Worried about ransomware? If so, it’s not surprising. According to World Economic Forumfor large cyber losses (more than 1 million euros), the number of data exfiltration cases increases, from 40% in 2019 to almost 80% in 2022. And more recent activity is even more high..
Meanwhile, other dangers loom on the horizon. For example, the IBM X-Force Threat Intelligence Index 2024 says threat group investments are increasingly focused on Generative AI attack tools.
Criminals have been using AI for some time now, for example to facilitate the creation of phishing email content. Also, groups used LLMs to facilitate basic scripting tasks, including file manipulation, data selection, regular expressions, and multiprocessing, to potentially automate or optimize technical operations.
Like in a game of chess, organizations must think several moves ahead of their opponents. One of these anticipatory measures may include cloud-based solutions. AI Cybersecurity to help identify anomalies that could indicate the start of a cyberattack.
Recently, AI-based cybersecurity solutions have emerged that can detect anomalies such as ransomware in less than 60 seconds. To help customers counter threats with earlier and more accurate detection, IBM announced new AI-enhanced versions of the IBM FlashCore module technology available in IBM Storage FlashSystem products and a new version of IBM Storage Defender software. These solutions will help security teams better detect and respond to attacks in the age of artificial intelligence.
Learn more about AI cybersecurity
Traditional Storage vs. AI Threat Detection
Immutable copies of data are used to protect data from corruption, such as ransomware attacks, accidental deletion, natural disasters and breakdowns. These backups are also useful in helping organizations comply with data regulations.
Storage protection based on immutable copies of data is typically separated from production environments. These saved copies cannot be modified or deleted by anyone and are only accessible by authorized administrators. This type of solution provides the cyber resilience needed to ensure immediate access to data recovery in response to ransomware attacks.
However, given the growing need for AI-enabled ransomware security, new solutions are in demand. Unlike traditional storage arrays, systems like IBM Flash System leverage machine learning to monitor data patterns, looking for anomalous behaviors that indicate a cyber threat.
This new technology is designed to continuously monitor statistics collected from each I/O using machine learning models to detect anomalies like ransomware in less than a minute.
Advanced systems can use machine learning models to distinguish ransomware and malware from normal behavior. This significantly accelerates threat detection and response, allowing organizations to take action and continue operating during an attack. For example, autonomous responses can trigger alerts or activation of an IT playbook that will minimize the impact of a data attack.
AI Security Threats
Cybercriminals are continually developing AI-enhanced attack capabilities. AI-based cyberattacks are evolving rapidly and can identify vulnerabilities, detect patterns, and exploit weaknesses. Additionally, AI’s efficiency and rapid data analysis can give hackers a tactical advantage over poorly equipped cyber defenses. Traditional cybersecurity methods are no longer enough to combat AI security threats as new tools evolve in real time. The result is rapid intrusion and undetected ransomware deployment.
In addition, there is also predictions on how LLM and other generative AI tools will be offered as a paid service, like Ransomware-as-a-Service, to help attackers deploy their attacks more effectively with less effort. This means that the threat will become even more dangerous and proliferating.
The only answer is to fight fire with fire. AI-powered cybersecurity solutions, such as enhanced versions of IBM FlashCore Module technology, are designed to thwart today’s most dangerous attacks, as well as those that security teams will face in the future. future.
