While AI can be used to create exploits, its greater impact is on security. AI tools empower a vastly larger pool of contributors to scrutinize open codebases, identify flaws, and submit patches, strengthening the ecosystem faster than is possible in a closed environment.

A novel security strategy involves 'AI vendoring': instead of importing a fragile open-source dependency, an organization can task its own agentic coding system to generate a new, proprietary version of that functionality. This brings the code under internal control, eliminating risks from third-party repositories.

AI agents prioritize speed and functionality, pulling code from repositories without vetting them. This behavior massively scales up existing software supply chain vulnerabilities, risking a collapse of trust as compromised code spreads uncontrollably through automated systems.

AI tools that automatically write applications often pull assets from open-source libraries. This creates a massive security risk, as these agents must be explicitly directed to use secure, vetted repositories to avoid introducing vulnerabilities at scale without human oversight.

AI has armed cyber attackers with a new weapon: swarms of coding agents. Unlike human attackers, these agents can exhaustively and rapidly review an entire codebase to find vulnerabilities, dramatically increasing the speed and scale of cyber threats. This necessitates a boom in AI-powered defensive tools.

Inspired by ESG's Scope 3, which assesses supplier impact, building secure AI requires preemptively vetting the entire software supply chain. Companies must treat open-source packages and dependencies as suppliers, ensuring every component is secure from the start, rather than reactively scanning for flaws.

The sophistication of attacks like the Axios NPM compromise necessitates a shift to AI-driven defense. Tools like Cognition's Devin Review are reportedly catching malware before public disclosure, indicating that organizations must adopt AI security tools to counter the rising threat of automated, AI-powered attacks.

Anthropic's AI found thousands of vulnerabilities in supposedly well-vetted open-source code. Because this code is widely copied and embedded in countless enterprise systems, these flaws represent a massive, previously unknown attack surface across global digital infrastructure.

The emergence of AI that can easily expose software vulnerabilities may end the era of rapid, security-last development ('vibe coding'). Companies will be forced to shift resources, potentially spending over 50% of their token budgets on hardening systems before shipping products.