As the threat landscape evolves to target connected devices, artificial intelligence (AI) and machine learning will become increasingly crucial parts of any organization's endpoint security strategy.
To improve endpoint management in today's threat landscape, IT organizations must embrace collaborative defense by integrating tools into a cohesive security ecosystem and sharing threat intelligence.
Two-Thirds of IT Professionals Believe Their Endpoint Security Tools Won’t Prevent a Major Malware Attack
According to a recent survey, two-thirds of security professionals believe their endpoint security tools are insufficient to protect their organizations from malware.
At Think 2018, IBM experts and clients will show attendees how they can solve their endpoint management and security challenges and stop wasting their valuable cybersecurity resources with IBM BigFix.
To remain secure amid the growing cybersecurity skills gap, it's critical for organizations to reduce the complexity of endpoint security processes wherever possible.
Legacy antivirus tools require more resources to operate and are less effective than next-generation solutions at defusing endpoint security risks.
Following recent malware evolution, modern endpoint detection and response tools should not rely on just one trigger event, but on sophisticated logic.
As the cybercrime landscape expands, SOC teams need endpoint security tools that can reduce the time it takes to gain actionable threat intelligence.
CISOs must understand the key difference between individual and enterprise endpoint security to adequately protect corporate data.
Security teams needs advanced visibility into all endpoints across the organization to prevent endpoint attacks such as the recent Apache Struts exploit.