At Black Hat, discussions around the state of SIEM highlighted claims of its obsolescence despite ongoing vendor promotion of SIEM products. The article argues that SIEM is at a critical juncture, necessitating substantial enhancements in analytics speed, scalability through AI, behavior analytics, and cost-effectiveness. Traditional SIEM models create significant operational delays for security teams when responding to threats. By integrating AI, SIEM can manage extensive datasets more efficiently and address the increasing demands placed on cybersecurity defenses.
SIEM is not dead, but must evolve to meet cybersecurity challenges, focusing on agility and advanced analytics to remain effective.
The traditional SIEM response to threats can turn what should be minutes of analysis into a burdensome week-long investigation.
The integration of AI in SIEM solutions is vital to tackle the growing data sizes and speed demands in cybersecurity.
Revolutions in behavior analytics and infrastructure could redefine SIEM, addressing the limitations faced by security teams today.
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