AI-Security Posture Management (AI-SPM)
Infrastructure Blind Spots
Widespread data access turns everyday AI usage into a risk surface for unintended data exposure.
Training Data Exposure
Sensitive data such as PII, IP flows into training pipelines without visibility results in embedding secrets directly into models.
Model Interaction Risks
Prompt injections and sensitive outputs move freely with no detection, control, or audit trail.
Why Legacy Tools Fail
Legacy tools see infrastructure. They don’t understand AI behavior, so a malicious prompt looks just like a normal API call.
AI Infrastructure Hardening
Matters.AI autonomously scans the infrastructure handling your AI models to identify misconfigurations and security gaps, raising instant alerts for remediation.
Training Data Guardrails
The agent monitors data pipelines to ensure no sensitive PII, financial records, or IP is being fed into ML model training, preventing exposure at the source.
Understand Data Usage Across AI
Security teams lack visibility into how sensitive data is accessed and used with AI tools. Matters provides full context , what data is accessed, by whom, and how it is used across AI workflows.
Input/Output Monitoring
Matters.AI proactively monitors the live stream for malicious inputs (Prompt Injection) going into the AI and sensitive outputs coming out, intercepting risks in real-time.
Model Dependency Mapping
We visualize the full lineage of your AI ecosystem, showing exactly which datasets are touching which models and identifying the blast radius.
