NerveCenter platform

Cloud security, cloud cost and AI spend. One AWS-native platform.

NerveCenter connects read-only to every AWS account you run. It finds what is exposed, explains what you spend, tracks what your AI costs per model and request, and ranks what to fix first. Ask it anything in plain language, or from your own AI tools.

Agentless and read-only · Hosted in the EU · MFA and company SSO · Your data isolated per organization

NerveCenter executive summary dashboard with monthly spend, forecast, budget used and commitment savings, plus a 12-month spend chart

One platform, not three tools

Security, FinOps and AI governance on one data model.

Most teams run a security scanner, a cost tool and a spreadsheet for AI spend, then try to join them by hand. NerveCenter reads your AWS accounts once and connects the answers. A finding knows what the resource costs. A cost spike knows what changed. An AI model knows its policy and its price per request.

600+

read-only security checks

25

security and compliance frameworks assessed

6

AI security and governance frameworks

EU

hosted and processed in the EU

Security × Cost

Know which risks sit on your most expensive infrastructure.

NerveCenter puts every open finding next to the spend of the service and account it affects. You see your spend at risk, how much of it sits on critical and high findings, and which services to fix first. Security and finance work from the same list.

  • Spend at risk, and spend on critical and high findings
  • Services ranked by spend and worst open severity
  • One view for the security lead and the FinOps lead
NerveCenter Security and Cost view showing spend at risk by service and severity

Security

Continuous, read-only security for every AWS account.

Scheduled and on-demand scans run more than 600 read-only checks across IAM, networking, storage, data, logging and AI services. Every finding has a severity, a plain-language explanation and the steps to fix it. Watch open findings over time and see your riskiest services at a glance.

  • Open findings by severity, and the trend day by day
  • Riskiest services ranked by total risk
  • Cloud inventory of every monitored resource
  • Finding lifecycle with fix-by dates, comments and CSV export
  • “Verify fix”: re-check one finding on demand
  • Alerts for new critical findings, missed fix-by dates and score drops
NerveCenter security overview with open findings by severity, findings over time, riskiest services and cloud inventory

Compliance

Audit evidence that stays current.

Each scan maps results to the controls of the frameworks you choose. Every framework shows passed, failed and not-evaluated controls, a posture rating, and the manual evidence still needed. Record manual controls with an owner and expiry date, and export any framework to CSV for your auditor.

  • CIS AWS Foundations v5.0
  • AWS Foundational Security Best Practices
  • AWS Well-Architected Security Pillar
  • ISO/IEC 27001:2022
  • SOC 2
  • NIST 800-53 Rev. 5
  • NIST CSF 2.0
  • PCI DSS v4.0
  • HIPAA
  • GDPR
  • NIS2
  • BSI C5
  • CSA CCM
  • …and more

NerveCenter shows how your AWS configuration measures against each framework. It does not certify compliance.

NerveCenter security frameworks assessed against CIS, AWS Foundational Security Best Practices and more, each with passed and failed controls

Attack paths

See how an attacker would reach your data.

NerveCenter traces paths from the internet through an entry point and an IAM role to a data store, and flags direct exposures such as public buckets and databases. Each path gets a risk score, so you see the few chains that lead somewhere, not a thousand equal-looking findings.

  • Ranked paths with a risk score
  • Internet → entry point → IAM role → data store
  • Each step links to the finding that opens it
NerveCenter attack path tracing a route from the internet through an entry point to a public storage bucket

FinOps

Cloud cost, explained, allocated and owned.

NerveCenter reads your AWS Cost and Usage Report (CUR 2.0) from your own bucket; raw billing files never leave it. Credits, discounts and refunds are shown apart from usage, so the numbers match your invoice. Executive dashboards answer the monthly review in one screen.

Explore

  • Cost explorer by service, account and tag, with saved views
  • Biggest changes versus the previous period
  • Kubernetes (EKS) split cost

Report

  • Executive dashboards built from widgets
  • Spend, forecast, commitment savings, top movers and savings available

Allocate

  • Showback by team, product or account
  • Tag coverage and untagged spend
  • Virtual tags with versioned rules; shared-cost pools; monthly statement e-mails

Control

  • Budgets with forecasts and alerts
  • Anomaly detection with an owner and a “what changed” view built from CloudTrail

Save

  • Savings from idle and oversized resources, Graviton, gp2→gp3, Compute Optimizer and Cost Optimization Hub
  • Savings Plans and Reserved Instance coverage
  • Each saving verified against the bill

Cost Plan

Price a Terraform plan or CloudFormation template before you deploy.

NerveCenter executive summary dashboard with monthly spend, forecast, budget used and commitment savings, plus a 12-month spend chart

FinOps for AI

Know what every model, token and GPU-hour costs.

NerveCenter reads Amazon Bedrock and SageMaker cost straight from your bill, with no code changes. It breaks AI spend down by model, token type, tag and resource. Connect your Bedrock invocation logs to see cost per request, team and application. NerveCenter never collects prompts or responses.

  • AI cost by model: input and output tokens, output share, cache hits, cross-region calls
  • Savings from prompt caching, measured
  • Recommendations: higher-priced cross-region calls, a pricier service tier, heavy input without caching, output-heavy workloads
  • GPU, Inferentia and Trainium cost by instance family, purchase type and resource
  • Idle SageMaker endpoints
  • Budgets and anomaly alerts for AI spend
NerveCenter AI costs view with Bedrock and SageMaker spend, cost per day and a per-model cost table
NerveCenter GPU and accelerator cost view by instance family, purchase type and resource
GPU and accelerators: what they cost, how they are bought, who runs them.

AI governance

Run AI your customers and regulators can trust.

Set policies for how your applications use AI models: which models, in which environments, at what volume and spend. NerveCenter checks usage against them, and an application in approve mode can ask for a decision before it runs. Every approval and denial is recorded with who decided and when.

  • AI policies in observe, warn or approve mode, with ready-made templates
  • Approval requests with approve and deny, plus a full decision history
  • Checks on Bedrock guardrails, logging and data flows
  • EU AI Act readiness view and MITRE ATLAS lens

Assessed against:

  • AWS AI Security Best Practices
  • OWASP Top 10 for LLM Applications (2025)
  • NIST AI RMF
  • ISO/IEC 42001

EU AI Act support is a readiness assessment, not a statement of compliance.

NerveCenter AI governance approvals showing pending, approved and denied model-usage requests

AI built in, and open to your AI

Ask your cloud a question, from NerveCenter or from the AI tools you already use.

Built-in assistant

  • Ask in plain language: “Which accounts have the most critical findings?” “Why did EC2 cost jump last week?”
  • Answers only from your organization's data, and never changes anything in your AWS accounts
  • Drafts the fix for a finding as CLI, Terraform or CloudFormation, for your engineers to review
  • Runs on Claude on Amazon Bedrock, in the EU

API and MCP: bring your own AI tools

  • A read-only MCP server connects Claude, ChatGPT, Cursor, VS Code and Claude Code to your live NerveCenter data
  • Each person connects with their own sign-in and sees only what their role and account access allow
  • A read-only REST API with scoped tokens for scripts, reports and internal tools
  • Owners decide which AI tools may connect, and every call is logged
ClaudeGeminiChatGPTCursorVS CodeClaude Code

# ask NerveCenter

What did we spend on Bedrock last week, and which critical findings are open in production?

Integrations

Alerts and work where your team already is.

  • Alerts to e-mail, Slack, Microsoft Teams and signed webhooks
  • Jira Cloud issues from findings, anomalies and savings opportunities
  • Weekly cost summary e-mail
  • Tasks & approvals inbox for owners
  • CSV exports of costs, compliance and showback

Trust

Agentless, read-only and secure by design.

  • Nothing to install. NerveCenter uses AWS APIs through an IAM role you deploy with our CloudFormation template or Terraform module. Connect one account or a whole AWS Organization.

  • Read-only by design. NerveCenter only reads. It never changes resources or buys commitments.

  • Confused-deputy protection. Every connection uses its own external ID, which you can rotate.

  • Your data stays separate. Every query is scoped to your organization and enforced by row-level security in the database.

  • Hosted in the EU. The platform and your data stay in the EU.

  • Secure sign-in. Authenticator-app MFA is required. Company single sign-on works with Microsoft Entra ID, Okta, Google Workspace or any SAML or OIDC provider, set up with our team.

  • Least privilege inside NerveCenter. Six roles, access limited to chosen AWS accounts, and an audit log of who did what.

  • No prompts collected. For AI workloads NerveCenter reads cost, usage and configuration, never prompts, responses or file contents.

Plans

Start with a free scan. Grow as you go.

Four plans, from a one-off Free Scan to Enterprise. We size each plan to your estate. Talk to us for a quote, or buy through AWS Marketplace once we're listed.

Free Scan

Starter

Growth

Enterprise

NerveCenter is one of seven CloudNerve products. See all products →

See NerveCenter on your own AWS data.

We connect NerveCenter read-only to one of your AWS accounts and walk you through security gaps, cost anomalies and AI spend, in 45 minutes.