Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Application security is constantly evolving — and there’s no better place to observe these changes than in the Bay Area. Silicon Valley is home to thousands of companies attempting to solve a multitude of problems, but one thing they all have in common is the often daunting task of risk mitigation.

The Biden Administration’s recent moves to promote “responsible innovation” in artificial intelligence may not fully satiate the appetites of AI enthusiasts or defuse the fears of AI skeptics. But the moves do appear to at least start to form a long-awaited framework for the ongoing development of one of the more controversial technologies impacting people’s daily lives. The May 4 announcement included three pieces of news.

Scott McClallen – Staff Reporter – The Center Square (The Center Square) – Nationwide, electronic benefits transfer fraud is estimated to cost taxpayers up to $4.7 billion annually, according to the Government Accountability Office. In 2022, the Supplemental Nutrition Assistance Program distributed over $113.7 billion to nearly 22 million households. The federal government entrusts states to reduce fraud in safety net programs. In March, the U.S.

Zero Trust seems to no longer command the volume of articles that once set it up as a trend that promised a bright new future for security. This is in part because security is a journey. Rushed implementations and low returns often result in burnout with new technology, and generally the real work happens in the quiet stages when analysts and consultants are putting together the tooling and playbooks that deliver true value and not just a “checkbox outcome.”

While there are an estimated 30,000 daily cyber attacks on business websites, there are roughly ten times as many attacks against social media accounts every single day, equating to roughly 1.4 billion accounts every month. Social media attacks and scams have become pervasive problems, with threat actors finding innovative new ways to deceive users and steal their information.