A Roadmap for Securing AI Systems and Data
In this video interview, Gina Scinta with Thales Trusted Cyber Technologies explores the connection between AI and cybersecurity, particularly in the government sector.
Artificial Intelligence
Combatting the New Cyberthreats With Automation and AI
In a dynamic cyber landscape, automation can even the odds. Michael Saintcross of Optiv + Clearshark and Bart Larango, of Splunk, explain how.
Identifying the Top of the GovCon Crop
Federal agencies cannot afford to select government contractors based only on price or past relationships. Read on to learn about the five qualities you should look for.
Transforming Workflows for — and With — AI
As agencies graduate from AI pilot projects, they must do more than bolt it onto existing processes. Learn why you should integrate AI from start to finish.
The Invisible Governance Layer: Why Every AI Policy Fails Without It
AI policies focus on models, ethics, privacy, but many neglect the invisible governance layer that operationalizes those policies.
AI Misfires in Government Filings: The Human Cost of Unverified Output
AI can draft your work — but it won’t defend it. Discover why polished ≠ accurate, and why human oversight still rules the room.
Budgeting for Inference Sprawl: FinOps + GreenOps for AI
AI pilots may seem affordable, but production-scale inference brings spiraling costs and energy demands. Make AI both scalable and responsible.
Maybe We Shouldn’t Call Them AI “Agents”
Sometimes, terminology matters. The term “AI agents” can be problematic in government. Beware of connotations when speaking of agentic services.
Deciphering the Need for AI Data
AI algorithms need reliable, high-quality data to generate high-quality results. Learn how to implement a data strategy that leads to more trusted sources and truer AI answers.
Algorithmic Redress: AI Due Process at Scale
AI is increasingly embedded in decisions that affect citizens’ benefits, permits, and rights, but few agencies have credible systems for appeal or correction. Building algorithmic redress mechanisms isn’t optional; it’s the backbone of public trust and due process in the AI era.