Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Negligent or malicious behavior by those who have legitimate access to your systems can be more devastating to your company than the efforts of outside attackers. The 2023 Cost of Insider Risk Global Report by the Ponemon Institute shows that cybersecurity incidents caused by insiders through negligence, credential theft, and malicious intent had an average cost per incident of $505,113, $679,621, and $701,500, respectively.

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.

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.