Harness, the AI-driven DevOps Platform, has announced the acquisition of Qwiet AI (formerly ShiftLeft, Inc.), a pioneer in agentic AI-based vulnerability detection and reachability analysis. The deal, finalized on September 26, 2025, strengthens Harness’s application security business, which is projected to surpass $50M in ARR this year. This milestone follows the company’s earlier integration with Traceable in March 2025.

Addressing Security Risks in AI-Powered Code Development

The rapid adoption of AI-assisted coding tools and practices such as “vibe coding” has transformed the pace of software creation. However, this acceleration often introduces new challenges: insecure coding patterns, missing safeguards, and fabricated dependencies that contribute to a growing wave of hidden vulnerabilities. At the same time, security teams are flooded with excessive alerts, many of which are false positives, leaving critical risks overlooked. Enterprises face the daunting task of balancing innovation with robust, scalable security practices.

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Harness + Qwiet AI: Redefining Application Security for the AI Era

By bringing Qwiet AI into its ecosystem, Harness is reinforcing its mission to unite security and speed across the software development lifecycle.

“AI-generated code is changing the way developers build software, but it also carries new security risks,” said Jyoti Bansal, co-founder and CEO of Harness. “With Qwiet AI, we’re strengthening our application security portfolio to safeguard code from the outset. By embedding security directly into DevOps, we enable enterprises to innovate quickly without sacrificing protection.”

Qwiet AI’s Code Property Graph (CPG) technology will be integrated with the Software Delivery Knowledge Graph that powers Harness AI. When combined with Traceable’s runtime intelligence, the solution delivers deep application context and precision in vulnerability detection. Rather than overwhelming teams with noise, these capabilities highlight exploitable risks, enabling faster remediation and smarter prioritization.

Key benefits include:

  • Noise reduction: A 97% true positive rate and a 90% cut in false positives minimize alert fatigue.
  • Developer efficiency: CPG technology accelerates remediation by up to 95%, allowing teams to address real threats quickly.
  • Risk prioritization: Advanced reachability analysis reduces open-source vulnerability noise by 92%, ensuring developers focus only on exploitable issues.
  • Real-world context: Integrating production and code-level insights pinpoints vulnerabilities that truly matter.

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“Developers need security that matches their pace,” said Stuart McClure, CEO of Qwiet AI. “Our technology was designed for the AI-driven future of development, and with Harness, we can deliver that vision at scale—turning security into a catalyst for innovation.”

Industry experts also see the acquisition as a timely move. Katie Norton, Research Manager for DevSecOps at IDC, noted: “With AI accelerating software development, enterprises require security solutions embedded directly into DevOps workflows. Harness’s acquisition of Qwiet AI aligns with this trend and provides a path for enterprises to adopt AI-driven coding securely.”

Strengthening Leadership for the Next Growth Phase

To lead this expanded security division, Rahul Sood has joined Harness as General Manager. With prior leadership experience at Palo Alto Networks, Google Cloud, SAP, and Pindrop, Sood will shape Harness’s strategy in building a comprehensive AI-powered DevSecOps platform.

“I’m thrilled to join Harness at such a crucial time,” said Sood. “Application security is one of the top enterprise challenges in the AI era. Harness is uniquely positioned to embed protection seamlessly into the development process, giving organizations the freedom to innovate with confidence.”

Setting a New Benchmark in Secure Software Delivery

The addition of Qwiet AI enhances Harness’s security capabilities across the entire software development lifecycle (SDLC). From initial code creation to production deployment, enterprises will be able to deliver resilient, compliant, and secure software at scale—raising the bar for what secure innovation looks like in the AI era.

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