Justin Greis

AI is changing cybersecurity in an important way.

For years, the challenge was visibility - finding vulnerabilities before attackers did.

Now AI is making vulnerabilities easier to find. The real challenge is becoming remediation.

As discovery accelerates, the bottleneck shifts to prioritizing, patching, and fixing issues at scale.

I enjoyed discussing this shift with Evan Schuman for his recent article on Anthropic’s Project Glasswing.

See the acceligence post below for more.

🔎 Cybersecurity has long been treated as a vulnerability discovery problem, but AI is proving it was a remediation problem all along.

Projects like Anthropic's Glasswing are accelerating vulnerability discovery at a scale we've never seen before. That's good news for defenders - but it also exposes a hard truth: most organizations already struggle to validate, prioritize, patch, test, and deploy fixes fast enough.

If AI can identify vulnerabilities 10x or 100x faster than humans, the bottleneck doesn't disappear. It simply moves downstream. Organizations may soon find themselves with unprecedented visibility into risk while simultaneously becoming overwhelmed by the sheer volume of issues requiring action.

The next challenge in cybersecurity won't be finding vulnerabilities. It will be deciding which ones to fix first.

Thank you to Evan Schuman for the thoughtful discussion and for capturing this important shift in such an insightful article, "Anthropic grants Project Glasswing access to 150 more companies, with a focus on critical infrastructure."

👇 Link to CSO and CIO article in the comments below

🧬 A great read and set of insights by Paul Bierbusse on the power of curiosity and how to weave it into the DNA of your organization.

🔍 Most organizations say they value curiosity. Far fewer are actually designed to support it.

In his latest article, acceligence Executive Advisor Paul Bierbusse explores how culture, structure, training, and incentives either cultivate intellectual curiosity or slowly eliminate it over time. Paul's piece goes beyond leadership theory and gets into the operational realities that shape how organizations learn, adapt, and innovate.

One of the strongest themes: organizations don’t become more adaptive by accident. They become more adaptive by design, a deliberate choice that permeates leadership decisions, culture, and behavior.

A thoughtful read for leaders navigating transformation, change, and disruption.

🔗 Link to the article in the comments below

The other day, my colleague Yuri Goryunov and I were out to dinner when a friend asked, “So, tell me what you guys do.”

Yuri answered instinctively: “We do what we love, with people we like, and none of the stuff we hate.”

I thought that was brilliant, and I’m officially adopting it as a mantra.

That spirit is exactly why I’m proud to share this article featuring Michael Yadgar, a friend, mentor, and acceligence Executive Advisor.

Michael’s reflections are about leadership, consulting, AI, culture, resilience, and the work that endures. But at the center of it all is a simple truth: great organizations are built by people who care deeply about the people around them.

As AI changes the mechanics of work, Michael reminds us that the human work of leadership becomes more important, not less.

Thank you, Michael, for sharing your wisdom, perspective, and humanity with all of us.

Here’s to you, my friend. 👏 👏 👏

📰 acceligence news: What endures: Michael Yadgar on five leadership principles for the AI era

acceligence Executive Advisor Michael Yadgar reflects on the leadership lessons that shaped a 32-year consulting career and why they matter even more as AI reshapes the enterprise

👉 Link to the full article in the comments.