As artificial intelligence, machine learning, and automation continue to evolve, organizations must rethink information sharing, response coordination, and risk mitigation to strengthen the cyber ecosystem and reshape cybersecurity resilience. Among the challenges: balancing innovation with security, privacy, and ethical considerations as agencies navigate the ever-evolving cyber landscape. Join us as thought leaders from government and indust...

According to Gartner, the major digital modernization trends are aimed at addressing three key priorities: managing risk, rethinking value propositions, and streamlining operations. There are specific types of technology that address each of these; for instance, adaptive security – such as a zero-trust architecture – is central to risk management. Those priorities are often reflected in the investments being made by the Technology...

Advances in network slicing technology make it possible for service providers to create multiple customized virtual networks within a shared infrastructure environment. By harnessing the power of artificial intelligence (AI) to manage and automate Radio Access Network (RAN) components in cellular networks, the networks can be streamlined and optimized for functionality, performance, and security. For instance, isolating individual network slic...

The rapid adoption of artificial intelligence (AI) is transforming both the design and use of communication networks. Robust telecom infrastructure — such as private 5G, SD-WAN, and edge computing — is critical for transporting and processing the massive data flows underpinning AI workloads across industries. At the same time, AI is evolving communications itself, powering network automation, predictive analytics, and intelligent m...

As generative AI platforms like ChatGPT, Claude, Copilot, and Gemini become more prevalent, federal agencies are exploring how to harness AI capabilities while maintaining control over sensitive data, infrastructure, and mission-critical operations. Public cloud-based AI models offer scale, but they often fall short on security, transparency, and compliance — especially for defense, intelligence, and civilian agencies operating in class...

Cloud computing is well established across the government – so much so that there are multiple variations in use. Public, private, hybrid, and community clouds are all deployment models, while X-as-a-Service (Infrastructure, Platform, and Software) are service models. Government missions today demand agility — from headquarters to the tactical edge. But agility cannot come at the expense of compliance and control. That’s why...

Finding ways to incorporate artificial intelligence (AI) into federal agencies’ workflows are becoming increasingly important to meeting agencies’ missions and fulfilling Americans’ needs. Between budgetary and workforce constraints, agencies are eager to find ways to do more with less, and AI has the greatest potential to achieve success. Agencies wrestling with how to use AI to the greatest effect face common challenges and...

Just as 5G set a new standard for speed and reliability, 6G – the sixth generation of cellular technology — is envisioned to provide ultra-high speeds, near-zero latency, and a massive increase in capacity (the number of devices and connections that can be supported by at the same time). To accomplish this, 6G will optimize network performance, adapt to changing conditions and demands for service, and manage resources. Further, the...

The continuing pace of innovation in IT calls for government to respond in kind – adopting new tools such as artificial intelligence (AI), building in greater security and resilience, modernizing infrastructure to end the constraints of legacy systems. Among the most significant trends is the acute need to implement Zero Trust principles as a bulwark against cyber threats. Just as AI is making it possible to streamline agency workflows a...