Upcoming Workshop: Citizen Developer Agentic Software Factory on AWS
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AI made software fast to build. Running it safely is the hard part.
Running software safely, compliantly, and cost-effectively in your cloud is still where the risk and the money are.
01
Risk is accumulating
Every developer, and now every AI agent, can create cloud infrastructure in minutes. Most of it is never checked against your security or compliance standards before it goes live.
02
Experts are the bottleneck
Senior platform and security engineers spend their days approving tickets and cleaning up after the fact. When changes are blocked, developers and agents go around your process.
03
The bill keeps growing
Homegrown platforms cost seven figures and are never finished. Cloud waste is rising again with AI workloads, and most cloud breaches still trace back to basic mistakes.
The fix is to make the compliant path the fastest path, for people and for AI.
Four numbers your board already asks about
35% of engineering time goes to infrastructure work
Only 16% of developer time is spent writing code. The rest is pipelines, deployments, and monitoring, which a governed platform absorbs. Source: IDC, How Do Software Developers Spend Their Time? (2025).
29% of cloud spend is wasted
Waste is rising for the first time in five years, driven by AI workloads. When every deployment carries its own cost and owner, waste is visible where it starts. Source: Flexera 2026 State of the Cloud Report.
80% of cloud breaches trace back to basic mistakes
Misconfigurations, exposed secrets, and unpatched software cause most breaches. Policy at the point of creation stops them, and AI agents get the same controls as people. Source: Wiz Cloud Threat Retrospective 2026.
53% of internet traffic is bots
About 40% of bot traffic is malicious, and AI-driven bot attacks grew more than tenfold in a year. Delivery infrastructure inside your own network has a smaller attack surface, and Massdriver runs where you decide. Source: Thales 2026 Bad Bot Report.
Six controls your auditors will recognize
Every change to your cloud takes one governed path, whether it comes from a developer, a pipeline, or an AI agent. Nothing reaches production without the same checks, and everything that does is on the record.
- ✓Policy before anything is created. SOC 2, HIPAA, and CIS requirements are checked at design time, so misconfigurations do not ship.
- ✓Access that follows your organization. Permissions follow environment, team, data classification, and blast radius instead of each cloud provider’s permission model.
- ✓Safe places to test. Isolated, disposable copies of any environment let changes prove themselves against real conditions without touching production.
- ✓A complete audit trail. Every change is recorded, attributed to a person or an agent, and comparable to what came before, so auditors get evidence without tickets or reconstruction.
- ✓Cost you can see. Daily and monthly spend per service, team, and environment, attached to what generated it, with no separate FinOps tool or spreadsheet.
- ✓Inside your security boundary. Run the whole platform in your own network under your own controls. Your infrastructure definitions and state stay in your accounts.
AWS, Azure, GCP, and Kubernetes. Works with the infrastructure code you already have. Integrates with Checkov, Snyk, OPA, and Wiz.
How the controls map to your frameworks
Each row names a requirement, the Massdriver control that meets it, and the evidence an auditor can request.
| Framework | Requirement | How Massdriver meets it | Evidence produced |
|---|---|---|---|
| SOC 2 CC8.1 | Changes to infrastructure and software are authorized, tested, approved, and documented | Plan, propose, and deploy are separate permissioned steps; policy runs before deploy; every change is recorded | Per-change record with proposer, approver, plan diff, and policy results |
| SOC 2 CC6.1 / CC6.3 | Logical access restricted by role; least privilege | Attribute-based access control scoped to environment, team, and attributes your organization defines; AI agents hold Massdriver tokens, never cloud credentials | Token scope definitions; access log |
| SOC 2 CC7.2 | System components monitored; anomalies investigated | Live inventory of every provisioned resource with its owner and dependency graph | Queryable inventory export |
| PCI DSS Req 6 / Req 10 | Secure development lifecycle; log and monitor all access | Policy gate before deploy; attributable change log | Policy results per change; log export |
| NIST AI RMF Govern / Manage | Policies for AI system use; risks managed and documented | Agents constrained to the approved catalog; every agent action attributable and reversible | Agent action log |
| ISO/IEC 42001 | AI management system controls over AI-produced outputs | The same controls apply to AI-built and human-built infrastructure | Unified change record |
Results from customers in production
89% less time on infrastructure tasks
UniDoc cut time spent on infrastructure tasks by 89% after moving to Massdriver. Requests that waited in a queue are now self-service, inside policy.
25% lower monthly cloud bill
Every service and environment shows its cost next to its owner. One customer cut its monthly cloud bill by a quarter by rightsizing and retiring idle resources it could finally see.
Zero delivery pipelines to maintain
Deployment pipelines are created for each change and removed afterward, so there is nothing to patch and no team dedicated to keeping them running.
About one hour from idea to running application
In a one-hour session your team watches a plain-English request become a deployed, policy-compliant application in your cloud. Your existing infrastructure code carries forward as it is.
How an evaluation runs
A time-boxed evaluation with success criteria you define, run in your cloud under your controls. Nothing is rewritten or replaced, nothing leaves your accounts, and you can stop at any point and keep your infrastructure code.
01
Hour 1: Discovery
A one-hour working session with your platform and security leads. We map your cloud footprint, compliance scope, and current delivery path, then agree on the success and exit criteria for the evaluation.
02
Day 1: Your catalog
Within one business day you receive a catalog built for your environment: the services, environments, and guardrails your teams use, aligned to your policies.
03
Weeks 1–4: Proof in your cloud
Two weeks managed, or one month self-hosted inside your network. Your developers ship real workloads under the guardrails while your security team watches every change land on the audit trail, and you judge the results against your criteria.
04
From there: Production
A scoped rollout plan, security review support, and procurement on your terms, direct or through the AWS Marketplace. Your infrastructure code, state, and data stay in your accounts throughout.
Cost and pricing
Build or buy
A homegrown developer platform is a multi-year project that keeps a team of platform engineers on it after launch. The line-by-line comparison, and a calculator for your own numbers, are on our build vs. buy page.
Pricing
Seat-based, with a free trial to start, and bought direct or through the AWS Marketplace. Enterprise plans add self-hosting, a dedicated customer success manager, and custom SLAs. Current plans are on our pricing page.
Get the PDF
Fill in the form to download the executive brief as a PDF for your team.