Harness provides an Autonomous Software Development Life Cycle (SDLC) platform designed to accelerate software delivery through AI-driven automation, security testing, and cost management. The platform utilizes various agents—including Software Delivery, Security Testing, Runtime Protection, and Cost Management—to automate pipelines from commit to production while maintaining governance and visibility across the entire development lifecycle.
- Offers three levels of risk-based autonomy ranging from manual oversight to fully autonomous agent execution within set policies.
- Includes a Knowledge Graph that learns patterns from deployments, incidents, and cost events to improve recommendations.
- Provides specialized AI posture management to identify and protect against threats like prompt injection and text evasion.
- Enables automated cloud spend attribution by tracing tokens to specific teams or business outcomes.
- Offers three levels of risk-based autonomy ranging from manual oversight to fully autonomous agent execution within set policies.
- Includes a Knowledge Graph that learns patterns from deployments, incidents, and cost events to improve recommendations.
- Provides specialized AI posture management to identify and protect against threats like prompt injection and text evasion.
- Enables automated cloud spend attribution by tracing tokens to specific teams or business outcomes.
This article examines the development of Microsoft’s Azure SRE Agent, designed to mitigate operational toil in mission-critical environments. By utilizing an "agentic workflow" of specialized AI agents, Microsoft has integrated automation across the entire software development lifecycle. This human-AI partnership has autonomously resolved over 35,000 incidents and saved more than 50,000 developer hours, accelerating root cause analysis and mitigation while maintaining rigorous governance and human oversight.
