they're blind to why, and blind to threats that produce normal-looking outputs deliberately. Behavioral monitoring is necessary. It isn't sufficient.
Pre-deployment through runtime
Platform visionAI-Verify validates that approved models are the only ones running. AI-DE engineers the detections that fire at runtime. AI-EDR runs those detections against live endpoints and responds. Three products, zero handoff gaps, providing full coverage from source to production.
— Our Solutions
Validate. Detect. Route.
One platform.
Model Validation
Validate models before they ship using interpretability techniques that surface backdoors, hidden capabilities, and misaligned representations invisible to behavioral testing. Know what's inside.
Explore AI-Verify →Detection & Response
Engineer versioned behavioral detections and run them continuously at runtime. When a detection fires, AI-EDR contains the threat, preserves forensic state, and closes the loop back to tuning.
Explore AI-EDR →Intelligent Routing
Route every request to the right model based on policy, cost, compliance, and latency constraints. Automatic fallback, fleet-level cost control, and auditable routing decisions across your AI stack.
Explore AI-SIR →— AI-Verify
AI Model Validation
Most AI security failures start before deployment. AI-Verify uses interpretability techniques to examine what your models actually learned, surfacing backdoors, hidden capabilities, and misaligned representations that behavioral testing misses entirely. Know what's inside before it ships.
Explore AI-Verify— AI-SIR
Intelligent Routing
Not every request needs your most expensive model. AI-SIR routes each prompt to the right model based on policy, cost, compliance, and performance constraints, with automatic fallback when an endpoint degrades. One control plane for your entire AI fleet.
Explore AI-SIRLive routing decisions
Every route is policy-driven, auditable, and adjustable without redeploying your application code.
— AI-EDR
AI Detection & Response
Design versioned behavioral detections, test them against adversarial fixtures, deploy through CI/CD, and run them continuously at runtime. When a detection fires, AI-EDR contains the threat, preserves forensic state, and feeds findings back into detection tuning. Detection engineering and runtime response, unified.
Explore AI-EDR— The Results
Proven ROI. Quantified.
40%+
AI Risk Reduction
Quantified exposure reduction across AI deployments
55%
Deployment Acceleration
Faster time-to-production for validated AI systems
80%
Incident Cost Avoidance
AI-specific breach containment cost savings
— What Teams Are Saying
Trusted by teams deploying
AI in production.
"We went from a stalled frontier model experiment to a production-ready agentic system in 30 days, fully offline, 90% cheaper, and entirely on our terms."
VP of Product · Enterprise Software Company
"From proof-of-concept to production in one month. Offline. No frontier API dependencies. We didn't think that was possible."
Jim Webster
Director of Federal Programs · SCYTHE
"Starseer didn't just solve our deployment constraints. They picked a better model than we were using and shipped something we actually trust in production."
Head of Engineering · Enterprise Technology Company
— Get Started
Elevate and protect
your business today.
See what's already happening inside your AI environment, before someone else does.