Stop AI Threats
at the Endpoint.
Every model and agent in your environment is an endpoint. AI-EDR gives your security team full telemetry, detection coverage, and automated response — built for the way AI systems actually operate.
— What Is AI-EDR
AI-native detection and response,
built for how models actually behave.
Every deployed model and agent is an endpoint. Unlike servers or workstations, AI endpoints operate probabilistically, reasoning, deciding, and acting through inference chains no traditional EDR can instrument.
AI-EDR builds behavioral baselines from how models actually operate: output distributions, tool invocation patterns, latency signatures, data access behavior. It monitors continuously and alerts on meaningful deviation from those baselines.
AI threats don't produce OS-level signals. A backdoored model activates only when triggered. A prompt injection arrives as a normal message. Behavioral drift is gradual and silent. Catching these threats requires detection at the model level — in real time, with full inference-chain visibility.
.svg "Starseer AI-DE Detections")
— Capabilities
Everything a security team needs
for AI endpoints.
Behavioral Baseline Profiling
Builds AI-native baselines on output distributions, latency patterns, data access, and tool invocation frequency. Alerts on statistically meaningful deviations, not just rule-based thresholds.
Adversarial Activity Detection
Identifies prompt injection, agent hijacking, LLMjacking, unauthorized tool use, and covert agentic workflows as they occur — before business impact.
Automated Containment
Initiates throttling, isolation, or suspension within milliseconds of a confirmed threat. Preserves forensic state for investigation without disrupting adjacent systems.
Automated Response & Remediation
When unsafe behavior is detected, Starseer triggers automated containment, rollback, and retraining workflows — preserving system integrity while generating audit-ready evidence for governance and compliance.
Incident Response & Root Cause Analysis
Deep, model-aware root cause analysis tracing AI incidents back to the exact model, data, or decision pathway that caused them — giving investigators the context they need to close incidents confidently.
Forensic Logging & Compliance Evidence
Generates continuous audit trails, behavioral reports, and risk assessments aligned to MITRE ATLAS, NIST AI RMF, ISO 42001, and sector regulations. Every detected incident produces machine-readable evidence for investigators, regulators, and auditors.
— Why Traditional EDR Falls Short
Traditional security tools can't see inside the model.
Blind to prompt flows
Traditional EDR sees file I/O and network calls — not what a model was asked, why it took an action, or how it reasoned to that decision. The entire inference chain is invisible.
No inference chain visibility
Cannot inspect reasoning paths, tool invocations, or agentic decision sequences. Multi-step agent workflows are a complete black box from a detection standpoint.
Semantic drift is invisible
Behavioral baselines are built on binary process behavior, not probabilistic AI output patterns. Gradual semantic degradation never registers as an anomaly in any OS-level signal.
Can't detect prompt injection
Adversarial prompt manipulation doesn't trigger OS-level signals. It arrives as a normal user message — completely invisible to any tool that isn't inspecting model inputs at runtime.
— The Results
What teams using AI-EDR are achieving.
94%
AI endpoint coverage rate across deployed models and agents
300%
Increase in threat detection rate versus traditional EDR tooling
47%
Reduction in mean time to contain AI security incidents
"We had no way to see what our agents were actually doing between request and response. AI-EDR gave us the inference-chain visibility that closed a gap nothing else could touch."
— Enterprise AI Security Team
— Full Capabilities
Unlock powerful AI runtime assurance
across our all-in-one platform.
Decision Path Monitoring
Tracks agent reasoning chains, prompt flows, and tool invocations to identify abnormal or manipulated execution sequences before they cause impact.
Behavioral Baseline Modeling
Establishes normal operating patterns for models and agents to detect drift, misuse, and emerging risks against statistically meaningful AI-native baselines.
Adversarial Activity Detection
Identifies agent hijacking, prompt injection, LLMjacking, and covert automation workflows in real time — before business or security impact occurs.
Unauthorized Access & Data Flow Monitoring
Detects unsafe data access, exfiltration attempts, and policy violations across AI pipelines and agentic workflows in real time.
Risk Scoring & Prioritization
Continuously assesses operational and security risk to focus response on the highest-impact threats, reducing alert fatigue for AI security teams.
Automated Containment Actions
Initiates throttling, isolation, suspension, or rollback within milliseconds when unsafe behavior is detected — without disrupting adjacent systems.
Incident Response & Recovery
Orchestrates remediation, retraining, and validation processes to restore safe operations quickly — with full audit trails for every response action taken.
Forensic Logging & Audit Evidence
Preserves detailed execution records to support investigations, compliance, and regulatory reporting. Aligned to MITRE ATLAS, NIST AI RMF, and ISO 42001.
— Frequently Asked Questions
Common questions about AI-EDR.
How is AI-EDR different from traditional EDR or SIEM?
Can we detect when attackers or insiders are abusing our AI systems?
Yes. Starseer deploys runtime detectors that identify agent hijacking, prompt injection, LLMjacking, unauthorized integrations, and covert workflows, enabling early intervention before business or security impact occurs.
What does "enrolling an AI endpoint" look like in practice?
Can we threat-hunt across historical AI activity?
How do we optimize performance and cost without increasing risk?
Starseer monitors latency, throughput, and resource consumption alongside behavioral risk, enabling teams to safely tune models, manage token usage, and optimize infrastructure without compromising security or reliability.
— Get Started
Your AI endpoints are live.
Are they protected?
Start your free trial and see what's already happening inside your AI environment — before someone else shows you.