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Publication date: April 21, 2023

AI in Cybersecurity


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Written by Angela Polania

Angela Polania, CPA, CISM, CISA, CRISC, HITRUST, CMMC RP. Angela is the Managing Principal at Elevate and board member, and treasurer at the CIO Council of South Florida.

Artificial intelligence (AI), while not a new phenomena, has become one of the hottest topics in the world over the past couple of months since the release of ChatGPT to the public – an AI content generation platform that’s been raising a lot of important questions. Whether we realize it or not, AI algorithms and machine learning are a part of our every day lives, particularly when working in a technical field. In cybersecurity, AI is increasingly being applied to help defend against growing sophisticated cyber threats. By using machine learning algorithms to analyze vast amounts of data and identify patterns, AI can help detect and respond to threats in real-time, reducing the likelihood of successful cyber attacks.

In the whirlwind of information and news surrounding AI in the recent weeks, it can be difficult to parse out and understand how these programs could serve to protect your data, and specifically which areas it could be of use in. In this three-part series, we’ll be addressing some of the most popular uses of AI in cybersecurity:

1. Intrusion detection and prevention systems (IDPS)

2. Threat intelligence and analysis using AI

3. Cybersecurity analytics with AI

4. Network traffic analysis with AI

5. AI-powered malware detection and analysis

6. Identity and access management using AI

7. AI-powered threat hunting

8. Behavioral biometrics with AI

9. AI for fraud detection and prevention

10. AI for security automation and orchestration

There are a large number of benefits to using AI in this field, particularly when it comes to efficiency in input and output, but with those benefits come a learning curve of new security risks – our goal is to AI smarter, not harder. While AI has the potential to greatly enhance digital security, it’s important to note that it is not a silver bullet solution. AI is a two-way street, and threat actors will absolutely be using it themselves to develop new and more advanced attacks. There is also the risk of false positives and other errors when using AI-powered tools. Therefore, it’s important for organizations to use AI in conjunction with other cybersecurity strategies, such as strong access controls, network segmentation, and user education. By taking a holistic approach to cybersecurity, organizations can leverage the power of AI while also minimizing their risk of cyber attacks.

Follow along as we take a look at the some of the amazing ways your organization could benefit from supplementing cybersecurity efforts with AI, as well as the potential risks and drawbacks that inevitably come with sophisticated technology of this nature.

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