Three ways to create a SOC powered by AI
- The security operations center (SOC) plays a crucial role in safeguarding businesses against evolving threats. However, SOC productivity has been hit by the rising sophistication of attack tactics, budget cuts, and a narrowing skills gap in the field.
- In 2024, SOCs that lead with an AI-powered strategy will secure their organizations against the modern threat landscape.
- Cybercriminals are increasingly shifting their tactics to evade detection, and the commercialization of generative AI has made it easier for attackers to launch advanced attacks.
- The increasing demand for skilled cybersecurity professionals is another motivation for amping up the use of AI in the SOC.
- The U.S. Bureau of Labor Statistics predicts the cybersecurity field will grow by 32% through 2032, a rate “much faster than average,” with no signs of slowing.
- This scenario gets complicated by the persisting skills shortage across the industry and many companies being forced to shrink their security teams due to budget constraints.
- AI-driven algorithms can analyze vast amounts of data in real time, identifying patterns and anomalies that might go unnoticed by human analysts.
- AI goes hand in hand with automation, streamlining repetitive tasks to let SOC teams focus on the more complex aspects of threat detection and response.
- Some areas where applying AI and automation can make a substantial difference in how a SOC tackles today’s dynamic and complex threat landscape include detecting social engineering threats across SaaS applications, sifting through user-reported phishing emails, and identifying configuration drifts.
- While AI and automation may shrink the amount of manual tasks in the SOC, they will increase overall efficiency, allowing for strategic threat combat.
