Artificial Intelligence (AI) has exploded on the mainstream world stage. Individuals and organizations jump to adopt the technology with altruistic optimism in the hopes that it could save time, money, and help to supercharge the skillsets of individual contributions. The potential for organizations to scale and uncover hidden insights in their troves of data is huge. However, so are the risks that many may not yet have considered. 

The Many Layers of Artificial Intelligence  

Much like with any new technology trend that hits the mainstream, many people have interchanged and confused the terminology. AI is the broad field that encompasses Machine Learning (ML), Deep Learning (DL), and Generative AI (GenAI) and all the myriads of techniques and models that are represented below those terms. Though you may have heard these terms used interchangeably, they have distinctly different meanings and applications. Understanding the key differences and limitations of these varying technologies is crucial for businesses, researchers, and policymakers seeking to harness the power of AI. 

The Future AI-Enabled Workplace 

Adopting innovative technologies like AI is critical for organizations to keep pace with their competition. AI has the potential to fill workforce gaps, supercharge the skillsets of individual contributors, and uncover insights efficiently, at scale. AI is unlocking new possibilities from the boardroom to the battlefield.  

The Future AI-Enabled Public Sector 

While governments and other organizations in the public sector do not have the flexibility to adopt unproven technology in ways that some in the private sector can, they cannot afford to stand still either. Near-peer adversaries, allies, and Advanced Persistent Threats (APTs) have already started leveraging the technology in innovative and malicious ways. Which means our defensive technology must not only meet, but exceed, those capabilities in order to maintain decision dominance.   

The Real Risks of AI 

While it can be tempting to hurry up and start using a technology that paints a promising picture of the future. There is a dark side to adopting such a powerful technology, especially for the unprepared.  

6 Best Practices for Secure Innovation with AI 

Keeping in mind the future potential and the real-world risks of AI. Our Everfox experts developed six best practices for building AI responsibly.  

To uncover what the 6 Best Practices for Secure AI Innovation are, and to dive deeper into these topics. Watch the webinar featuring Everfox cybersecurity and AI experts, Audra Simons and Petko Stoyanov. 

Securing AI with Everfox 

Everfox has been defending the world’s critical data and networks against the most complex cyber threats for more than 25 years. We help organizations secure their AI initiatives in the following ways: 

• Securing AI systems across multiple networks 
• Providing scalable, secure access to AI systems
• Protecting AI data and data integrity 
• Enabling actionable analytics and insights to protect against insider threats 

To learn more about Everfox AI solutions, click here.  

To get in touch with a government cybersecurity expert who can help you prepare for your next mission, click here.  

Cat Allen​

Product Marketing Manager​

Cat Allen is a Product Marketing Manager at Everfox where she focuses on highly regulated industry trends, challenges, and cybersecurity solutions. Her previous experience ranges from cybersecurity product marketing for cloud-native Software-as-a-Service (SaaS) organizations to digital marketing consulting for niche brands and non-profits. She is a data privacy advocate, a full-stack developer, and holds a Bachelor of Arts in Psychology.​

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