The Current State of AI in Cybersecurity

The Current State of AI in Cybersecurity

There are examples where AI has not lived up to the promises and other lofty expectations.

For years, cyber threats have been detected with artificial intelligence, or AI for short, with machine learning as the main technique to implement artificial intelligence. Indeed, many of today’s security vendors use AI in their products to detect suspicious activity. AI delivers value by finding malicious emails, files, and websites, or by detecting unusual user and system behavior. However, while the success stories are numerous and AI seems to have reached a crucial mass in the public consciousness, there are also examples where AI has not lived up to the promises and other lofty expectations. AI systems usually have the reputation of generating excessive numbers of different false positives, and the black-box nature of most AI systems realizes concerns with different experts. Read on to learn more about the current state of AI within cybersecurity!

Generative AI: What’s Changed in the Rise of Chat GPT?

With the massive launch of ChatGPT, AI has now had its “iPhone moment.” GPT stands for “generative pre-trained transformative,” and its ability to not only create text but also make a chain-of-thought and almost human-like response about a subject was a real eye-opening realization. This realization has stirred new hopes about the possibility, but also fear of new risks of the technology.

Barriers to Defend Against AI-Powered Cyber Threats

The cybersecurity industry is facing serious shortages of skilled professionals. As organizations struggle to maintain their security tools and alerts, the challenges intensify with attackers’ increasing adoption of AI. This shift has changed the demands on security teams, requiring practitioners to possess deep and broad knowledge across the rapidly evolving solution stacks.

Educating end users about AI-driven defenses becomes crucial as organizations grapple with the shortage of professionals proficient with managing AI-powered security tools. Working with machine learning models for accuracy and effectiveness emerges as an essential skill set in high demand. However, there is a concerning lack of understanding among a few cybersecurity professionals regarding AI-driven threats with the use of AI-driven countermeasures, indicating a gap in keeping pace with some evolving attacker tactics. No need to worry though, since En-Net Services can help with AI and threat detection for your organization!

Though at times failing to live up to its hype, AI has changed how cybersecurity can respond to different threats and protect data. Give us a call today if you’re curious about how we can help!

En-Net Services Can Help Today

Experience a superior method of getting the public sector technology solutions you need through forming a partnership with En-Net Services. Our seasoned team members are familiar with the distinct purchasing and procurement cycles of state and local governments, as well as FederalK-12 education, and higher education entities. En-Net is a certified Maryland Small Business Reserve with contract vehicles and sub-contracting partnerships to meet all contracting requirements.

This entry was posted on Thursday, September 5th, 2024 at 4:47 pm. Both comments and pings are currently closed.

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