Protect sensitive signals
Encryption in transit and at rest, careful data handling, and minimization are central design considerations.
Built with enterprise security, privacy, access control, and auditability in mind. Explore the principles that guide GuardNex AI.
Encryption in transit and at rest, careful data handling, and minimization are central design considerations.
Design access around roles and least privilege. Separate the permissions used to read evidence from those used to perform response.
Preserve important evidence, recommendations, approvals, and outcomes to support investigation review and accountability.
Apply analyst review and approval policies to sensitive actions, with business impact considered before execution.
Design customer data paths and operational boundaries for appropriate isolation. Validate the actual deployment model with the team.
Agree on data categories, retention, deletion, access, and geographic requirements as part of your service arrangement.
AI can summarize evidence, suggest a next step, and draft a response plan. It can also be incomplete or wrong. Analysts should be able to inspect the supporting context, challenge the output, and make the final decision.
Discuss your proposed deployment, source permissions, administrative access, and boundaries between connected environments.
Discuss architectureReview data categories, processing instructions, service providers, retention, and deletion requirements.
Read data processing informationFollow our responsible disclosure guidance for reporting a suspected issue without accessing or exposing other people’s data.
Read disclosure guidanceBring your security stack. We’ll explore how GuardNex AI can support the way your team detects, investigates, and responds.