One intelligent control planefor your cloud and AI environment
Nivan continuously understands your cloud and AI environment, identifies what needs attention, quantifies the impact, recommends what to do, and — with approval — can execute the action.
Six pillars of cloud and AI intelligence
Nivan continuously understands your environment, identifies what needs attention, quantifies the impact, and recommends what to do next.
Cloud FinOps
Know where your cloud money is going.
- Cost visibility, allocation, and trends
- Cost anomaly detection and forecasting
- Resource utilization and idle resource detection
- Rightsizing recommendations
- Reserved Instance and Savings Plans opportunities
- Storage and network/data-transfer cost analysis
- Tagging governance
Example NIVA insight
EC2 spend increased 27% this month. Three instances account for 68% of the increase and average less than 10% CPU utilization. Estimated savings: $1,840/month.
AI / LLM FinOps
AI is becoming a new infrastructure bill.
- Track spend by provider, model, application, and environment
- Requests, input/output tokens, and cost per request
- Usage trends and model utilization
- Budgets and spend forecasts
- Model routing and cost/quality tradeoff recommendations
Example NIVA insight
AI spend increased 31% this month. 64% of requests are using a premium model. NIVA identified a potential $1,100/month optimization opportunity by routing appropriate workloads to lower-cost models.
Designed for AWS Bedrock, OpenAI, Anthropic, and Google/Gemini usage data where available.
Govern AI SpendCloud Security
Find the risks that matter.
- Public resources and open security groups
- Excessive IAM permissions and missing MFA
- Encryption and logging gaps
- Configuration drift and missing backups
- Public databases and security findings
Example NIVA finding
High Risk — Database is publicly accessible. Recommended action: restrict access to the application security group. NIVA confidence: High.
Every finding follows Risk → Impact → Recommendation → Approval → Remediation → Evidence.
Find Your RisksCloud Reliability
Know what could break before it becomes an incident.
- Resource health and capacity analysis
- Single points of failure and availability-zone risks
- Backup coverage and monitoring gaps
- Certificate expiration and resource saturation
- Configuration drift detection
Example NIVA insight
RDS has operated in a single-AZ configuration for 74 days. NIVA recommends evaluating Multi-AZ for this production workload.
Cloud Hygiene
Clean up the cloud you forgot about.
- Idle resources and stopped instances
- Unattached storage and unused IP addresses
- Unused load balancers and old snapshots
- Orphaned resources and missing tags
- Configuration inconsistencies
82 / 100
Cloud Hygiene Score
$3,420
Potential savings / month
Architecture Intelligence
Your architecture should evolve with your business.
- Continuous recommendations across cost, performance, and reliability
- Security and scalability improvements
- Operational complexity reduction
- Recommendations grounded in your observed telemetry
Example NIVA recommendation
Based on observed utilization over the last 30 days, NIVA identified an opportunity to consolidate two underutilized services and simplify this workload’s architecture.
Turn intelligence into operations.
Findings don't stop at a dashboard. Nivan connects every insight to an operational workflow — so recommendations become tracked, approved, and verified actions.
- Incidents and service requests
- Knowledge base and service catalog
- Assets and change management
- Runbooks and AI-assisted investigation
- AI-assisted, human-approved remediation
- Finding → Ticket → Approval → Action → Verification → Audit trail
Intelligence-to-operations flow
Meet NIVA
Your AI cloud operations analyst.
NIVA is the intelligence layer inside Nivan. It investigates issues, analyzes spend, correlates events across your environment, and explains what matters — in plain language, grounded in your actual telemetry.
Example conversation
Why did AWS spend increase this month?
AWS spend increased 23%. 71% of the increase came from EC2 and NAT Gateway charges. I identified four likely contributors:
- 1.Three EC2 instances scaled up outside the autoscaling policy
- 2.NAT Gateway data processing doubled in us-east-1
- 3.Two dev environments left running over weekends
- 4.A new workload deployed without cost allocation tags
Recommendations
- Rightsize 3 EC2 instances — est. savings $1,840/mo
- Schedule dev environment shutdown — est. savings $620/mo
- Apply cost allocation tags to the new workload
AI recommends. You stay in control.
Nivan is not an uncontrolled autonomous agent. Every step from observation to verified outcome is governed, explainable, and auditable.
Potentially disruptive actions pause at Approve until a qualified person on your team authorizes them.
You Approve Execution
Potentially disruptive actions require explicit customer approval before anything executes in your environment.
Role-Based Permissions
Granular RBAC controls define exactly who can approve which actions and in which environments.
Every Action Audited
Complete audit trail of who approved what, when, and why. Immutable logs exportable to your SIEM or compliance tools.
Policy-Gated Automation
Actions execute only within defined policy boundaries. Guardrails prevent scope creep and unintended changes.
Explained Recommendations
Every recommendation includes the evidence, expected impact, and confidence level — so approvals are informed decisions.
Rollback and Stop Controls
Operators can halt execution mid-workflow and roll back changes. No runaway automation.
Built to minimize cloud access.
Nivan is designed to minimize the permissions required to understand your environment.
Nivan's data ingestion architecture is designed to minimize broad read access by using customer-controlled data delivery wherever practical.
Least-privilege by design
Nivan requests only the access required for the capabilities you enable — read-only by default.
Customer-controlled delivery
Where practical, operational telemetry is delivered through pipelines you control — such as AWS Config, CloudTrail, and CUR exports to your own S3 buckets, or GCP asset and billing exports to your own GCS buckets.
Auditable access
Every read and every action is logged. You can review exactly what Nivan accessed and when.
Preferred data architecture
Where customer-controlled delivery is not practical for a given capability, Nivan uses scoped, read-only API access — never write access unless you explicitly enable governed remediation.
AWS + GCP today. Designed for multi-cloud.
Nivan normalizes cost, configuration, and operational data from each cloud into one common intelligence layer — so insights and governance work the same way everywhere.
AWS
GCP
Nivan Common Intelligence Layer
One model for cost, security, reliability, hygiene, and architecture — regardless of which cloud the data came from.
See what Nivan finds in your environment.
Start with a Cloud Intelligence Assessment — prioritized cost, security, reliability, and architecture findings with estimated impact.