Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Law firms are in a precarious position when it comes to cyber risk. These organizations are tasked with storing large amounts of sensitive information — from corporate finances to client data to intellectual property (IP) — and, as such, are finding themselves in the crosshairs of threat actors.

Enterprise attack surface expansion has become a focal point for IT security teams. The relentless pursuit of securing every endpoint and countering new threats with the latest technology is not just costly; it's also unsustainable. Despite these efforts, breaches continue to occur, often through new or unorthodox attack vectors that bypass traditional perimeter defenses.

Highlights from the largest ever BSidesSF, which brought cybersecurity professionals together to face the new issues AI brings, advanced threat actors, and scaling security.

Let’s head back for a moment to when some of us were partying like it’s 1999, in 1999. Among that year’s notable milestones were the release of The Matrix, the introduction of the euro – and the impending clock turn to 2000 (aka Y2K), which propelled prophylactic tech upgrades far and wide. Simpler times – at least in retrospect.

In this episode of the Trust Issues podcast, host David Puner interviews CyberArk Founder and Executive Chairman Udi Mokady on the occasion of the company’s 25th anniversary. They discuss that milestone and reflect on CyberArk’s growth to becoming the global leader in identity security and the ever-evolving threat landscape – and how the company has scaled to meet it. Udi shares his insights on the company’s culture, values, philosophies and lessons he has learned.

Empowering Citizen Developers: Using Zenity’s Tools in AI-Driven Development The ability to develop applications, automations, and bots without the need for custom coding, has resulted in a paradigm shift for cybersecurity. Now, more than ever, citizen developers can design and implement solutions without the need for a traditional coding background. Due to innovative tools and platforms, as well as the integration of AI, development is now faster, more accessible, and more efficient.

AI is at the heart of technology democratization. As AI tools become more accessible, individuals and organizations have begun to utilize AI copilots to build their own apps, automations and increase productivity in their jobs. This transformation has come to be known as the next evolution of low-code and no-code development. This development promises to accelerate innovation, enhance productivity, and solve complex problems more efficiently than ever before.

The Met Gala, fashion's biggest night, was not just the A-list attendees who stole the spotlight—digital imposters in the form of AI-generated superstars sent social media into a frenzy. As the actual stars showcased their designer ensembles at the gala, X and other platforms were overrun with images of celebrities who were shown to be there, but they actually didn't attend. This new phenomenon has given rise to a online spectacle that is challenging the realms of reality and fantasy.