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You are at:Home»Cyber resilience»Research shows open source vulnerabilities have doubled as AI accelerates code creation (Page 23)
Cyber resilience

Research shows open source vulnerabilities have doubled as AI accelerates code creation

February 27, 20262 Mins Read
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Black Duck has released the 2026 Open Source Security and Risk Analysis (OSSRA) report, which highlights the largest increases in open source security, licensing, and operational risk since the report’s inception 11 years ago.

Based on analysis of 947 codebases across 17 industries, the findings capture a software ecosystem transformed by AI-assisted development, where code, dependencies, and risks ‘are being introduced at unprecedented speed’.

Open source has become effectively universal, appearing in 98% of codebases, meaning that almost every application now inherits third-party risk. Meanwhile, AI-generated code and AI model integration have introduced new forms of risk not previously captured at scale.

Key findings include:

An expanding attack surface
The 2026 OSSRA report shows an unprecedented year of acceleration, with mean vulnerabilities per codebase jumping 107%. Additionally, open source component counts increased 30% year-over-year, and the number of files per codebase grew 74%. According to the report, AI model adoption has also created a new, unregulated attack surface.

AI is increasing legal and licensing exposure
AI-generated code creates new IP and license risks as models may reproduce code governed by restrictive licenses (i.e., GPL; AGPL). In fact, the 2026 OSSRA report found that two-thirds of audited codebases contain license conflicts – the highest rate in OSSRA history. A 12% increase identified this year (68% compared to 56% last year) represents the largest single-year jump the study has recorded.

Governance has not caught up to AI adoption
The maturity gap is stark: Black Duck research previously found that 76% of surveyed organizations check AI-generated code for security risks, but only 54% evaluate it for IP and license risks, and just 56% assess quality issues. Altogether, only 24% perform comprehensive IP, license, security, and quality evaluations for AI-generated code. The 2026 OSSRA report warns that organizations cannot comply with upcoming regulations unless they track AI models with the same rigour as open source components, improve SBOM accuracy and vulnerability workflows, and develop clear AI usage and retraining policies.

“AI has fundamentally changed the economics of software development and with it, the economics of software risk,” said Jason Schmitt, CEO at Black Duck. “This year’s OSSRA findings underscore a truth the industry can no longer ignore: the pace at which software is created now exceeds the pace at which most organizations can secure it. Companies that fail to modernise their supply chain governance risk are falling behind not only technologically, but competitively.”

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