Tag: Machine Learning

While studies reveal the majority of CTI adopters are dissatisfied with threat intelligence machine learning adoption, there's evidence the adversary is already using algorithms to their advantage.

Artificial intelligence (AI) tools enable security teams to identify behavioral patterns that could point to insider threats more quickly.

IBM's new Intelligent Orchestration offering enables analysts to streamline their investigations via integrations and incident response playbooks.

At RSAC 2018, many speakers urged organizations to take the human element out of the security equation as much as possible by investing in automated tools and focusing on professional development.

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?

Our team is optimistic about the future, and we believe that small teams can do impossibly big things. IBM Security experts will explain how at RSA 2018 in San Francisco.