By integrating certain tools and techniques, including Search AI and a zero-trust architecture, state and local agencies can improve their cybersecurity postures, safeguard their data, and ensure the continuous operation of their digital infrastructure.
Many agencies have some of the foundational capabilities of zero trust in place already, such as Identity, Credential and Access Management (ICAM). “What zero trust calls us to do is take all of these capabilities to the next level. That’s not a technological solution,” said Steven Hernandez of the Department of Education. “Zero trust is… Read more »
Zero-trust architecture, while widely recognized as essential to modern security, has earned a reputation as a daunting undertaking. John Kindervag, who is credited with defining the zero trust approach in 2010 when he was a principal analyst at Forrester Research, would like to bust that myth.
As a federal zero-trust deadline looms, agencies need a comprehensive cybersecurity strategy that also recognizes the importance of cyber recovery and resilience.
Code buried deep inside applications can make a system vulnerable to supply-chain attacks. You need to know all the software in your system to protect it.
Zero-trust architecture can help agencies secure date for workers in the field and at home.
Zero trust is the new standard for cybersecurity, but it poses challenges, and many federal agencies will miss a key 2024 deadline for implementing it. Here are four ways to comply with zero-trust requirements.
Cloud-based technology is a key element of government IT modernization, and a zero-trust cybersecurity approach can help agencies protect it.
From learning to trust how artificial intelligence (AI) will handle data and provide insights to implementing zero-trust architectures for cybersecurity to building citizen trust with better customer service, agencies are more focused than ever on delivering trust as part of their services.
AI technology has fascinating prospects for society, but there also exists a spectrum of potential negative and unconventional outcomes, including AI-driven phishing attacks.