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.
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.
It's January 2019 and cybercriminals are stealing your customer data. How will you use AI to execute your incident response plan and master the basics to avoid future incidents?
Researchers have shown how generative adversarial networks (GANs) can be applied to cybersecurity tasks such as cracking passwords and identifying hidden data in high-quality images.
While some observers fear a Skynet-esque future of malicious, self-aware machines, Dudu Mimran envisions a world in which AI and cybersecurity work together to keep emerging threats in check.
Cisco's "2018 Annual Cybersecurity Report" found that burst attacks, cryptoworms and mobile threats are among security professionals' top concerns in 2018.
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.
Most organizations around the world lack a consistent incident response plan and thus are unprepared to manage the repercussions of a cyberattack, according to a recent Ponemon report.