One agent.
All three clouds.
Continuous policy compliance, cost anomaly detection, and runbook-driven remediation across AWS, Azure, and GCP — without a separate tool for each cloud.
Why cloud environments drift faster than teams can watch them
Cloud costs creep up and nobody notices until month-end
Unused instances, over-provisioned RDS, orphaned snapshots, forgotten dev environments running 24/7. Nobody's watching because watching takes time — and there's always something more urgent.
Security groups and IAM policies drift
Permissive rules added for a one-off task and never removed. IAM policies that have grown by accretion over years. By the time you audit, the blast radius is enormous.
Incident response starts with a 10-minute context-gathering phase
Something's down. Before your engineer can fix it, they're pulling logs, checking dashboards, asking who deployed what. That 10 minutes at 2am is avoidable.
Compliance checks are point-in-time, not continuous
You run a compliance scan, fix the findings, and the report goes stale the next day when someone changes a config. Continuous posture requires continuous monitoring — which requires someone's time.
From continuous monitoring to defined remediation
Continuous posture monitoring
The agent runs continuously against your cloud accounts, evaluating resource configuration against your defined policies — tagging standards, security group rules, public bucket exposure, unused resource thresholds. Not a scheduled scan. Continuous.
Drift detected and classified
When a resource falls out of policy — an overly permissive rule added, a new untagged resource, a cost threshold breached — it's classified by severity and policy class. Low-severity drift queued for daily review. High-severity alerts fired immediately.
Runbook-driven remediation
Each policy violation has an associated runbook — a defined sequence of remediation steps. The agent can execute the runbook automatically for low-risk violations (add a missing tag, stop a flagged instance) or propose it for human approval before execution.
Change logged and reported
Every policy evaluation, every alert, every remediation action — written to an immutable change log. Compliance reports generated from the log, not reconstructed from memory.
What the agent monitors and manages
Resource cost optimisation
Flags unused instances, over-provisioned resources, and orphaned assets across all three clouds. Savings recommendations with one-click approval.
Security group auditing
Continuously evaluates security group and firewall rules against your policy. Overly permissive rules flagged and remediated via defined runbook.
IAM policy review
Detects overprivileged roles, unused service accounts, and permissions that violate least-privilege. Remediation proposals generated per finding.
Tagging compliance
Finds untagged or incorrectly tagged resources. Auto-tags or queues for human review based on your tagging policy.
Public exposure detection
Flags publicly accessible storage buckets, databases, and compute resources not in your allowlist.
Cost anomaly alerting
Detects spend spikes against baselines by service and account. Fires alerts before the bill lands, not after.
Incident context briefing
When an incident fires, the agent assembles a structured brief: affected resources, recent changes, open policy violations, on-call owner.
Multi-cloud unified view
Policy compliance, cost, and change events from AWS, Azure, and GCP in a single reporting surface — without separate tools for each cloud.
Connects to your cloud accounts and ops stack
Remediations are logged back to ServiceNow or Jira. Alerts fire to Slack, Teams, or PagerDuty. Your team's existing incident workflow doesn't change.
View all integrations →
GCP
Slack
PagerDuty
Jira
MS Teams
ServiceNowSee it run against your cloud accounts
We'll connect to a read-only view of your AWS, Azure, or GCP account and show you what the policy evaluation and cost analysis surfaces — live, in your environment.