Malicious actors outside your organization aren't always the only ones at fault for data breaches. Comprehensive employee security training is crucial to minimize the risk of insider threats.
Instead of replacing humans, machine learning will free up overworked IT analysts to focus on other tasks. However, the rising adoption of AI could expose companies to a new breed of insider threats.
Meeting the European Union's GDPR compliance has been a source of continuing difficulty and discussion for businesses.
Healthcare information technology (IT) professionals are worried about ransomware but are struggling with a more persistent cybersecurity infection: insider threats.
Organizations need a privileged account management (PAM) solution that integrates seamlessly with the existing security environment — and helps security teams enforce least privilege policies.
Artificial intelligence (AI) tools enable security teams to identify behavioral patterns that could point to insider threats more quickly.
The mean cost of an insider threat is $8.7 million, according to a recent global study, and data breaches involving negligent employees or contractors can cost organizations as much as $26 million.
As long as C-suite executives believe that cybersecurity is an IT issue, they will remain disengaged from the solutions and their role in supporting a robust cyber risk management strategy.
The latest IBM X-Force report highlighted threats stemming from misconfigured cloud servers and inadvertent insider negligence and examined malware trends from 2017 that could continue into 2018.
In the rush to deflect blame in the wake of an insider attack, many organizations fail to answer critical questions that could help them avoid similar cases of employee fraud in the future.