Skip to content
Get started

— AI Security Platform

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.

Request demoLearn more

Supporting Leading AI Innovators & More

— 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.

starseer_lifecycle_abstract

Interpretability-grounded detection

Starseer 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.

core differentiator

Output monitoring alone

Tools 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.

industry baseline

Pre-deployment through runtime

Model Validation validates that approved models are only being used. AI-DE engineers the detections that run at runtime. AI-EDR runs those detections against live AI endpoints and responds. The three products cover the full surface — no handoff gaps between them.

platform vision

— Our Solutions

Validated, optimized, and trusted AI.

Runtime Assurance by Design

AI systems must be safe and predictable in operation, not just compliant on paper. Starseer is built to assure AI behavior continuously in real-world, autonomous, and edge environments.

Behavioral Transparency

Understanding why AI systems act is essential for trust. Starseer delivers deep model and behavioral understanding to expose reasoning, decisions, and system-level behavior, not just metrics.

Detection Engineering First

Security, safety, and reliability start with detections that are designed, tested, and improved across the AI lifecycle. Starseer treats detection engineering as a core discipline, not an after thought.

Screenshot 2026-02-26 at 10.25.39 AM

AI Model Validation

Most AI security failures start before deployment. Model Validation 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 more
starseer-runtime-monitoring-dark

AI Runtime Monitoring

Continuously establish behavioral baselines, profile activations, and run adaptive detections to identify drift, anomalies, and unsafe behavior before they impact real-world systems.

Explore more
starseer-incident-response-dark (1)

Incident Response & Root Cause Analysis

Enable trusted AI operation through incident response, forensic root-cause analysis, ongoing detection tuning, and comprehensive evidence and audit trails.

Explore more

Proven ROI. Quantified.

40%+
AI Risk Reduction (Quantified Exposure Reduction)
55%
AI Deployment Acceleration (Time-to-Production)
80%
Incident Cost Avoidance (AI-Specific Breach Containment)

Elevate and protect your business today.

Get in touch