Guardare for Example Use Case

Guardare’s risk model is powered by its AI engine. It ingests normalized signals from all connected integrations, then applies proprietary algorithms that weigh severity, exploitability, and business impact. The model is dynamic - it continuously updates as new vulnerabilities, device states, and user behaviors are ingested. This ensures Guardare’s prioritized recommendations always reflect the most current and actionable view of risk in your environment.

Yes. Guardare automatically correlates identity and device data with vulnerability, endpoint, and application information. This means the platform can highlight where sensitive or regulated data (PII, PHI, PCI) may reside and which devices or systems hold that data. Paired with integrations into DLP, endpoint security, and cloud storage systems, Guardare maps not just the existence of sensitive data but its context in relation to the broader risk landscape.