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.
The traditional mission of security is evolving under the influence of several key trends regarding the functions, staffing, processes and core capabilities of the security operations center.
To defend their confidential data from increasingly sophisticated cybercriminals, security teams must leverage machine learning to perform analytical tasks that are too tedious for humans to complete.
A recent Cisco study found that more firms are responding to cybersecurity news headlines by investing in artificial intelligence (AI) solutions to safeguard data.
Modern organizations need a UEM solution that harnesses the power of cognitive technology to deliver enhanced data security, maximize user productivity and increase operational efficiency.