No matter what device you’re using, be it desktop, mobile, or tablet, all the data you store there is at risk of data loss. You could face data loss or cyberattacks such as ransomware unless you protect these files. Securing these devices with endpoint backup is essential for businesses and teams to protect against breaches, data loss, and other threats that can disrupt operations.

Personally Identifiable Information (PII) is data that can uniquely identify an individual, such as an employee, a patient, or a customer. “Sensitive PII” refers to information that, if compromised, could pose a greater risk to the individual’s privacy and misuse of information for someone else’s gains.

Resilience is one of the hottest topics of the moment, but for good reason. For most organizations, suffering a cyberattack is a matter of when, not if. Attackers are, lamentably, always one step ahead of defenders and, as such, responding to an attack and maintaining business operations have become arguably more important than protecting an organization in the first place.

On October 9, 2024, GitLab released patches for a critical vulnerability affecting various versions of GitLab EE, identified as CVE-2024-9164. This flaw allows a remote attacker to run pipelines on arbitrary branches within a repository, which could potentially lead to code execution. A GitLab pipeline consists of a series of automated processes that execute in stages to build, test, and deploy code.

Imagine slashing the time spent on code reviews while catching more bugs and vulnerabilities than ever before. That’s the promise of AI-driven code review tools. With 42% of large and enterprise organizations already integrating AI into their IT operations , the future of software development is here. These tools can swiftly detect syntax errors, enforce coding standards, and identify security threats, making them invaluable to development teams. However, as powerful as AI is, it has its pitfalls.

The tip of the spear for every cybersecurity program should be a robust set of cybersecurity documentation that defines required activities and expected behavior. For most organizations, cybersecurity documentation includes policies, standards, and procedures, although other kinds, such as regulations and guidelines, may exist as well. The implementation of cybersecurity documentation is a governance control that can lessen risk and comply with legal and regulatory requirements.

Penetration testing is something that more companies and organizations should be considering as a necessary expense. I say this because, over the years, the cost of data breaches and other forms of malicious intrusions and disruptions are getting costlier. Per IBM Security’s “Cost of a Data Breach Report 2024,” the average cost of a breach has increased 10% year over year, with the healthcare sector having the highest cost breaches for 14 consecutive years.

Early last month, Netskope announced a few key security innovations across the Netskope One platform and some of my colleagues kicked off the conversation about Netskope Risk Exchange in a previous blog, Evolving the Netskope Risk Exchange Ecosystem. This blog series will continue to explore a number of different workflows that those comfortable using basic scripting, or enablement tools like Postman, can employ to programmatically update and inform your inline policy actions.

Generative artificial intelligence (GenAI) has already become the defining technology of the 2020s, with users embracing it to do everything from designing travel itineraries to creating music. Today’s software developers are leveraging GenAI en masse to write code, reducing their workload and helping reclaim their valuable time. However, it’s important developers account for potential security risks that can be introduced through GenAI coding tools.

HIPAA, an acronym for the Health Insurance Portability and Accountability Act, is one of the most important federal regulatory frameworks for healthcare organizations. It’s an elaborate law that imposes many stringent requirements for patient privacy and data security on governed organizations. Complying with HIPAA demands having a strict internal system to address its often complex and ambiguous requirements.