Security professionals need a comprehensive way to analyze user behavior, automatically respond to reports of suspicious activity and manage user access accordingly to thwart insider threats.
Roles are meant to drive efficiencies in provisioning, user management and recertifications, but many organizations still use them in risk modeling, impeding maturity and productivity.
For cybercriminals, failing to protect privileged credentials is like leaving the keys in your ignition. Implementing privileged access management is a crucial step toward minimizing cyber risks.
Unified identity and access management solutions from IBM enable security teams to silently protect their networks without disrupting the user experience.
Machine learning algorithms can help security teams improve decision-making while conducting user access review and cleanup projects.
Using several disparate tools for access management can create a fractured view of access data, decrease productivity and promote insecure behaviors.
Goldilocks needs an identity and access management solution that provides not too much, not too little, but just the right level of access.
A security vulnerability in the Linux kernel could allow external attackers to escalate privileges and execute malicious code.
While security solutions can certainly help organizations fight ransomware and other threats, the best defense is a robust risk governance strategy.
Many companies fail to maximize their identity governance and administration tools because they focus on short-term solutions to long-term problems.