Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In this episode of Trust Issues, Daniel Schwartzer, CyberArk’s Chief Product Technologist and leader of the company’s Artificial Intelligence (AI) Center of Excellence, joins host David Puner for a conversation that explores AI’s transformative impact on identity and access management (IAM). Schwartzer discusses how CyberArk’s AI Center of Excellence is equipping the R&D team to innovate continuously and stay ahead of AI-enabled threats.

Like everything we do, our devices have become a valuable asset in managing our lives. One of the most important things we all have to manage is our finances, and mobile banking has become the new norm for many of us to: The number of people relying on online banking is steadily increasing. By 2025, the number of people managing their finances is projected to reach 217 million. For this reason, mobile banking security is crucial to prevent cyber criminals from emptying your accounts.

A few weeks ago, my wife asked me why stopping threat actors from impacting our lives is so difficult. In this digital age, the necessity to connect online brings inherent exposure to vulnerabilities. The challenge for you as a security leader lies in reducing the sense of vulnerability by building trust. You need to protect your organization and reassure employees so they can perform their jobs without fear.

According to IBM & Ponemon, the average cost of a data breach is a staggering $4.35 million! No wonder companies feel the need to invest heavily in cybersecurity. For legal tech companies, handling a large amount of sensitive client data daily, the stakes are even higher. Beyond the immediate financial impact, a data breach can cause severe reputational damage that is often much harder to repair, making cybersecurity a top priority for legal professionals.

Welcome to the latest edition of our CloudCasa release notes. As we celebrate the 10th anniversary of Kubernetes, we continue to build on the momentum of our substantial updates focused on Kubernetes backup, migration and replication, we’re excited to introduce another set of robust features and enhancements designed to elevate your data protection and management capabilities.

The concept of Secure Access Service Edge (SASE) promised a revolution in network security. Its core intent: to simplify the deployment and consumption of both networking and security functions. However, does the reality really live up to the initial hype?

IoThinkTank is proud to announce Device Authority as the 2024 IoT HealthTech Innovation Award winner for their groundbreaking KeyScaler-as-a-Service (KSaaS) solution. This accolade recognizes exceptional advancements in IoT technologies that significantly improve patient care and data security in the HealthTech sector.

It is well-known that WatchGuard is 100% dedicated to our channel partners, which means that every deal made, every product sold, and every new customer gained is a win for us both. The relationships we develop with our partners are truly unique and hyper-focused on partner enablement and success. As a result of the success we’ve achieved with our partners, we are thrilled to share that WatchGuard has earned a multitude of channel industry award honors and recognitions in the first half of 2024.

Zero Trust maturity might be one of the least understood security buzzwords of our era. The term “Zero Trust” was originally coined over a decade ago and described the principle of not assigning digital trust to any entity, ever, for free. It represented a fundamental paradigm shift from the trust-happy early internet days to the threat-filled cyber landscape we now know. Since then, companies have been striving to make all their systems Zero-Trust mature. As right they should.

Artificial Intelligence (AI) is now integrated into almost every available technology. It powers numerous real-world applications, from facial recognition to language translators and virtual assistants. AI offers significant benefits for businesses and economies by boosting productivity and creativity. However, it still faces practical challenges. Machine learning often requires substantial human effort to label training data for supervised learning.