A deepfake is a form of media, such as a photo or video, generated by Artificial Intelligence (AI) to depict real or non-existent people performing actions they never did. AI manipulates a picture, video or voice recording to analyze a person’s characteristics and then blends those characteristics with existing footage using unique algorithms.

In the fast-paced, large-scale world of digital business, establishing and managing an acceptable risk tolerance related to user identities — both human and machine — is a critical element of organizational security. At the forefront of this challenge is the need to strike the right balance between ensuring robust security and maintaining an environment that doesn’t impede innovation. After all, identities are the new perimeter in the cloud.

In a groundbreaking move, some of the world’s largest telecom operators—América Móvil, AT&T, Bharti Airtel, Deutsche Telekom, Orange, Reliance Jio, Singtel, Telefonica, Telstra, T-Mobile, Verizon, and Vodafone—are partnering with Ericsson to launch a new venture aimed at transforming how network Application Programming Interfaces (APIs) are accessed and used.

Some examples of Personally Identifiable Information (PII) include your phone number, email address, license plate number, birth date, Social Security number (SSN) and medical records. Many aspects of your identity can be considered PII, so it’s important to understand what they are and how to protect them. Continue reading to learn how you can protect your PII from falling into the wrong hands and how Keeper can help.

Interactive, hands-on keyboard attack campaigns are employed by today’s most proficient threat actors to penetrate organizational defenses. The network perimeter is typically the initial line of defense against unauthorized access to an organization’s network and the sensitive data it contains. After infiltration, attackers establish command-and-control (C&C) and data exfiltration channels to receive malicious payloads and export stolen data.

In today’s fast-moving threat landscape, Hyperautomation is essential. But building workflows from scratch? That’s time you don’t have. That’s why we started with a library of pre-built templates, helping teams quickly configure security automation workflows. Templates made automation more accessible. Now, we’re taking the next step in that evolution and introducing Torq’s AI Workflow Builder. By harnessing the power of AI, we’re going beyond templates.

In their capacity as a regulator, the Portuguese National Cybersecurity Centre (CNCS) is at the forefront of adapting to NIS2 requirements and ensuring that entities under their purview are compliant. They provide strategic oversight and support for organisations navigating the complexities of the new directive, which introduces stricter standards for risk management, incident response, and supply chain security.

In today's interconnected business environment, third-party risk management has become a pivotal concern for organizations. As businesses increasingly rely on external vendors for essential services, managing the risks associated with these third-party relationships is critical. A key tool in mitigating these risks is the Service-Level Agreement (SLA).

We are thrilled to announce that Rubrik has been ranked highest for the ransomware protection, detection, and recovery use case in the 2024 Gartner Critical Capabilities for Enterprise Backup and Recovery Software Solutions1. This recognition underscores our unwavering commitment to innovation that empowers customers with robust cyber resilience solutions in an increasingly complex digital landscape.

Today, we are excited to announce a significant milestone in our journey to secure enterprise copilots and low-code development platforms by launching our new product; the Zenity AI Trust Layer. This new offering provides full security and governance control for enterprise copilots, and in the first step is focused on Microsoft 365 Copilot. The use of enterprise copilots is undeniably a story in low-code application development.