Operations | Monitoring | ITSM | DevOps | Cloud

Check Point’s 2022 Workforce Security Report states that more than half of the workforce works remotely in 57% of organizations. The increase in the number of employees that work from home brings up new security implications that on-premise IT environments didn’t have to worry about. As organizations continue to undergo digital transformation, the existing network and network security architectures no longer meet the needs of the current digital era.

As we move into the new year, organizations can expect the number of cyberattacks to increase significantly. In order to battle these upcoming threats, effective patching and patch management processes will be essential. Before patching vulnerabilities, there are two main vulnerability assessments that IT teams should focus on: CVE & CVSS scores. Below, we’ll examine the importance of CVE & CVSS scores along with some of their uses and benefits in the cybersecurity space.

Testing is a vital aspect of security. Unfortunately, there are vulnerabilities that bypass the testing stage and introduce flaws in the production environment. Kubernetes vulnerabilities make more impact when exploited on running applications and production environments. These vulnerabilities can allow hackers to exploit the host machine if the container has escalated privileges.

SCCM is one of the most business-critical applications—a must have on all the devices. Administrators use SCCM for endpoint protection, software distribution, and patch management. Any machine where the SCCM client is not functioning will be unable to receive necessary policies or application updates, which can create a significant vulnerability for your organization because this leads to compliance and security issues.

For the sake of security, performance and uptime, IT pros must find problems on the network immediately and fix them fast. Hmm. Sound like network detection and response (NDR)? It is.

The supercloud concept promises fewer accidental architectures and more cohesive cloud deployments with better manageability. Delivering on this vision requires a mix of vendor-agnostic tooling for performance monitoring and securing data.

We’re surrounded by news of data breaches and companies being compromised, and the existential threat of ransomware hangs over just about every organisation that uses computers. One of the consequences is that we are hassled by an ever-increasing number of software updates, from phones and computers to vacuum cleaners and cars; download this, restart that, install the updates.

The majority (83%) of employees across industries want their jobs to remain hybrid, Accenture reports. Yet nearly 50% of CIOs feel their cybersecurity initiatives aren’t keeping pace with their digital transformation efforts, according to research by ServiceNow and ThoughtLab. Neither are their cybersecurity budgets. Combining artificial intelligence (AI) and machine learning (ML) for IT operations (AIOps) can help.

As the cyberthreat landscape is getting more sophisticated, the need for skilled cybersecurity professionals is also rising. The recent 2022 (ISC)2 Cybersecurity Workforce Study revealed that, in the past year, the cybersecurity workforce gap (the difference between the number of security professionals required and the number of suitably qualified people in the marketplace) has grown more than twice as much as the number of actual cybersecurity workforce hired, with a 26.2% year-on-year increase.