Zenith reads your Amazon GuardDuty findings from AWS and hands you the fix — Terraform, CLI, or a full Jupyter Notebook — ready to review and run. You approve everything.
Detection is solved. Remediation is the bottleneck.
Zenith uses your Amazon GuardDuty findings, with AWS Security Hub and AWS Config behind it.
An AI summary shows your posture and groups findings into remediation focus areas.
Run the generated code or notebook, with a full audit trail of what ran and who approved it.
Read the JSON, trace the resources, research the fix, write the code, hope it works.
Open the finding, review the generated fix, approve, run.
In internal pilots, teams cut time-to-remediation from days to minutes and raised closure rates on high-severity findings.
Root-cause explanation in plain language, plus the remediation as Terraform patches, AWS CLI commands, IAM diffs, or a Jupyter Notebook.
Findings correlated and grouped by remediation focus, so effort goes where posture actually moves.
Zenith recommends, never acts on its own. A safety layer validates against AWS Config, and every action leaves audit evidence for CIS, PCI DSS, and ISO 27001 reviews.
Zenith works on your side of the AWS Shared Responsibility Model — built for teams running production on AWS without a dedicated security engineer.
Billing goes through your existing AWS invoice — no new vendor onboarding, no separate procurement process.