Axiom scans your AWS infrastructure, identifies $12K+/mo in savings, hardens security, and generates Terraform execution plans — with approval gates, rollback strategies, and an immutable audit trail.
Every scan executes a 12-step cycle — from infrastructure discovery through execution verification to outcome learning. The loop runs continuously on schedule.
Link AWS, Azure, or GCP with read-only IAM roles
Deep infrastructure inventory across all regions
Surface cost waste, security gaps, and drift
AI-native analysis of risk, impact, and priority
Generate phased execution plans with rollback
Produce Terraform, CLI scripts, or SDK actions
Human-in-the-loop approval with full context
Execute approved changes with pre-verified safety
Post-apply verification confirms expected state
Immutable audit trail with before/after state
Continuous drift detection against known baselines
Outcome memory informs future recommendations
Every capability is built on real cloud SDK data — scanning, reasoning, and executing against live infrastructure with full safety guarantees.
Deep infrastructure intelligence
Full resource inventory across regions and services. Cost signals, security posture, resilience scoring, and resource lifecycle analysis — generated from real cloud SDK data, not shallow metadata.
Every action is reversible
Before any change is applied, Axiom runs prechecks, simulates dry runs, estimates blast radius, and generates rollback plans. Nothing executes without verified safety and explicit approval.
Not just what to fix — what to fix first
Findings are ranked by a multi-signal priority model: severity, confidence, estimated savings, risk level, blast radius, and organizational preferences. Auto-fix candidates are separated from approval-required actions.
Know when infrastructure changes unexpectedly
Every scan compares current state against the previous baseline. Drift items are classified by category — configuration mutation, security regression, cost deviation, compliance violation — and persisted as findings with remediation guidance.
Axiom is designed so that autonomous operations never compromise governance, auditability, or human oversight.
Every infrastructure change requires explicit human approval. Scheduled scans never auto-apply. The agent never escalates its own autonomy.
Before/after state capture, timestamps, actor identity, and decision rationale for every action. Full chain of custody from finding to verification.
Pre-computed rollback plans for every action. State captured before execution. Verified after apply. Rollback instructions saved in the audit log.
The agent remembers what worked and what failed. Resources with prior failures are automatically downgraded from auto-fix to human review.
Organization-level preferences for risk tolerance, ignored resources, severity thresholds, and autopilot mode. Policies are applied before recommendations are generated.
Cloud connections use read-only IAM roles. Write access is scoped, temporary, and only activated during approved execution windows.
Scan, reason, plan, execute, verify, audit, monitor, and learn. Real SDK execution with rollback.
Infrastructure scanning and snapshot analysis live. Signal derivation and AI reasoning in development.
Infrastructure scanning and snapshot analysis live. Signal derivation and AI reasoning in development.
Configure daily or weekly scans per cloud account. The scheduler runs read-only scans, diffs against previous baselines, detects drift, emits notifications, and creates approval requests — governed automation: fully audited, never auto-applying, every mutation requires explicit human approval.
Watch Axiom scan an AWS account and surface findings in real time.
Connect a read-only IAM role. Axiom scans, reasons, and delivers cost savings, security findings, and an execution plan — before your coffee gets cold.