Without cognitive insights, a security intelligence platform does little to ease the pressure on short-staffed security operations center (SOC) teams to analyze massive volumes of threat data.
Artificial intelligence (AI) tools enable security teams to identify behavioral patterns that could point to insider threats more quickly.
At RSAC 2018, countless security experts and practitioners gathered in San Francisco to talk about emerging threats and how the cybersecurity industry can prepare to meet evolving challenges.
As AI progresses, security professionals must prepare for the inevitability of machines writing their own malware to infect other machines in the not-so-distant future.
While fraudsters have yet to master adversarial AI, the only way for the security community to get ahead of the emerging threat is through collaborative defense.
Today, IBM introduced the Resilient Incident Response Platform (IRP) with Intelligent Orchestration and X-Force Threat Management services to help organizations connect human and machine intelligence.
Security analysts can maximize the effectiveness of their incident response capabilities by integrating disparate tools such as database firewalls and UBA with a strong SIEM solution.
Is cognitive security all hype, or can AI-powered tools help organizations defend their networks against evolving cyberthreats today?
By augmenting the skills of their human security analysts with machine learning capabilities, organizations can boost the efficiency of their SOCs and stay ahead of evolving cyberthreats.
Generative adversarial networks are neural networks that compete in a game in which a generator attempts to fool a discriminator with examples that look similar to a training set.