Artificial Intelligence, Real Cybersecurity: Securing AI and ChatGPT

Securing AI and ChatGPT will help fully harness their potential and ensure the benefits justify the risks.

From ChatGPT to machine learning, artificial intelligence (AI) is everywhere. As cyberattacks become more sophisticated, organizations must balance innovation and security. Before you invest, brush up on the benefits and challenges of this exploding technology.


Clear Benefits

AI has become ubiquitous with technology and has many uses in modern business. Organizations have implemented biometric scanning, data processing, automated customer services, recommendation engines, threat intelligence, fraud analysis applications, and more that rely on AI.

One of the most popular AI models, ChatGPT, is a chatbot trained to recognize patterns and understand the inner structure of languages to communicate more naturally. Enterprises are using the baseline of ChatGPT, GPT-3, to develop their own proprietary AI technologies to create content, provide customer support, and train employees.


Potential for Disaster

When using AI for cybersecurity, the generative AI models can still miss cyber threats because the programming limits functionality, requiring continuous updates and resources to monitor and improve. AI can report false positives or other incorrect results. Receiving inaccurate data from such a costly investment will only lead to more frustration, wasted time, costs, and potentially worse security incidents.

Enterprises using proprietary ChatGPT technologies are beginning to experience unique challenges, legal implications, privacy concerns, and even additional cybersecurity issues regarding everything from mobile applications and data leakage to weaponization.


Securing AI and ChatGPT

As our reliance on AI grows, striking a balance between innovation and security is essential to harnessing its potential without placing businesses and their customers at risk. Here are a few security methods to consider:

  • Establish guidelines for data usage, transparency, and accountability specific to AI systems.
  • Avoid fraudulent AI applications and understand their potential role in social engineering attacks, such as phishing, vishing, and smishing.
  • Use robust encryption methods, access controls, and data storage practices.
  • Implement multi-factor authentication (MFA), secure login procedures, and role-based access controls.
  • Continuously monitor AI systems and keep the underlying software up to date with the latest security patches.
  • Conduct rigorous, regularly scheduled security assessments and testing to identify and address potential vulnerabilities.


AI is opening new doors for businesses and individuals alike. But it can also be used as a tool for bad actors who can create more sophisticated cyberattacks and exploit AI resources that enterprises integrate into their networks and systems. Organizations should independently determine if AI solutions complement their current IT strategy, weighing the cost, benefits, and risks of relying on the nascent technology. As a rule of thumb, conducting regular security assessments to isolate threats and areas of concern will provide a clearer picture of how AI could be implemented and if the benefits justify the risks.

Securance can help you reach your cybersecurity and compliance goals to fully harness the potential of enterprise ChatGPT and other forms of AI. Contact us for a free consultation today or download our whitepaper for more information.