Why Iterate for AI Development

Give developers AI speed without giving away your code.

Developers want AI assistance, but enterprise leaders need code privacy, security review, compliance visibility, and control. Iterate helps teams use AI coding tools in a private, observable, security-aware development environment.
Launch a Secure AI Development Pilot
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"Developers want AI coding tools, but we cannot expose proprietary code, create compliance risk, or ship insecure generated code."

AI coding needs enterprise controls.

Developer productivity gains are real, but so are the risks around proprietary source code, generated vulnerabilities, policy gaps, and unmanaged tool usage.

IP exposure

Proprietary code and architecture details may leave approved environments.

Generated-code risk

AI can introduce insecure patterns without security-aware review.

Large-codebase limits

Many assistants struggle when enterprise repositories are huge and interconnected.

Compliance visibility

Security and platform teams need evidence of how AI is being used.

Budget control

AI coding usage can grow without team-level monitoring and spend limits.
Why Iterate

Secure AI assistance for enterprise codebases.

Iterate combines AgentOne and AgentWatch to give development teams AI speed while preserving visibility, control, and security discipline.

Keep code controlled

Deploy in private, on-prem, VPC, or approved environments based on enterprise requirements.

Work with real codebases

Provide context for large repositories and complex software systems.

Check as you build

Include security scanning and OWASP-aligned checks in the development workflow.

Govern team usage

Monitor adoption, budget, tokens, activity, and audit trails across teams.
Capabilities

Secure development capabilities

Build, orchestrate, observe, and govern production AI agents across enterprise systems, models, and deployment environments.

Private AI coding environment
On-prem, VPC, or controlled deployment options
Large-codebase understanding and repository context
Code generation, refactoring, testing, and architecture assistance
OWASP-aligned security checks
Security scanning and vulnerability-oriented review
Team-level observability and usage analytics
Token and budget controls
Audit trails for AI-assisted development activity
Integration with governance patterns through AgentWatch
Product Fit

Relevant Iterate products

Combine Iterate products into a governance architecture that gives teams AI access while preserving visibility, control, and accountability.

AgentOne

Enterprise AI coding assistant for large codebases, secure development workflows, and developer productivity.

AgentWatch

Governance, spend, usage visibility, and auditability for AI-assisted development activity.

Business Value

Control that supports adoption.

Enterprise AI governance should reduce risk without forcing teams back into experimentation silos.

Protect proprietary code and intellectual property.

Reduce generated-code security risk.

Improve developer productivity without abandoning enterprise control.

Support security and compliance standards.

Maintain visibility into AI coding usage.

Govern AI development workflows by team, project, and policy.

Secure AI Development Pilot

Prove AI coding value in a controlled environment.

Iterate helps your team run a focused pilot that evaluates developer productivity, code privacy, security checks, governance needs, and enterprise rollout requirements.
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Pilot use case and repository selection
Security and privacy requirements map
AgentOne setup and workflow configuration
Usage, risk, and productivity measurement plan
Rollout recommendation for broader development teams
FAQ

Common buyer questions

Can AI coding tools be used without exposing proprietary code?
The pilot is designed around private or controlled deployment patterns so enterprise code can remain inside approved environments.
Does this replace existing developer tools?
No. It should fit into existing development workflows, repositories, IDE patterns, and security review processes.
How does security fit into the workflow?
Security checks can be built into code generation, review, and remediation workflows so risks are addressed earlier.
Who is the buyer for this page?
CTO, CISO, VP engineering, platform engineering, application security, compliance, and developer productivity leaders.