AI-Accelerated Development. Lower Risk. Stronger Resilience
Join Chainguard for an intimate, off-the-record dinner bringing together senior security, engineering and technology leaders to discuss how organisations can embrace AI-driven development while reducing their exploitable CVE surface.

AI is changing the pace of software development across the Golf.
Developers are writing more code, consuming more open source and shipping applications faster than ever. But the security model around vulnerability reduction has not necessarily kept pace.
As known vulnerabilities accumulate across increasingly complex software estates - and AI makes exploitation faster and more accessible - CVE reduction is becoming more than a security operations challenge.
It's becoming a board-level resilience issue.
Join Chainguard for an intimate, off-the-record dinner bringing together senior security, engineering and technology leaders to discuss how organisations can embrace AI-driven development while reducing their exploitable CVE surface.
The New Software Risk Equation
AI is accelerating developer velocity.
But greater velocity can also mean greater dependency intake: more open-source components, more software entering production and potentially more known vulnerabilities across the estate.
At the same time, AI-assisted offensive capabilities are reducing the time and cost required to exploit vulnerabilities.
The result is a growing gap between how quickly software changes and how quickly organisations can reduce the risk within it.
For regulated institutions, that gap is becoming increasingly difficult to ignore.
From Vulnerability Management to Software Resilience
In the wake of Mythos and Glassiwng, Chainguard has been working with major US institutions, including some of the world's largest banks, where CVE reduction is increasingly being treated as a strategic CISO and CIO priority.
That pressure is beginning to ripple across EMEA - and the same challenges is emerging across the GCC as regulated enterprises accelerate AI-driven development.
Central banks and regulators are also highlighting the changing threat landscape, including concerns that AI could increase malicious actors' ability to target financial institutions and reduce the time required to exploit vulnerabilities.
The questions is no longer simply: "How do we patch faster?"
It's
How do we reduce the exploitable software surface before vulnerabilities become an incident?
The Dinner Conversation
A deliberately intimate discussion focused on the intersection of AI, software supply-chain risk and enterprise resilience.
1. AI-Accelerated Development & Expanding Attack Surface
AI has transformed how quickly teams can create and ship software.
But as development accelerates, so can the volume of open-source dependencies entering the organisation.
Has your vulnerability management model evolved at the same pace?
2. Software Supply Chain Risk in Regulated Financial Institutions
For banks and other regulated organisations, software risk increasingly sits alongside broader operational and resilience concerns.
How is the changing threat landscape influence conversations at board and C-suite level?
3. From Reactive Patching to Proactive CVE Reduction
Scanning, prioritisation and patching remain central to traditional vulnerability management.
But what would it take to move security further upstream - reducing exploitable vulnerabilities before they become a backlog?
Is the biggest barrier technology, ownership or appetite?
4. Securing Developer Velocity Without Slowing Innovation
Developers need to move quickly. Security teams need greater control over the software supply chain.
The challenge is finding an approach that supports both.
Where should organisations draw the line between developer velocity and software supply-chain control?
The Opportunity
AI-driven development isn't slowing down.
The organisations that succeed will be those that can increase software velocity without allowing their exploitable attack surface to grow at the same rate.
That means moving beyond reactive vulnerability management towards proactive software supply-chain control - reducing risk at its source while keeping developers moving.
AI is accelerating development. It's time for security to accelerate with it.
Join the Conversation
Join a select group of security, engineering and technology leaders for an off-the-record conversation about reducing software risk in the age of AI.
Register your interest below.