Harness

What Harness does

Harness delivers intelligent AI automation for the entire software delivery lifecycle, enabling engineering teams to ship code faster, safer, and smarter. The platform provides modules for continuous delivery, continuous integration, infrastructure as code management, security testing orchestration, feature management, resilience testing, service reliability management, database DevOps, software engineering insights, internal developer portal, and cloud development environments. Harness AI is embedded across all modules, automating repetitive tasks, predicting failures, optimizing resources, and providing intelligent recommendations. It learns from patterns and workflows to continuously improve delivery performance, while ensuring data privacy and security.

Products

• Continuous Delivery & GitOpsWorld's most advanced CD Platform, designed to deploy any app to any cloud, with built-in advanced deployment strategies, AI-powered deployment verifications, and automated rollbacks. Supports GitOps or push-based deployments.
• Continuous IntegrationWorld's fastest CI, offering 4X faster builds, robust security, and cost efficiency, streamlined into one powerful, developer-friendly platform.
• Infrastructure as Code ManagementAutomate and standardize infrastructure provisioning, enabling developer self-service while improving governance.
• Security Testing OrchestrationShift-left security by seamlessly integrating security scanners and orchestrating tests across build pipelines, allowing rapid vulnerability remediation through intelligent prioritization and deduplication.
• Artifact RegistrySimplify artifact management, bringing all artifacts into one place, including Docker images and Helm charts.
• Feature Management & ExperimentationAccelerate release velocity without breaking things, connecting every flag with contextual data for instant issue detection and triage.
• Resilience Testing (Harness Chaos Engineering)Powered by CNCF Litmus project, increases system resilience, optimizes costs, improves customer experience, and drives faster incident report times with wide coverage on Chaos Faults, automated journey to resilience, seamless integration with pipelines, and ChaosGuard for easy scaling.
• Service Reliability ManagementProvides automated SLO management, Change Impact Analysis, and Automated Governance to empower Developer & SRE teams in bringing control and reliability to service rollouts.
• Database DevOpsIntegrates database changes into the deployment pipeline and gains database transparency across environments.
• Software Engineering InsightsDiscovers SDLC bottlenecks, assesses team productivity, and improves developer experience guided by data and insights.
• Internal Developer PortalPowered by Backstage, it onboards developers & services in minutes, builds software catalogs, allows complete developer self-service, and empowers R&D organizations with service maturity models & scorecards.
• Cloud Development Environments (Gitspaces™)Dedicated, pre-configured, hosted development environments connected to favorite IDEs.
• Software Security Supply ChainMonitors and controls open source components, generates comprehensive Software Bills of Materials (SBOMs) for enhanced visibility, and guarantees software integrity in accordance with SLSA and Executive Order 14028 requirements.
• AI Test AutomationGenerates and runs browser and end-to-end tests with AI.
• Application Security TestingScans and remediates vulnerabilities across the pipeline.
• Supply Chain SecuritySecures the software supply chain end to end.
• SAST & SCAScans code and dependencies for vulnerabilities.
• Web Application & API ProtectionIdentifies issues early and validates API security.
• Application & API Security TestingIdentifies issues early and validates API security.
• Application & API Runtime ProtectionDetects and blocks threats to apps and APIs at runtime.
• Application & API DiscoveryProvides complete visibility into the API ecosystem.
• AI SecurityDiscovers AI assets, monitors threats, and tests AI endpoints.
• Cloud & AI Cost ManagementGains visibility into cloud spend and reduces waste with AI.
• AI SREDetects incidents and automates root cause analysis to cut MTTR.
• AI DLC InsightsMeasures AI adoption, optimizes token spend, and proves engineering impact.

Key capabilities

• AI automation for DevOps, Testing, AppSec, and Cost Optimization
• AI-powered deployment verifications
• Automated rollbacks
• 4X faster builds with Continuous Integration
• Automated infrastructure provisioning
• Shift-left security with integrated security scanners
• Intelligent prioritization and deduplication of vulnerabilities
• Simplified artifact management
• Feature flags with contextual data for issue detection
• Chaos Engineering for resilience testing
• Automated SLO management
• Change Impact Analysis
• Automated Governance for service rollouts
• Database change integration into deployment pipelines
• SDLC bottleneck discovery and team productivity assessment
• Internal Developer Portal for self-service and software catalogs
• Dedicated, pre-configured Cloud Development Environments (Gitspaces™)
• Monitoring and control of open source components
• Software Bills of Materials (SBOMs) generation
• SLSA and Executive Order 14028 compliance
• AI Prompt Library
• AgentTrace
• Responsible AI (data ownership, no training on customer data, sensitive info protection, no long-term storage, strong governance)
• Secure Software Delivery Knowledge Graph
• AI-generated pipelines
• AI-assisted deployment verification
• Error Analyzer for deployment logs
• Native deployments for AI agents (Google Agent Runtime, Amazon Bedrock AgentCore)
• First-class AI targets
• No-code packaging for AI agents
• Autonomous smoke testing for AI agents
• Embedded AI governance (OPA policies, RBAC, audit logs)
• GitOps for centralized management
• Powerful and flexible pipelines (visual and code editor)
• Deploy anything anywhere (multi-cloud serverless to mainframe)
• Templates for pipeline creation and maintenance
• DevOps Pipeline Governance
• Release Management for orchestrated changes
• Advanced Deployments (Canary & Blue-Green)
• Simple Pipeline Authoring (prompt, YAML, visual designer)
• AI-powered Test Intelligence™ for faster test cycles
• Smart caching for builds (Gradle, Bazel, Maven, Docker layers, dependencies)
• Hyper-optimized build infrastructure (Harness Cloud)
• SLSA L3 Compliance for builds
• Integration with popular security scanners (container, SAST, SCA, DAST)
• Intelligent vulnerability deduplication, prioritization, and fix recommendations
• Centralized policy engine for CI/CD governance
• OPA policies for guardrails
• Out-of-the-box DORA Metrics & customizable dashboards
• AI-Powered Internal Developer Portal
• Knowledge Agent for developer productivity
• Self-service workflows with guardrails (RBAC, policy-as-code, audit trails)
• Automated, Git-driven discovery of AI assets
• Intelligent ingestion & semantic search for AI assets
• Lineage & team ownership mapping for AI assets

Use cases

• Accelerate innovation velocity through DevOps modernization
• Drive continuous quality and resilience
• Secure and govern software delivery
• Optimize cloud costs and engineering processes
• Generate CI pipelines based on codebase
• Evaluate feature flags and retrieve dynamic configuration values
• Identify and monitor security vulnerabilities in project artifacts
• Recommend enforcements to reduce cloud costs
• Automate repetitive tasks in software delivery
• Predict failures in software delivery
• Optimize resources in software delivery
• Provide intelligent recommendations throughout the software delivery lifecycle
• Onboarding developers and services
• Building software catalogs
• Enabling developer self-service
• Empowering R&D organizations with service maturity models & scorecards
• Streamlining complex deployments
• Managing brittle scripts and manual processes
• Improving fragmented visibility in releases
• Mitigating risky manual rollbacks
• Standardizing delivery with flexible guardrails
• Empowering developers with self-service capabilities
• Shipping faster with AI-generated pipelines and automated safety checks
• Improving DORA metrics
• Reducing deployment risk
• Accelerating innovation velocity
• Gaining end-to-end visibility for release managers
• Orchestrating complex releases
• Creating complete audit trails for compliance
• Taming Argo Sprawl with centralized management
• Deploying AI agents to Google Agent Runtime and Amazon Bedrock AgentCore
• Automating schema migrations within delivery pipelines
• Provisioning infrastructure as code with drift detection
• Storing and serving artifacts and images with access control
• Running chaos experiments to uncover weaknesses
• Generating and running browser and end-to-end tests with AI
• Scanning and remediating vulnerabilities across the pipeline
• Securing the software supply chain end to end
• Scanning code and dependencies for vulnerabilities
• Identifying issues early and validating API security
• Detecting and blocking threats to applications and APIs at runtime
• Gaining complete visibility into the API ecosystem
• Discovering AI assets, monitoring threats, and testing AI endpoints
• Gaining visibility into cloud spend and reducing waste with AI
• Detecting incidents and automating root cause analysis
• Measuring AI adoption, optimizing token spend, and proving engineering impact
• Centralizing services, environments, and documentation for developers
• Automating setup, governance, and lifecycle control for environments
• Eliminating 'TicketOps' bottlenecks with guarded, self-service workflows
• Defining curated catalogs of 'Golden Path' workflows
• Ensuring consistent, pre-configured setups for developers
• Instantly finding service owners, tech docs, APIs with unified search
• Visualizing upstream and downstream dependencies
• Organizing and governing AI assets (prompts, skills, agents, plugins)
• Analyzing codebase for approved skills
• Mapping lineage and team ownership for AI assets

AI approach

Harness embeds AI across its software delivery platform to automate tasks, predict failures, optimize resources, and provide intelligent recommendations throughout the software delivery lifecycle. It learns from patterns and workflows to improve delivery performance, offering features like AI-powered deployment verifications, automated rollbacks, AI-generated pipelines, error analysis, and AI Test Automation. Harness emphasizes responsible AI, stating that customer data is not used to train AI models, sensitive information is protected, and data is not stored long-term.

Tech named: AI, machine learning, Harness Agents, AI Prompt Library, AgentTrace, Software Delivery Knowledge Graph, AI-powered deployment verifications, AI Test Automation, AI SRE, AI DLC Insights, AI Security

What it says sets it apart

• AI-native Software Delivery Platform
• AI for Everything After Code
• Intelligent AI automation across DevOps, Testing, AppSec, and Cost Optimization
• Embedded intelligence across every module of the Harness Software Delivery Platform
• Learns from patterns and workflows to continuously improve delivery performance
• Responsible AI: customer data is not used to train AI models, sensitive information protected, data not stored long term, built on strong governance framework
• Secure Software Delivery Knowledge Graph tailored to context, team, and compliance needs
• Accelerates onboarding with memories and blueprints
• Creates compliant pipelines in minutes without a ticket
• Meets developers in their IDE, chat, CLI
• Guarantees Unified Governance across DevOps, AppSec, Testing, and FinOps
• AI-powered deployment verifications and automated rollbacks
• World's fastest CI (4X faster builds)
• Harness Chaos Engineering powered by CNCF Litmus project with widest coverage on Chaos Faults
• AI-generated pipelines based on natural language input
• Error Analyzer to summarize and fix deployment errors
• Native deployments for AI agents to Google Agent Runtime and Amazon Bedrock AgentCore
• Autonomous smoke testing for AI agents
• Embedded AI governance for AI agents (OPA policies, RBAC, audit logs)
• AI-Assisted Deployment Verification
• AI-powered Test Intelligence™ for 80% faster test cycles
• Smart caching at every step of the build process
• Hyper-optimized build infrastructure (Harness Cloud)
• AI remediation for build failures
• AI Architect Mode for designing compliant pipelines
• Intelligent vulnerability deduplication, prioritization, and fix recommendations
• AI-Powered Internal Developer Portal for accelerated productivity
• Knowledge Agent for instant answers and streamlined workflows
• Automated, Git-driven discovery of AI assets
• Intelligent ingestion & semantic search for AI assets
• Lineage & team ownership mapping for AI assets