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Lohrmann on Cybersecurity

State and Local Government Cyber Leaders Prioritize AI, Identity and Stopping Fraud The Identity Paradox: Digital State IDs Now Riskier, More Urgent NASTD 2026: Why Gov Tech Leaders Must Focus on Culture Slopsquatting in the Supply Chain: Weaponized AI Hallucinations Hacking Back Is Back: White House to Enable Cyber Privateers Innovation or Negligence? What Recent AI Hacks Mean for the Future of Cybersecurity How New Laws Will Help Guard Seniors Against Scams Virtual Integrity Revisited: 7 Habits for the AI Age From Principles to Practice: Actionable Blueprints for Ethical AI On AI Ethics: Why Prompt Engineering Needs a Moral Compass Navigating NIST’s New Cybersecurity AI Frontier AI, Mind Reading and Microchip Brain Implants The Global State of Technology Risk in 2026 The Mythos Race: Trump’s New EO and Glasswing’s Expansion No Longer Invisible: When Cyber Attacks Go Physical How New College Grads Can Succeed in an AI Economy Protecting People and Infrastructure: A 2026 World Cup Security Preview ‘CI Fortify’ Is the New Road Map for State and Local Resilience A Tale of Two States: The 2026 Cybersecurity Paradox The Great Stay: Why Tech Talent Is Choosing Stability Over Salary A History of Global Hacking — and Where It’s Going Next Why Anthropic’s Mythos Is a Systemic Shift for Global Cybersecurity Post-Quantum Cryptography: Moving From Awareness to Execution RSAC 2026 Highlights: From Agentic AI to Active Defense What Is Physical AI, and What Does It Mean for Government? New Federal Strategies, Rising Risk From Iran Top Cyber Themes Securing Critical Infrastructure in a Time of War From Michigan to Silicon Valley: A Conversation With Mohamad Yassine Defending Your Castle: Best Practices for Smart Home Security Your Smart Home Is Watching You: Privacy in the Age of AI Robots
AI at Work: Employees Aren’t Waiting for Permission
https://www.govtech.com/authors/dan-lohrmann.html · 2026-06-28 · via Lohrmann on Cybersecurity

Is AI entering the workplace faster than employers are preparing workers to use it effectively?

A new study from Resume Now has released some surprising results that security pros nationwide should pay attention to.
According to the report, here are some of the key insights:

  • “Workers are left to figure out AI on their own. 41% of workers say their employer has provided nothing in the form of tools, training, or guidance to prepare them to use AI at work.
  • AI direction is inadequate. Only 21% of workers say their employer has provided clear AI guidelines with specific use cases for their role.
  • Bare-bones AI access. 52% of workers say their employer provides no AI tools or only free/publicly available AI tools for work-related use.
  • Formal AI training is missing for most. Only 19% of workers say their employer has provided comprehensive AI training with dedicated time or resources.
  • BYO AI is already widespread. 76% of workers have used AI tools they personally found and signed up for to complete work tasks.

“‘BYO AI is a sign that workers are trying to keep up, but it also shows where employers are falling behind,’ said Keith Spencer, career expert at Resume Now. ‘Employees need more than encouragement to experiment with AI. They need access to approved tools, dedicated time to build AI skills, and clear guidance on how AI should be used in their actual roles. Without that structure, AI adoption becomes fragmented and harder to manage, undermining the efficiency, operational improvements and profitability gains employers hope to achieve in the first place.’”

Digging deeper into these report results, it appears that workers are often getting mixed signals from management on AI use:

  • "16% say little to no guidance has been provided.
  • 5% say messages about when and how to use AI have been inconsistent or unclear.
  • 4% say AI use is discouraged or restricted.
  • 26% say their employer has provided general guidance, but not specific to their role.
  • 21% say their employer has provided clear guidelines with specific use cases for their role.
  • 28% say they do not use AI at work.”

EMPLOYEES ARE BRINGING THEIR OWN AI TO WORK

As employer support lags, workers are taking matters into their own hands to keep up. More than 3 in 4 workers have used AI tools they found and signed up for on their own, rather than tools provided or approved by their employer, to complete work tasks. The findings show that “BYO AI” is already part of how many employees are navigating the modern workplace:

  • "23% use personally sourced AI tools daily.
  • 20% use them a few times a week.
  • 17% use them occasionally.
  • 16% use them rarely.
  • 24% never use personally sourced AI tools for work tasks."

Interestingly, the BYOAI trend was one of the top predictions for 2025, way back in December 2024 as a part of The Top 25 Security Predictions for 2025 (Part 1).

When this AI use trend is put alongside the shadow AI trend, which I have written about on numerous occasions since early 2024, the data security challenges become very substantial for enterprises.

In addition, Fast Company described this trend last fall and compared it very negatively with the older bring your own device (BYOD) trend:

“Months ago, I warned about ‘shadow AI’: employees moving faster than their companies, using AI without permission or training, while managers pretended not to notice. The right response was never prohibition but education and better governance. That was only the first signal of something bigger: BYOA or BYOAI, ‘bring your own algorithm’ or ‘bring your own AI.’ Now the trend is visible everywhere: workers are embedding their own agents into daily workflows, while companies scramble to bolt on controls after the fact. The comparison with the old BYOD is misleading — this is not about carrying a device, but about bringing in a cognitive layer that decides, infers, and learns alongside us. Now, recent evidence makes this gap even harder to ignore.”

See this video which describes more of the pros and cons of BYOAI:

AI EMBEDDED IN MOBILE DEVICES AND WEARABLES

Another big set of questions will develop as Apple iPhones and Android smartphones and new wearable AI products start flooding the markets. How will these devices and data interact (or not) with enterprise networks and personal data?

Even as some are already proclaiming that "The enterprise AI gold rush is dead, and most companies aren’t ready for what comes next," other employees are just starting to integrate AI into more parts of life. The implications are vast and blur work and home.

FINAL THOUGHTS

So what can security pros do about BYOAI given this new normal in 2026?

The answers start with visibility and knowing what is happening with AI use on your networks. I cover many of the top questions and some answers in this previous piece.

This video also offers some helpful AI security tips in this area.

Daniel J. Lohrmann is an internationally recognized cybersecurity leader, technologist, keynote speaker and author.