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 details the steps to move a Large Language Model (LLM) from a prototype to a production-ready system, covering aspects like observability, evaluation, cost management, and scalability.
