Launching a successful cybersecurity compliance program requires careful planning, a dedicated team, and a commitment to achieving industry certifications. Protegrity’s platform streamlines this process by providing centralized data protection tools, ensuring that organizations meet security compliance standards while simplifying risk management and audit preparation.

Yes, Venmo is generally safe to use; however, there are always risks when using the mobile payment app. Some risks you should be aware of include Venmo scams, account compromises and data breaches. Typically, people use Venmo to pay friends back when they owe money or split the bill at a restaurant. Although Venmo allows you to send and receive money, it is much safer to use the app when transactions are made with people you know and trust.

The main difference between Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) is how they grant access to users and resources. RBAC focuses on granting access to users based on their roles within an organization, while ABAC grants users access based on their characteristics, such as their environment. Continue reading to learn more about RBAC and ABAC, their crucial differences and which form of access control your organization should use.

In today’s rapidly evolving digital landscape, IT leaders, whether CIOs, CISOs, or VPs of IT, are responsible for driving a range of initiatives that enable business growth and success. Projects like cloud migration, hybrid workforce enablement, and SaaS adoption are now essential. However, these initiatives carry inherent risks that need to be carefully managed, especially when it comes to performance, security, and user experience.

Cross-site scripting attacks are the digital version of the mystery trope where people inject IV lines with hazardous material. In the murder mystery genre, these crimes often focus on someone who looks legitimate, sneaking malicious material into someone’s medicine to harm the patient. Similarly, a cross-site scripting attack is when a threat actor sneaks malicious code into someone’s application to harm end users.

How Generative AI Can Help Identify Malware? Spambrella explains how AI models add value: Generative AI models can identify malware by learning the patterns and structures typical of malicious code versus benign software. Code Generation and Analysis – By generating variations of known malware, these models can simulate potential new forms of malware, helping cybersecurity teams anticipate and defend against unseen threats.

As artificial intelligence (AI) grows, AI guardrails ensure safety, accuracy, and ethical use. These guardrails are a set of protocols and best practices designed to mitigate risks associated with AI, such as bias, misinformation, and security threats. They are vital in shaping how AI systems, particularly generative AI, are developed and deployed.

However, while the retainer model has evolved to meet changing security needs, not all options offer the flexibility required in today’s complex threat landscape. This article outlines how the incident response retainer has changed and continues to develop in scope, and also looks at the different types of available retainer models.