AI brings special challenges for security. Now the National Security Agency (NSA) has published what it calls guidance for strengthening AI system security.
How are you managing risks and opportunities with AI?
How are agencies operationalizing AI for use enterprisewide?
The Army's generative AI and large language model policy is weeks away.
Spiraling growth of unstructured data and its used in training large language models for AI uses require a well-crafted hybrid cloud storage architecture.
The University of Maryland has launched of a new institute dedicated to developing the next generation of artificial intelligence people.
Of the many hypothesized AI risks, cyber risk is one of the few that we’re all but guaranteed to experience.
A unified approach to data management enables safe, reliable training and deployment of your organization’s artificial intelligence applications, he shares.
The National Archives and Records Administration says there's an "unacceptable risk" of its sensitive data making its way into ChatGPT's large language model.
The DIA deputy director for global integration says middle management is preventing the intelligence community from harnessing more advanced data analysis.
President Joe Biden is calling for an AI talent surge across the federal government. By the numbers, prospective hires are showing interest in these jobs.
As private industries continue to innovate, individuals will expect their experiences with government to keep pace.
Classified cloud enables agencies to redefine essential mission workflows.
That new White House guidance on agency use of artificial intelligence embodies guardrails, but also a few opt-out scenarios.
DHS also named a director for its AI Corps, a new initiative aimed at recruiting 50 AI experts to lead high-priority projects across the department.