MIND Security

The best goalkeepers aren't just athletic. They're the ones who see the whole field, organize the defense and stay ice-cold when the big moment arrives.

Turns out that's also a pretty good description of a great brand designer.

Yoti Kellner has spent 13 years doing exactly that. Eight years at Wix. A motion studio in Tel Aviv. A street art magazine in Jerusalem. And somewhere in between, he designed the official driving license of Belgium. The country, not the chocolate.

And every Sunday, he's the last line of defense for Brooklyn Lager FC.

He sees everything, sweats every detail and makes the critical save look effortless.

MIND just found its Keeper of the Brand.

Welcome, Yoti!

Stop me if you've heard this one before.

"𝙒𝙚 𝙖𝙧𝙚 𝙨𝙩𝙧𝙖𝙩𝙚𝙜𝙞𝙘𝙖𝙡𝙡𝙮 𝙡𝙚𝙫𝙚𝙧𝙖𝙜𝙞𝙣𝙜 𝙘𝙪𝙩𝙩𝙞𝙣𝙜-𝙚𝙙𝙜𝙚, 𝙗𝙚𝙨𝙩-𝙞𝙣-𝙘𝙡𝙖𝙨𝙨 𝘼𝙄 𝙨𝙤𝙡𝙪𝙩𝙞𝙤𝙣𝙨 𝙩𝙤 𝙪𝙣𝙡𝙤𝙘𝙠 𝙩𝙧𝙖𝙣𝙨𝙛𝙤𝙧𝙢𝙖𝙩𝙞𝙫𝙚 𝙚𝙛𝙛𝙞𝙘𝙞𝙚𝙣𝙘𝙞𝙚𝙨, 𝙙𝙧𝙞𝙫𝙚 𝙨𝙮𝙣𝙚𝙧𝙜𝙞𝙨𝙩𝙞𝙘 𝙤𝙪𝙩𝙘𝙤𝙢𝙚𝙨 𝙖𝙣𝙙 𝙧𝙚𝙫𝙤𝙡𝙪𝙩𝙞𝙤𝙣𝙞𝙯𝙚 𝙝𝙤𝙬 𝙬𝙚 𝙙𝙚𝙡𝙞𝙫𝙚𝙧 𝙫𝙖𝙡𝙪𝙚 𝙖𝙘𝙧𝙤𝙨𝙨 𝙤𝙪𝙧 𝙚𝙣𝙙-𝙩𝙤-𝙚𝙣𝙙 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙚𝙘𝙤𝙨𝙮𝙨𝙩𝙚𝙢 𝙞𝙣 𝙩𝙤𝙙𝙖𝙮'𝙨 𝙧𝙖𝙥𝙞𝙙𝙡𝙮 𝙚𝙫𝙤𝙡𝙫𝙞𝙣𝙜 𝙙𝙞𝙜𝙞𝙩𝙖𝙡 𝙡𝙖𝙣𝙙𝙨𝙘𝙖𝙥𝙚."

Cool story bro.

1 in 5 companies have AI that's actually hitting its KPIs. The rest have a great slide deck.

Data trust is the difference between the two.
🔗 https://hubs.la/Q04lvl7l0

You know what we call it when an employee pastes the financial forecast into ChatGPT to "clean up the messaging"?

Productivity.

Also a data breach. But mostly productivity.

The line between the two is thinner than most security programs are built for. We wrote a guide for those navigating all this.

🔗 https://hubs.ly/Q04lt_QL0

The more powerful the AI model, the more access people want to give it.
• "It will 10x our productivity"
• "It will eliminate inefficiencies"
• "It will disrupt the entire industry!"

Pretty soon the model has access to everything. Not risky at all.

Then one day the model gets suspended or shut down overnight. And suddenly everyone's asking the question they should've asked at the beginning:

"𝘞𝘢𝘪𝘵... 𝘸𝘩𝘢𝘵 𝘥𝘢𝘵𝘢 𝘥𝘪𝘥 𝘸𝘦 𝘨𝘪𝘷𝘦 𝘪𝘵?"

The Fable 5 suspension is a dependency problem. Not a vendor problem. If your AI strategy runs through a single provider or a single model, you're not building resilience. You're building a very sophisticated single point of failure.

AI models will come and go. Your data security strategy has to outlive them.

🔗 Read more: https://hubs.la/Q04ltbp_0

What the Fable 5 Suspension Means for AI Data Security A US government directive took Fable 5 and Mythos 5 offline worldwide. The real lesson for security teams is about AI data security.

Greg Stolhand met some great Chiefs in Kansas City this week.

Chief Information Security Officers, of course.

We may not have made it onto Arrowhead Stadium, but we had some fantastic conversations at FutureCon Kansas City about protecting sensitive data in the AI era.

Thanks to the great Chiefs who stopped by to find out more about MIND and to FutureCon Cybersecurity Events CEO, Kim Hakim, for a great event.

Mr. Worldwide, Itai Schwartz (who also happens to be MIND Co-Founder and CTO) and his partner in rhyme, Regional Director Dan George, joined the CISOExecNet community in Miami to talk about the impact of data trust on AI success.

While it wasn’t 50,000 screaming fans, the conversation was pretty great. Itai shared insights from the research conducted by MIND in partnership with CISOExecNet and their community of security leaders. The findings reinforce a simple truth: before organizations can trust AI, they need to trust the data behind it.

Muchas gracias Bill Sieglein, Andy Land and Miami-area CISOs! Dale!

Check out the research report: https://hubs.la/Q04kMBYD0

AI doesn't create new security problems. It exposes the ones that were already there.

Weak data governance. Excessive access permissions. Poor data classification. Siloed security tools. Technical debt. Manual processes.

These issues may have been manageable before. But AI amplifies them at machine speed.

As organizations race to deploy AI, many are discovering that success is determined by the strength of the security fundamentals underneath it.

The organizations that will get the most value from AI aren't necessarily the first adopters. They're the ones that have invested in:
✅ Data visibility and classification
✅ Least privilege access controls
✅ Strong governance and policy enforcement
✅ High-quality, trustworthy data
✅ Security processes that can operate at AI speed

AI is forcing a simple but important question: Can your data security foundation support the speed and scale of AI?

Read the blog:

Why AI Is a Stress Test of Your Security Fundamentals New MIND research with 124 CISOs: AI doesn't create new risk, it exposes the gaps you already have at machine speed. Only 20% are ready.

The most compelling conversation about AI at CISO ExecNet Dallas wasn't really about AI.

It was about trust.

MIND’s Samuel Hill talked about how data trust impacts AI success, based on primary research conducted in partnership with CISO ExecNet and their community of security leaders. The findings reinforced a simple truth: before organizations can trust AI, they need to trust the data behind it.

Thanks again to Bill Seiglien and Andy Land for a great event and to the CISOs who joined the conversation and shared their perspectives.

And here’s where you can find that research: https://hubs.la/Q04kj-KR0