Preparing for Post-Quantum Cryptography
Quantum computing poses one clearly identified threat — the ability to compromise nearly all current digital encryption. Here’s how to prepare today.
Quantum computing poses one clearly identified threat — the ability to compromise nearly all current digital encryption. Here’s how to prepare today.
Confronting a growing number of alerts and tighter resources, government agencies must evaluate their existing security deployments in endpoint prevention, detection, and response for opportunities to reduce costs and leverage the right technology for more efficient endpoint security. Let’s explore a few best practices that can drive new levels of security efficiency in endpoint securityRead… Read more »
The basics of quantum computing can be difficult to understand — and even more difficult to remember. Here are five key points to keep in mind, in commonsense language.
AI assistants are evolving from digital helpers to impartial “organizational umpires”; powering agile, data‑driven public sector decision‑making.
Emerging technologies are advancing faster than government policy. Anticipatory governance can help close the gap.
Nebraska’s CIO talks about how IT modernization is helping his state save money and improve services.
Agentic AI has the potential to greatly increase productivity, save taxpayer funds and reshape our economy. But to realize those possibilities, employees must develop agentic AI skills — today.
Government agencies must be able to accurately identify people and organizations to perform their most essential functions — delivering benefits, preventing fraud, enforcing sanctions, and more. However, this task isn’t as simple as it may seem – as agencies attempt to create an accurate picture of a user, they must do so by comparing multipleRead… Read more »
Agentic AI is actually a complex system of AI agents. Here’s insight into what that means, how agentic AI differs from other types of artificial intelligence, and what different types of AI agents do.
Basic LLMs cannot be expected to know your agency/company’s business practices or proprietary information. Implementing RAG will improve the responses as that data is associated with user prompts. It will require effort though to implement.