# Harness Platform Overview

**Header Section:**
- The harness for the Autonomous SDLC. Coding agents create and change code, Harness agents take every change safely through production and beyond.

**About Section:**
- The bottleneck in software delivery has moved. Coding agents write and change code as often as engineers do now, and pipelines are starting to make decisions, not just execute them. The hard part is no longer producing code, it's shipping it safely at the speed AI now makes possible.
- Harness is the platform for the Autonomous SDLC. We give AI agents the context and control to take every code change safely through production and beyond. The model writes the code; Harness is the system around it that makes that code safe to ship.
- Harness serves hundreds of enterprise engineering teams, including Citi, United Airlines, Ancestry, Ulta Beauty, National Australia Bank, Home Depot, and Anaplan.

## Four Agents, One Autonomous SDLC

- Software Delivery Agent — for DevOps and platform engineering teams. Moves every code change safely from commit to production: code repositories and reviews, builds, artifacts, code deployments, infrastructure deployments, and database deployments, all sharing one context instead of running as disconnected tools.
- Security Testing Agent — for DevSecOps and AppSec teams. Finds and fixes risk before it reaches production: security testing orchestration, supply chain security, SAST, SCA, and hardened images.
- Runtime Protection Agent — for CISOs and security teams. Protects applications, APIs, and AI in production: API posture management, API advanced protection, AI security, and AI firewall.
- Cost Management Agent — for FinOps teams. Controls and optimizes cloud and AI spend: cloud costs, AI costs, and developer token optimization.

## Products: Software Delivery Agent

- Continuous Integration (Builds): AI decides which tests matter for each change and explains what broke, without a human writing the pipeline logic.
- Continuous Delivery & GitOps (Code Deployments): autonomous pipeline configuration from prompts, org rules, and best practices, across multi-cloud, multi-region, multi-service releases.
- Infrastructure as Code Management (Infrastructure Deployments): Terraform/OpenTofu automation with plan and migration summaries, policy-as-code, and drift detection.
- Database DevOps (Database Deployments): AI-authored schema migrations delivered through the same governed pipelines as application code.
- Artifact Registry (Artifacts): policy-based artifact promotion across containers, packages, and AI/ML models.
- Internal Developer Portal: developer portal built on Backstage for service catalogs, onboarding, and self-service workflows.
- Runtime Configuration (Feature Management & Experimentation): progressive rollouts, targeting, and experimentation at scale — retained as its own capability alongside the four agents.

## Products: Security Testing Agent

- Security Testing Orchestration: unifies SAST, SCA, and dozens of scanner integrations with AI-powered, prioritized remediation.
- Supply Chain Security: SBOM management, SLSA attestations, and policy enforcement across every open source dependency and build artifact.
- Hardened Images: pre-secured base images to reduce the vulnerability surface before code ever ships.

## Products: Runtime Protection Agent

- API Posture Management: discovers and catalogs your entire API ecosystem with security insights.
- API Advanced Protection: behavioral anomaly detection and threat hunting against APIs and web applications.
- AI Security: discovers, tests, and protects the agents, models, and MCP servers running in your environment.
- AI Firewall: enforces policy continuously against prompt injection, tool misuse, and data exfiltration.

## Products: Cost Management Agent

- AI and Cloud Cost Management: full visibility and automated optimization across cloud and AI spend, by model and provider.
- AI DLC Insights (engineering intelligence): DORA and delivery metrics that connect AI coding tool adoption and token spend to real delivery outcomes.

## Key Differentiators

- Four agents, one Autonomous SDLC: Software Delivery, Security Testing, Runtime Protection, and Cost Management share context instead of operating as disconnected tools.
- We sell agents, not modules: each agent owns an outcome end to end — a change shipped safely, a risk caught before production, an attack stopped, spend controlled — rather than a task in a chain a team has to assemble.
- Governance built in, not bolted on: every action an agent takes is policy-checked, approved, and recorded with a full audit trail — SOX, HIPAA, and PCI compliance included.
- Coding agents write the code: Harness agents take it safely through production and beyond.
- Any cloud, any runtime: Kubernetes-native and cloud-agnostic.
- Proven results: customers achieve 50x deployment increases, 75% faster deployments, and 70% cost reductions.

## Target Industries

- Financial Services and Banking
- E-commerce and Retail
- Healthcare and Life Sciences
- Travel and Hospitality
- Technology and Software Companies
- Government and Public Sector

## Customer Success Stories

- Citi: Deploys build-to-production in under 7 minutes, multiple times a day, with RBAC at scale across 20,000+ developers.
- United Airlines: Pipeline creation time cut from 10 days to 5 seconds; deployment speed up 75% through pipeline templates.
- Ancestry: 78% reduction in systems-onboarding effort and 3x deployment velocity; onboarded 350 systems in year one.
- Ulta Beauty: Increased deployment volumes by 50x, saving months of development time.
- National Australia Bank: 67% reduction in pipeline failures and 85% improvement in resolution time across 2,000+ daily developers.
- Tyler Technologies: $1.2M in annualized cloud savings within 6 months.
- Deluxe: 72% reduction in CI/CD overhead costs; onboarding time cut from 2 months to 2 days.
- Advanced: 33% annualized cloud cost savings through intelligent cost management.

## Use Cases - Primary

- Replacing hand-wired, stitched-together CI/CD with one agent that builds, deploys, and governs every change end to end.
- Finding and fixing security risk before it reaches production, across code, dependencies, and containers.
- Protecting applications, APIs, and AI agents at runtime from exploits, bots, and misuse.
- Controlling and optimizing cloud and AI spend by model, provider, and team.
- Managing complex multi-cloud, multi-region, multi-service deployments.
- Bringing database schema changes into the same governed pipelines as application code.
- Standardizing developer self-service and cutting onboarding time.
- Progressive feature release, targeting, and experimentation in production.
- Testing resilience through chaos, load, and disaster-recovery experiments.

## Use Cases - Enterprise Benefits

- Reduce deployment time from weeks to minutes.
- Eliminate up to 80% of manual deployment tasks.
- Achieve up to 70% reduction in cloud and AI costs.
- Improve developer onboarding from months to hours.
- Catch and remediate security vulnerabilities before production, automatically.
- Every agent action policy-checked, approved, and recorded — audit trail included.
- Increase deployment frequency while maintaining quality.

## Resources

- Developer Documentation: https://developer.harness.io
- Harness University: training and certification programs for software delivery skills.
- API Documentation: comprehensive APIs for platform integration.
- Community Support: active forums and developer community.

## Contact

- Website: https://harness.io
- Platform: https://app.harness.io
- Documentation: https://developer.harness.io
- Status: https://status.harness.io
- Try Harness Free / See Harness in Action: https://app.harness.io/auth/#/signup