Artificial Intelligence is everywhere now — and for good reason.
Tools like ChatGPT, Gemini, and Microsoft Copilot can help your team draft emails, summarize reports, brainstorm marketing ideas, and move faster than ever before. Used correctly, AI can absolutely boost productivity.
But here’s the problem:
If your team is pasting client data, internal documents, or compliance-sensitive information into public AI tools, your business could be one copy-and-paste away from a serious cybersecurity incident.
For Tulsa-area law firms, healthcare practices, and energy companies handling regulated data, that risk isn’t just theoretical. It’s financial, legal, and reputational.
At Nomerel, we help businesses across Oklahoma, Kansas, Missouri, Arkansas, and Texas implement secure, compliant IT and AI strategies.
Let’s talk about how to use AI the right way — without exposing your business to unnecessary risk.
Why Public AI Tools Can Be a Data Security Risk
Many public AI platforms use submitted data to improve and train their models. That means information entered into free or personal accounts could be stored, retained, or used in ways your business doesn’t fully control.
For companies handling:
- Personally Identifiable Information (PII)
- Protected Health Information (PHI) under HIPAA
- Financial or PCI-regulated data
- Proprietary legal strategies
- Confidential energy infrastructure data
…this becomes a compliance and cybersecurity issue fast.
And this isn’t hypothetical.
In 2023, Samsung employees accidentally pasted confidential semiconductor source code and internal meeting content into ChatGPT. It wasn’t a cyberattack. It was human error. The result? A company-wide ban on generative AI tools.
One mistake. Massive consequences.
For small to mid-sized businesses, especially those with 10–50 employees, a similar incident could mean regulatory fines, client loss, or long-term reputation damage.
The good news? This is preventable.
5 Ways to Prevent AI-Related Data Leaks
Here are five practical strategies to secure your interactions with AI tools and build a culture of security awareness.
1. Establish a Clear AI Usage & Security Policy
If you don’t define the rules, your employees will make their own.
A formal AI security policy should clearly outline:
- What qualifies as confidential or regulated data
- What information must never be entered into public AI tools
- Approved AI platforms and account types
- Consequences for non-compliance
For healthcare practices, that includes HIPAA-protected data.
For law firms, that includes client case details.
For energy companies, that includes operational and infrastructure data.
Policies should be included in onboarding and reviewed quarterly. AI is evolving quickly — your policies should too.
Proactive IT support isn’t just about firewalls. It’s about governance.
2. Require Business-Grade AI Accounts
Free AI tools often include terms allowing data to be used for model training.
Business-tier versions like:
…typically include contractual assurances that your data is not used to train public models.
That’s a critical difference.
Upgrading isn’t about fancy features. It’s about legal protection, compliance alignment, and data privacy guarantees.
3. Implement Data Loss Prevention (DLP) with AI Prompt Monitoring
Even with policies in place, mistakes happen.
That’s why proactive cybersecurity matters.
Modern Data Loss Prevention (DLP) solutions like Microsoft Purview or Cloudflare DLP can:
- Monitor prompts and uploads in real time
- Detect sensitive data patterns (SSNs, credit card numbers, PHI)
- Block or redact information before it reaches an AI platform
- Log and report attempted violations
This is especially important for businesses with compliance requirements like HIPAA, PCI, or industry-specific regulations.
Think of DLP as a safety net. It catches the “accidental copy-and-paste” before it becomes a breach.
4. Provide Ongoing, Practical AI Security Training
A policy sitting in a shared drive doesn’t protect your business.
Your team needs real-world training.
That means:
- Teaching employees how to de-identify data before using AI
- Running scenario-based workshops
- Explaining compliance implications in plain language
- Reinforcing security as part of everyday workflow
When your staff understands why something is risky — not just that it’s “against policy” — behavior changes.
Security awareness isn’t a one-time event. It’s a culture.
That’s why Nomerel offers structured Cybersecurity Awareness Training designed specifically for growing businesses that need to reduce human error, strengthen compliance, and protect sensitive data. If you want your team to confidently use tools like AI without putting your organization at risk, explore our training program here: https://nomerel.com/cybersecurity-awareness-training/
5. Build a Culture of Proactive Security
The most secure organizations don’t rely on a single tool. They build shared accountability.
Leadership sets the tone. When executives model secure AI practices and encourage questions, employees feel comfortable flagging concerns before they become incidents.
Cybersecurity is not just the IT department’s responsibility.
It’s everyone’s.
And for small to mid-sized businesses in Tulsa and surrounding regions, that cultural shift is often the difference between staying protected and scrambling after a breach.
Make Secure AI Adoption Part of Your IT Strategy
AI is not going away. In fact, it’s becoming a competitive necessity.
But adopting AI without guardrails can introduce compliance gaps, data exposure, and operational risk — especially in regulated industries like legal, healthcare, and energy.
That’s why Managed IT Support should include:
- Clear AI governance policies
- Business-grade AI configuration
- Data Loss Prevention tools
- Compliance alignment (HIPAA, PCI, and more)
- Ongoing cybersecurity training
At Nomerel, we help Tulsa-area businesses implement proactive IT strategies that reduce downtime, protect sensitive data, and create predictable, secure technology environments.
If your team is already experimenting with AI — or actively integrating it into daily workflows — now is the time to formalize your approach. Before risks turn into compliance issues or security gaps, make sure your infrastructure, policies, and protections are truly ready.
Start with our AI Readiness Assessment to evaluate your current safeguards, identify vulnerabilities, and build a secure roadmap for adoption: https://nomerel.com/ai-readiness-assessment/
Prefer to talk it through? Reach out to our team at Sales@Nomerel.com or 918-770-4099.
Let’s protect your data while empowering your team to work smarter.
Faith Morgan
Author, Marketing Coordinator at Nomerel
Faith is a dynamic marketing professional with over 9 years of experience in content marketing, social media strategy and video production. An avid traveler and outdoor enthusiast, she draws inspiration from exploring new places, enriching her storytelling approach. At Nomerel, she enhances communication, streamlines processes, and supports the company’s mission to provide exceptional IT solutions.
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