How AI can help you stay ahead of cybersecurity threats
Artificial intelligence and machine learning can be force multipliers for under-staffed security teams needing to respond faster and more effectively to cyber threats.
What are artificial intelligence and machine learning?
In a cybersecurity context, AI is software that perceives its environment well enough to identify events and take action against a predefined purpose. AI is particularly good at recognizing patterns and anomalies within them, which makes it an excellent tool to detect threats.
Machine learning is often used with AI. It is software that can “learn” on its own based on human input and results of actions taken. Together with AI, machine learning can become a tool to predict outcomes based on past events.
AI adoption for cybersecurity increasing
AI and machine learning are making a significant difference in how fast companies can respond to threats, confirmed Johna Till Johnson, CEO at Nemertes Research. “This is a real market,” she says. “There is a real need, and people are really doing it.”
Nemertes recently conducted a global security study, and the average time it took a company to spot an attack and respond to it was 39 days — but some companies were able to do it in hours. “The speed was correlated with automation, and you can’t automate these responses without using AI and machine learning,” she says.
This article originally appeared in csoonline.com. To read the full article, click here.