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.
Researchers have devised ways to manipulate speech recognition systems to carry out hidden commands, suggesting that cybercriminals will soon develop similar ways to exploit this technology.
Evolving AI will drive improved security intelligence analytics, while opening up more opportunities for cybercriminals. What happens when AI plays both sides?
As organizations prepare for GDPR in 2018, SecOps and cognitive technology will play crucial roles in helping to ensure improved security without compromising agility.
The top network security trends for security professionals to monitor in 2018 include the evolution of AI, cryptocurrency crime, serverless apps, digital twins, the IoT and more.
If you are planning to launch a new deployment or otherwise expand your security operations center (SOC) in 2018, ensure that cognitive technologies are available to help analysts digest threat data.
The threat landscape is expanding, and organizations must undergo a cognitive convergence to manage evolving security, fraud and operational risks.
Machine learning algorithms can help security teams improve decision-making while conducting user access review and cleanup projects.
When it comes to protecting the railroad industry from cyberthreats, the security immune system approach can reduce incident triage from months to minutes.
To close common security gaps in the oil and gas industry, IT leaders should educate employees, better manage remote devices and eschew standard products.