Application Integrity
The New Standard for Quality in the AI Era
Continuous, measurable assurance that your software just works as intended – with the governance to operate at AI speed and scale.
The forces reshaping software quality
AI accelerates development. Existing quality assurance approaches cannot keep pace. The gap between what we build and what we can verify grows wider every day.
01
How you build software has forever transformed.
Human coding, AI augmentation, and autonomous generation are dramatically accelerating code velocity and abstraction.
02
Who uses your software has fundamentally changed.
Applications are no longer built just for humans, but for AI agents as end users – and your testing strategy must evolve accordingly.
03
Volume and velocity are crushing your controls.
Applications multiply faster than you can validate them. Every sprint widens the gap between deployment speed and quality assurance.
04
You can't see what AI is building.
Vibe coding and AI-generated code operate in black boxes. No system of record means no governance.
What is application integrity?
Application integrity is continuous, measurable assurance that your software works as intended — with the governance needed to operate at AI speed and scale.
As AI accelerates how software is built and behaves, application integrity closes the gap between intent and outcome, giving teams continuous confidence as systems become more dynamic and autonomous.
Your AI journey
Every organization adopts AI at a different pace. This model helps teams identify their current stage and understand how application integrity can strengthen visibility, governance, and assurance as AI-driven development matures.
Exploring
Early teams gain visibility into AI's impact on workflows, improving understanding of risks, behaviors, and where validation is most needed.
Experimenting
Governed pilots establish control as teams begin testing AI-assisted changes, ensuring experiments align with intended behavior and business expectations.
Scaling
Integrated validation keeps pace as AI-driven changes accelerate, providing reliable coverage and intent-aware insights across expanding systems and pipelines.
Optimizing
Continuous feedback strengthens accuracy and efficiency, allowing teams to refine AI models and workflows with clear behavioral and outcome-level assurance.
Leading
Autonomous assurance verifies intent and outcomes at scale, with application behavior validated by systems of record, enabling teams to confidently operate AI-driven development with strong governance and continuous integrity.
Levels of Autonomy
The Levels of Autonomy framework shows how your team can progress from manual testing to fully autonomous application integrity.
Connected Automation
Humans build, technology repeats.
Teams establish foundational automated testing and repeatable pipelines. Humans drive every decision and technology executes defined tasks — the starting point for building quality into the development process.
SmartBear brings application integrity to life
Industry-leading tools across API lifecycle management, testing, and observability — connected through the SmartBear Application Integrity Core™, with MCP tools, AI-powered features, agentic workflows, and a system of record.
With support for cloud, on-premises, and mobile, SmartBear ensures your software just works wherever no matter what environment you’re building for.
Cloud
AWS, Azure, and Google Cloud integration with CI/CD pipelines.
On-premises
Enterprise-grade security, compliance, and data sovereignty.
Mobile
iOS, Android, and cross-platform framework coverage.
Start your application integrity journey
Join 32,000+ teams who trust SmartBear to deliver application integrity at every stage of development. Start testing, designing, and observing with the platform built for AI speed and scale.