Matias Madou

As AI-generated code becomes commonplace, CISOs need new audit strategies to measure developer practices, govern AI tool usage, and identify software risks before they...

Developers must view AI as a collaborator to be closely monitored, rather than an autonomous entity to be unleashed. Without such a mindset, crippling...

To deploy AI tools securely and ethically, teams must balance innovation with accountability—establishing strong governance, upskilling developers, and enforcing rigorous code reviews.

Widespread adoption of AI coding tools accelerates development—but also introduces critical vulnerabilities that demand stronger governance and oversight.

The advantages AI tools deliver in speed and efficiency are impossible for developers to resist. But the complexity and risk created by AI-generated code...

Organizations can align their processes with one of two global industry standards for self-assessment and security maturity—BSIMM and OWASP SAMM.

With a security-first culture fully in play, developers will view the protected deployment of AI as a marketable skill, and respond accordingly.

Benchmarking is all about taking back control – you’re measuring to gain complete awareness of your development teams’ security skills and practices.

CISOs need an AI visibility and KPI plan that supports a “just right” balance to enable optimal security and productivity outcomes.

For years, many CISOs have struggled to influence their development cohort on the importance of putting security first.