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On-demand Webinar
On-demand Webinar

Harnessing AI to Securely Boost Developer Productivity | Harness Resource | Harness

Today’s dev teams are racing against tight deadlines, rising complexity, and ever-present security threats. The good news? AI isn’t just hype—it’s a game-changer. From eliminating tedious tasks to catching security issues before they escalate, AI is helping developers ship better software, faster and more securely.

In this information-packed Tech Talk, veteran technology journalist John K. Waters talks with AI innovation leader Pranav Rastogi about how teams are moving beyond code generation to smarter testing, streamlined deployment, and continuous security—all while staying within enterprise guardrails.

You’ll learn how to put AI to work for:

  • Automated code creation and documentation
  • Accelerating unit and end-to-end testing
  • Triaging and fixing security vulnerabilities
  • Enforcing policy with tools like Open Policy Agent
  • Building continuous verification into your CI/CD pipeline

Whether you're scaling DevOps or rethinking secure software delivery, this conversation will give you the playbook for AI-powered productivity with real-life user stories.

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Published
January 1, 2024

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What you'll learn

Key Takeaways

AI Extends Beyond Simple Code Generation

Developers are leveraging AI for the entire software delivery process. This includes running security scanners, measuring quality through CI/CD pipelines, and executing automated rollbacks.

AI Drastically Reduces Build and Test Times

Organizations are seeing massive efficiency gains, such as United Airlines reducing build times by 70 percent. Siemens Healthineers also cut test creation time by 90 percent using AI.

Augment Existing Workflows to Prevent Tool Fatigue

To avoid the distraction of context switching, AI should integrate into toolsets developers already use. Success is higher when AI augments current processes rather than introducing entirely new toolchains.

Enforce Governance on AI-Generated Code

Organizations must implement strict security and compliance checks before deploying AI-generated code. AI can also help generate and enforce Open Policy Agent rules to maintain internal coding standards.

AI Detects Supply Chain Threats in Real Time

By combining software bill of materials tracking with runtime security monitoring, AI can identify supply chain attacks. It can then automatically generate code fixes to mitigate the detected vulnerabilities.

Protect Intellectual Property by Securing AI Data

Enterprise AI tools must prioritize privacy by not training models on proprietary customer data. Using sanitized pipeline execution logs ensures that intellectual property remains secure.