AI Is Accelerating Software. Is Your Security Model Keeping Up?

AI Is Changing the Software Risk Equation.

Financial services organisations are entering a new era of software risk. AI is enabling developers to write code faster, consume more open source, and deliver applications at unprecedented speed. But security practices have struggled to keep pace.

The result? More dependencies, more potential vulnerabilities, and a shrinking window in which to address exploitable risk.

What was once a vulnerability management challenge is becoming a board-level conversation about operational resilience, regulatory expectations, and the ability to innovate securely.

From Vulnerability Management to Strategic Resilience

In the wake of Mythos and Glasswing, CVE reduction is gaining strategic importance among financial institutions. As AI reshapes both software development and offensive capabilities, organisations must rethink how they manage risk across the software supply chain.

For banks and regulated enterprises, the question is no longer simply how quickly vulnerabilities can be detected and patched. It is how to reduce exposure at the source, maintain control over software dependencies, and keep development moving without compromising security.

Join Chainguard and a select group of financial services leaders in Paris for an exclusive dinner exploring how organisations can embrace AI-driven development while reducing their exploitable CVE surface. 

Four Questions Shaping the Conversation

1. Can Security Keep Pace with AI? As AI accelerates developer output and open source consumption, how confident are you that existing vulnerability management processes can scale at the same pace? What would genuine control look like?

2. Is Software Risk Reaching the Boardroom? As AI changes the economics of vulnerability exploitation, how are C-suite leaders and boards reassessing cyber risk, operational resilience and regulatory readiness?

3. How Do We Move Security Upstream? What will it take to move beyond reactive scanning and patching towards proactive vulnerability? Where are the biggest technical and organisational barriers?

4. Can We Secure Software Without Slowing Innovation? Where should financial institutions draw the line between developer velocity and software supply chain control - and how can security become an enabler rather than a bottleneck?

An Evening for Candid Conversation

This private dinner brings together a select group of financial services leaders for an open exchange of perspectives on the challenges shaping software security.

Away from the day-to-day demands of the office, the evening offers an opportunity to compare approaches, challenges assumptions, and explore how organisations can strengthen software supply chain security while embracing AI-driven development.

The discussion will focus on:

• Reducing exploitable CVEs: Address vulnerabilities earlier and reduce exposure across the software estate.
• Securing AI-driven development: Maintain control as developer productivity and open source consumption accelerate.
• Strengthening software supply chain resilience: Enable developers to move faster without introducing unnecessary friction.
• Evaluating the conversation: Connect software security with strategic business priorities, regulatory expectations, and organisational resilience.

Join the Conversation

As AI-driven development becomes the norm, financial institutions must find new ways of reduce exploitable risk without sacrificing the speed of innovation.

Join Chainguard and fellow financial services leaders for an evening of thoughtful discussion on what it takes to achieve both.

Register below