While machine learning is often

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Detecting Internet Threats
As mentioned, tools like ChatGPT can be used by threat actors to find and exploit website vulnerabilities. On the other hand, LLMs are also used to find and fix security flaws on the Internet.

“ found in alerting or analytics-focused products like SIEM and EDR, LLM has only recently taken off and the industry is just beginning to explore it,” says Tom McVey, senior solutions architect at Menlo Security. “AI will be used to detect and remediate threats in a variety of ways, some of which we haven’t even thought of yet because it’s early days.”

He says it will take a very powerful product to detect malicious sites by checking whether a page was created by a human or an AI. “Without that, the internet could become like the Wild West of the early days,” McVeigh says. “Using AI for homologation and structuring will help us protect against the types of threats that can be generated using LLM.”

Combating AI-Based Attacks
When it comes to containing AI-based cyberattacks, proactive cyprus mobile database intelligence is key. It can be effective by combining a variety of network behavior data and context when processing that data.

“When I recently launched a ransomware defense project, I saw first-hand the enormous potential of AI to combat the evolving tactics of ransomware,” says Aron Brand, CTO of CTERA. “As someone who was directly involved in its development, the success of this project depended on two main components. First, the integrity and depth of the available data is critical. It’s not just about accumulating a huge amount of data, but also about ensuring that it is diverse and rich. By exposing ML algorithms to a wide range of real-world attacks and correlating them with normal user activity, we were able to build a solution that could detect both known and emerging threats. Second, the way this data is processed and presented was critical. At the core of our approach was the process of transforming raw data into meaningful attributes, called feature engineering. It’s important for AI to not just see data, but to grasp the nature of the attack itself, and to understand the subtle differences between malicious and benign activity.”