These days, many electronics companies deploy industrial IoT technologies without evaluating or protecting against cybersecurity risks, or preparing a fast and effective response to a breach.
The increasing complexity of modern IAM makes it hard to understand your organization's access risks. Identity analytics can help by enhancing existing processes with a rich behavioral and event data.
As the workforce has embraced digital transformation, the volume and frequency of mobile threats has skyrocketed. Which threats should your organization be worried about?
Cloud gaming service Steam pulled a game from its library on July 30 after users reported that it was actually a cryptojacking scam.
Instead of seeking financial gains with ransom demands, threat actors are now aiming to steal central processing unit (CPU) and graphics processing unit (GPU) resources to facilitate cryptojacking.
When users are granted inappropriate access to privileged accounts, they open the entire IT environment to vulnerabilities — and make it easier for malicious actors to infiltrate corporate networks.
Business leaders often rush to migrate corporate assets to cloud environments to boost productivity and lower costs, but adopting cloud services without proper oversight can put data at risk.
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.
IT decision-makers need to evolve beyond two-factor authentication and design new ways to make the user verification process intelligent and risk-aware.
There is no silver bullet to thwart the KRACK vulnerability, but a security intelligence platform can help analysts become security superheroes.