AI-first cloud decision governance

Govern every change AI agents make to your cloud.

Copilot, Amazon Q, Terraform, auto-remediation bots — they’re all changing your cloud right now. CloudEVA attributes every change to who, or what, made it, and turns it into a reviewed, recorded decision.

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Read-only access·Encrypted·No data used in LLM training
650+Cloud setups via Rapyder
25+Years cloud expertise
100%Decision coverage
Eva · Decision Ledger Live
RDS instance resized — db.r6g.2xlarge
actor Terraform · +$1,240/mo
Reviewed
IAM policy widened — s3:* on prod
actor Amazon Q · risk: high
Flagged
Auto-scale group expanded — +6 nodes
actor Copilot · +$380/mo
Recorded
Security group opened — port 22
actor Human · j.rao · owner assigned
Decision logged

The problem

Cloud tools show data. Nobody owns the decision.

28–35% of cloud spend is wasted — not for lack of data, but because no one owns the call.

28–35%

Cloud spend wasted, even with full data and monitoring in place.

73%

Infrastructure changes that leave no governance record behind.

14 days

Average lag between a signal appearing and a decision being made.

500+

Signals a week — noise that becomes alert fatigue, not insight.

Now AI agents are changing your cloud too — faster than any human can review. When something breaks, nobody knows who decided what, or why.

How it works

Meet Eva, your AI cloud advisor.

Eva doesn’t replace your cloud tools. She reads their signals and turns them into decisions — through three stages.

Eva · change review
IAM policy widened — s3:* on prod
actor Amazon Q approved by · k.menon
Explain
Grants full S3 access to the prod role. Touches 3 buckets holding customer data.
Verify
Deviates from least-privilege policy SEC-04. No owner on record.
Advise
RECOMMENDED  Scope to 3 named bucketsrisk ↓ high→low
Keep as-is, assign ownerrisk: high
STEP 01

Explain

What changed, and who or what changed it — human, IaC, or AI agent. Cost and risk impact, in plain language.

STEP 02

Verify

Whether the change was expected. Cross-checked against your governance policies; deviations and ownership gaps surfaced before they become incidents.

STEP 03

Advise

Options with projected cost and risk trade-offs. You decide. The decision is recorded with owner, rationale, and timestamp.

The difference

The first platform built to govern the changes AI agents make.

Every actor classified, every change attributed, every decision tracked — whether a human, a pipeline, or an agent made the move.

· Copilot · Amazon Q · Terraform · Auto-scale · Remediation bots · Human operators
AWS Azure GCP On-prem Eva decision intelligence

Proof

Built from 650+ enterprise cloud engagements through Rapyder Cloud Solutions.

14d2h
Decision lag
73%0%
Ungoverned changes
2wk5min
MBR prep time
100%
Decision coverage

Security & trust

Built on a read-only trust architecture.

Read-only cloud access
Encrypted in transit & at rest
SOC 2 Type II (in progress)
No data used in LLM training
SHA-256 audit trail
Platform hosted: India + US

Questions

The things teams ask first.

Does CloudEVA make changes in my cloud?+
No. The trial is read-only — CloudEVA reads signals and attributes change, but nothing is ever executed silently in your account.
Is this just another monitoring tool?+
No. CloudEVA is a decision and accountability layer that sits above your existing tools — it consumes their signals, it doesn’t replace your observability or security stack.
Is it autonomous AI?+
It’s agentic, not autonomous. AI provides context and options; humans stay accountable; policies define what can happen; and every decision is recorded and auditable.

See every ungoverned change in your cloud — free.

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Read-only access·Encrypted·No data used in LLM training