Justin Greis

📌 A very cool milestone on our journey to build something special!

🙏 Huge thanks to Scott Slavick at Barack Ferrazzano Kirschbaum & Nagelberg LLP for his guidance and support along the way.

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

Appreciate Evan Schuman featuring my perspective in this discussion on one of the biggest challenges facing enterprise AI adoption: pricing.

As organizations move from experimentation to enterprise-scale deployment, the conversation is shifting beyond model performance and toward a more fundamental question: how should AI be valued?

My view is that much of the market is still trying to fit AI into traditional infrastructure pricing models, when AI is increasingly being used to augment work, transform processes, and create business outcomes.

The opportunity ahead isn’t simply finding better pricing mechanisms. It’s creating stronger alignment between technology investments, business objectives, and measurable value.

As AI capabilities continue to mature, I expect pricing models, governance approaches, and value realization frameworks to evolve alongside them.

And in the meantime, token prices are climbing higher and higher! To be expected as adoption grows…

Worth a read for leaders thinking through the next phase of AI adoption.

📈 AI pricing remains one of the most important conversations facing enterprise leaders today.

As AI evolves from a technology tool into a business capability, organizations are rethinking how they evaluate value, investment, and outcomes.

Three key takeaways from this discussion:

🏆 AI success should be measured by business impact, not technical consumption metrics alone.

💰 Pricing models will continue to evolve as organizations gain greater clarity on how AI creates value across the enterprise.

🔭 Strong governance, clear objectives, and executive accountability remain the foundation of successful AI adoption.

Appreciate Evan Schuman for including our perspective in this timely conversation about the future of enterprise AI. Check out his latest ComputerWorld article titled, "The AI pricing conundrum - it started as a nightmare, now it’s worse."

👇 Link to the full article in the comments below.

📈 AI pricing remains one of the most important conversations facing enterprise leaders today.

As AI evolves from a technology tool into a business capability, organizations are rethinking how they evaluate value, investment, and outcomes.

Three key takeaways from this discussion:

🏆 AI success should be measured by business impact, not technical consumption metrics alone.

💰 Pricing models will continue to evolve as organizations gain greater clarity on how AI creates value across the enterprise.

🔭 Strong governance, clear objectives, and executive accountability remain the foundation of successful AI adoption.

Appreciate Evan Schuman for including our perspective in this timely conversation about the future of enterprise AI. Check out his latest ComputerWorld article titled, "The AI pricing conundrum - it started as a nightmare, now it’s worse."

👇 Link to the full 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.

⚠️ Cyber threats target people and exploit human emotion, not just system vulnerabilities.

📱 I received an SMS phishing attempt today (one of hundreds per week) impersonating the Illinois Secretary of State and using urgency, fear, and legal language to drive action. This is exactly how modern social engineering works - exploit trust, create pressure, and trigger a reaction before verification.

A few Wednesday-worthy reminders:

👆 Never click links in unexpected text messages
✔️ Verify requests through official channels
🚩 Treat urgency as a red flag, not a call to action
📨 These sorts of attacks extend far beyond email

Cybersecurity is no longer just a tech issue. It’s a leadership, operational, and human-risk issue.

🏎️ AI adoption is moving fast...and that’s a good thing!

The question I keep coming back to is simple: can we scale this without breaking the economics, especially once it’s embedded in price-sensitive products?

Pilots are easy to love, but PRODUCTION is where the math gets real.

Architecture, model choice, token usage, vendor terms, and workflow design all start to matter once AI is running inside the business every day and embedded into its DNA.

I don’t think the answer is to slow down. I think the answer is to scale smarter.

acceligence Partner and CIO, Yuri Goryunov, shares an excellent perspective on why AI cost discipline will become a bigger leadership topic in 2027, and what executives can do now to get ahead of it.

Curious how others are thinking about this: are you already modeling the cost side of AI at scale?

👇 Read the full article below or at acceligence.com: https://acceligence.com/insights/2026/05/04/scaling-ai-without-breaking-the-economics/

💡 acceligence insights: Scaling AI without breaking the economics

AI adoption is entering its next phase: not less ambition, but better economics. Leaders who pair speed with cost discipline now will be positioned to scale AI confidently, protect margins, and create lasting advantage.

🔗 Read the full article here: https://hubs.la/Q04fdfff0

What an amazing couple of days with the NACD and US Secret Service Cybersecurity Board Academy. It was a wonderful event with great discussions and insights from real-life superheroes, experts, and board directors. I was proud to facilitate the “Securing the Board” session and share how to keep Directors safe from cyber threats.

I’m honored to be named a 2026 Top Consultant by Consulting Magazine. That said, recognition like this is never individual. It reflects the leaders and teams I’ve had the privilege to work with over the years - people who have invested in me, guided me, and lit the way when it was darkest. They also taught me the nobility of the profession and the fulfillment of helping others achieve their dreams...I carry their lessons with every client I serve.

And if there’s one thing I’ve learned in helping my clients over the last 25 years, it’s this: most organizations don’t struggle with knowing what to do. The real challenge is turning that into something that actually works - at scale, under pressure, on budget, and over time.

That’s the problem I’ve spent my career focused on. And it’s one of the many reasons that led me to start acceligence.

We’re building a different kind of consulting model - pairing deep expertise with AI to help leaders get to better answers faster, without sacrificing judgment or rigor. The pace of change isn’t slowing down, and how organizations get help needs to evolve with it.

Grateful for the journey - and even more motivated for what’s ahead.

BIG THANK YOU TO: Andrew MacKenzie • Angela C. Williams • Bob Patton • Brian Kelly • Dillon Dieffenbach • Edna Conway • Jason Lipschultz • Kevin W. Farrell, Ph.D. • Mark Gerstein • Mike Chibbaro • Neil Novich • Patrick Hopkins • Ramesh Venkataraman • Tom Coburn • William Lin • David Neuman • Yuri Goryunov • Ian Schneller • Michael Yadgar • Michael Casey • Nidhi Luthra • Norman Lonergan • Paul Bierbusse

📣 acceligence press release: acceligence Founder and CEO Justin Greis named a 2026 Top Consultant by Consulting Magazine

Chicago, Illinois - April 27, 2026 - Recognition in the Cybersecurity & Risk Technology category honors more than two decades of executive advisory work and the firm's AI-powered approach to management consulting.

🔗 Read the full press release at https://hubs.la/Q04dw2fM0