Navigating AI Safely This April Fools’
April Fools’ Day is all about pranks, tricks, and harmless deception, but in today’s AI-driven world, the difference between a joke and a real threat is getting harder to tell.
Artificial intelligence is transforming how we work and communicate. But it’s also giving scammers new, powerful tools to fake, fool, and exploit. This April 1st, it’s a good time to pause and ask: Are we being fooled by AI?
The Rise of AI-Driven Deception
The National Cybersecurity Alliance (NCA) is launching its “AI Fools: Stay Sharp!” campaign to raise awareness about how AI is being used in scams and everyday risks.
AI-powered threats are evolving quickly:
Deepfakes and voice cloning can impersonate people with alarming accuracy
Phishing emails generated by AI are more convincing than ever
Scammers exploit urgency and trust to trick victims into sharing money or sensitive data
Even more concerning, AI tools only need a short audio or video clip to clone someone’s voice or likeness, making impersonation attacks easier than ever.
At the same time, user behavior is creating additional risk:
of users have shared sensitive work information with AI tools without employer approval
of users report receiving no training on AI security or privacy risks
This combination of powerful AI tools and low awareness is exactly what scammers rely on.
The Hidden Risk: What Are You Sharing with AI?
Generative AI tools can feel private, but many are not.
According to guidance from the National Cybersecurity Alliance, public AI platforms may store and reuse the data you input, sometimes even to improve their models.
This creates real risks:
- Exposure of proprietary company information
- Leakage of customer or personal data
- Potential compliance and legal issues
A simple but powerful guideline:
Treat AI tools like social media. If you would not post it publicly, do not share it with AI.
Outsmarting AI Scams
One of the most practical recommendations from NCA is using a safe word system.
A safe word is a pre-agreed phrase used to verify identity during urgent or unusual situations. If someone calls claiming to be a coworker or family member in distress, asking for the safe word can quickly expose a scam.
This is especially important because AI scams often:
- Mimic a loved one’s voice
- Create high-pressure, emotional scenarios
- Push for immediate action
Safe words act as a simple, human defense against highly advanced technology.
CyberWyoming Perspective: AI Is Powerful But Needs Evaluation
While awareness is critical, CyberWyoming emphasizes that safe adoption of AI tools requires intentional evaluation, especially for businesses.
Generative AI tools (like ChatGPT and others) have revolutionized content creation, data analysis, and workflow automation.
However, not all tools are created equal, especially when it comes to privacy, security, and responsible data use.
Why AI Product Evaluation Matters
Before integrating AI into your business, it’s important to understand:
Data Privacy Policies
- How is your data collected, stored, and shared?
- Is it used to train AI models?
Security Measures
- How does the company protect against breaches or vulnerabilities?
Terms of Service
- What rights are you giving up when you agree?
Key Questions to Ask
To make informed decisions, evaluate AI tools by asking:
- Multi-Factor Authentication (MFA): Does the tool require it for login?
- Data Usage: Is your data sold to third parties or used to train AI models?
- Encryption: Are your data transfers and storage encrypted?
- Policy Clarity: Are privacy policies transparent and frequently updated?
- Compliance: Does the product meet recognized standards like SOC, ISO/IEC 27001, GDPR, or CCPA?
- Breach Response: How does the company handle security incidents?
Tools, Resources, and Best Practices
To evaluate AI tools effectively:
- Use privacy analysis tools to review policies
- Research with platforms like Futurepedia, OWASP, and Microsoft Purview
- Watch for red flags:
- Vague or unclear policies
- Lack of certifications
- Default opt-in data sharing
Best practices include:
- Creating a standard evaluation template
- Verifying findings with trusted sources
- Continuously monitoring policy updates
CyberWyoming’s AI Product Research Framework
To simplify AI evaluation, CyberWyoming developed a clear classification system:
- Green: Strong privacy and security; minimal data selling
- Yellow: Some concerns; limited transparency or optional data sharing
- Red: Significant risks; data sold with little or no user control
To request CyberWyoming’s latest AI Product Research Flyer, email: info@cyberwyoming.org
April Fools’ Day serves as a reminder to stay alert to scams, deepfakes, and oversharing, and to carefully evaluate the tools we trust with our data.
AI is powerful, but it’s not foolproof.
