AIFog finds the waste and the security risks across your clouds, drafts the fix, and routes it through one policy gate you approve. Cost and risk are scored as a single decision, savings are measured against the bill, and every step is on the audit trail.
Recorded on the live platform in sample-data mode. The figures are illustrative; the workflow is the one your team will use.
Rightsizing a VM is table stakes. The real waste hides in PaaS, serverless, storage, data pipelines and AI, where each service bills on meters an instance scanner never sees. AIFog reads spend at that level across Azure, AWS and GCP and turns each finding into a specific, gated fix.
The gate scores cost and risk as one decision. Autopilot drafts the fix and can only execute through that gate, on your approval. The clouds' own advisors feed in as sensors, deduped into one view. Everything else on the platform runs through the same loop.
Agents find waste and misconfigurations, draft the fix and route it through the gate. On your approval they execute, then verify the saving against the bill. A closed loop, not a chatbot.
A policy gate that scores every proposed change for security and cost, then blocks, flags or allows it before it reaches production. It is what makes agentic action safe to switch on.
Every dollar across AWS, Azure, GCP, Kubernetes and Databricks. Allocation, unit economics and AI spend, reconciled to the provider bill with a trust score finance can stand behind.
Rightsizing, idle and orphan discovery down to abandoned key vaults and idle HSM pools, plus commitment planning. Savings are tracked as realized, not estimated, and each cloud's own advisor is folded into one list.
Every recommendation carries its evidence: utilization provenance, blast radius, the policy that applies and your measured realization rate. When an owner pushes back, the agent answers from that evidence, or concedes and offers a smaller, reversible step. Budgets, alerts and chargeback reporting round it out.
Ask anything about spend, run investigations and get executive briefings grounded in your data. Headline figures come from a reviewed metric layer, not SQL a model improvises, in your billing currency as of the last settled day.
Connections are read-only to scan and remediation is opt-in. SSO with enforced MFA, seven scoped roles, row-level tenant isolation, credentials encrypted in a key vault, and a private-by-default platform with no public data plane. ISO/IEC 27001:2022 certified, with SOC 2 controls mapped to the same evidence. Trust Center →
CSPM tells you what is already broken. AIFog's gate stops a risky change at deploy time, scoring security and cost in one decision.
AWS, Azure, GCP and Kubernetes. Curated from CIS Benchmarks, NIST, AWS Well-Architected and the FinOps Foundation.
Every proposed action passes through the same Prevent gate, waits for a human, executes, and reports savings measured from the bill rather than estimated.
Connect read-only and the first screen already answers the two questions nobody can answer today: what am I wasting, and what is actually dangerous.
Every resource as a node. Size is spend, colour is risk, edges are blast radius. The expensive thing that is also exposed stops hiding between two tools.
Only about 6% of CVEs are ever exploited. AIFog fuses EPSS probability and the CISA KEV catalog with blast radius and cost, so the few that matter surface first.
Filter and report your controls by the obligations that matter, from federal to healthcare to payments. About 110 framework guardrails ship built in and re-sync as the benchmarks change. AIFog maps your controls for reporting; it is not an auditor or a certification body.
| Control domain | CIS | SOC 2 | NIST 800-53 | ISO 27001 | PCI-DSS | HIPAA |
|---|---|---|---|---|---|---|
| Identity & access | ||||||
| Network exposure | ||||||
| Data protection | ||||||
| Logging & audit | ||||||
| AI posture |
Framework names denote control coverage for your reporting, not certifications held by AIFog.
Link your cloud accounts, audit streams and CI/CD in minutes. AIFog verifies each connection live against AWS STS, Azure ARM and GCP IAM.
Unified cost, usage, and posture across every cloud. Unit economics, anomalies, and optimization opportunities surface automatically.
Turn on guardrails to block waste and misconfigurations at the gate, then let Autopilot draft and execute the fixes, with verified savings and a full audit trail.
AIFog is founder-led and self-funded, so there is no borrowed logo wall. We are onboarding design partners and building for the teams who feel the cost-versus-risk split most. Read the F.O.G vision →
The things teams ask us before they connect a cloud account.
Explore the live demo: the Prevent gate, Autopilot, the cost and risk graph and forecasting, populated with realistic multi-cloud data.
Screens and figures on this page are illustrative sample data, not customer results.
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