Utilizing AI for proactive threat hunting and incident response.

Guest post by Harikrishna Kundariya, cofounder and director of esparkBiz Technologies. Opinions are those of the guest blogger.

Introduction

Artificial intelligence (AI) is increasingly used to detect and cease cyber security risks and threats, and if this is not possible, precautionary actions should be taken before the threat is triggered. AI cyber security solutions review and analyze the code used in the virus and develop and apply an antivirus solution. The two codes are stored on databases of previous threats and attacks. The detection and preventive actions used, as well as analyses of new and covert threats camouflaged as innocuous payloads, and actions before the deadly payload is released.

Available cyber security software applications use algorithms and codes to detect malware and viruses with specific destructive code patterns. This detection is not guaranteed and new variants of viruses and hacking exploits are missed. They enter the IT system and hijack or destroy it. A report from Cybercrime Magazine indicates that the costs associated with cybercrime are projected to rise to $19.5 trillion each year by 2025.

How AI Assists in Identifying Threats and Swift Incident Response

AI agents, also called AI bots, are small software programs, with special tasks and routines embedded in either/both, software and/or hardware components. They are programmed to identify vulnerabilities in software programs that hackers tend to exploit. Malware is also found in emails and attachments, illegal sites such as adult and gambling, gaming sites and apps, and others.

These agents also guard and listen to access points’ login areas and virtual ports where software programs connect to the hardware. They also study connection requests from users and/or other software programs, analyze fake or harmful connection requests sent by hackers, and block them.

The AI agent identifies the illegal traffic from its AI learning and training database and stops the request. The request is further analyzed and stored in the training database, which serves as a knowledge repository. This information is shared with other verified cybersecurity agencies.

Using AI for Protection

Many cyber security actions detailed in this section are already available in anti-virus solutions. However, AI systems carry out the detection faster and the response is more accurate.

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About Rachelle

Dr. Rachelle Dené Poth is a Spanish and STEAM: What’s Next in Emerging Technology Teacher at Riverview High School in Oakmont, PA. Rachelle is also an attorney with a Juris Doctor degree from Duquesne University School of Law and a Master’s in Instructional Technology. Rachelle received her Doctorate in Instructional Technology, and her research focus was on AI and Professional Development. In addition to teaching, she is a full-time consultant and works with companies and organizations to provide PD, speaking, and consulting services. Contact Rachelle for your event!

Rachelle is an ISTE-certified educator and community leader who served as president of the ISTE Teacher Education Network. By EdTech Digest, she was named the EdTech Trendsetter of 2024, one of 30 K-12 IT Influencers to follow in 2021, and one of 150 Women Global EdTech Thought Leaders in 2022.

She is the author of nine books including ‘In Other Words: Quotes That Push Our Thinking,” “Unconventional Ways to Thrive in EDU,” “The Future is Now: Looking Back to Move Ahead,” “Chart A New Course: A Guide to Teaching Essential Skills for Tomorrow’s World, “True Story: Lessons That One Kid Taught Us,” “Things I Wish […] Knew” and her newest “How To Teach AI” is available from ISTE or on Amazon.

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