- AI is improving the average time to identify and contain data violations
- IBM finds that AI users could save £ 600,000 for non -compliance with non -users
- Only a third of the United Kingdom organizations have deployed in security
The new IBM data suggest that the cost of data infractions could actually be decreasing as IA is more integrated into cybersecurity practices, and companies that use these technologies generally incur much lower costs than non -users.
The study estimated that pro-AI companies incurred £ 3.11 million in costs compared to £ 3.78 million for non-users, but despite the potential of £ 600,000+ in savings, less than one in three organizations in the United Kingdom have widely deployed AI and automation in security, which means that many still face the consequences.
That said, although artificial intelligence has been seen improving detection, it is also helping with the generation of code, which means that more cybercriminals can access more sophisticated attacks.
Ai is a double -edged edged sword in cybersecurity
With the widespread adoption of AI, companies are now seeing that violations occur when employees use unveiled tools, also known as Shadow AI. However, only 31% of the companies surveyed have AI government policies to administer the Shadow.
The third party supplier and the supplies of the supply chain were cited as the main causes of violation of the United Kingdom, which represent 18, with phishing (16%) and credentials committed (11%) also widely observed.
Although humans remain a key entry point for attackers in an organization, trends have changed in the last two decades. In 2005, lost or stolen devices represented almost half (45%) of infractions, and 2015 saw an increase in poorly configured clouds. Ransomware also collected in 2020.
“The data speak for themselves, since organizations that implement a solid automation of safety driven by AI are significantly reducing non -compliance costs,” said the leader of cyber security services of IBM UK and I, Georgie Cohen.
With artificial intelligence, organizations unlock faster response times, with an average time to identify (MTTI) of 148 days and an average time for and contain (MTTC) of 42 days (compared to 168 days and 64 days for non -users).
