Finding Balance in US AI Regulation
The US can’t afford to wait for political consensus to catch up to technological change.
The US can’t afford to wait for political consensus to catch up to technological change.
From sophisticated nation-state campaigns to stealthy malware lurking in unexpected places, this week’s cybersecurity landscape is a reminder that attackers are always evolving. Advanced threat groups are exploiting outdated hardware, abusing legitimate tools for financial fraud, and finding new ways to bypass security defenses. Meanwhile, supply chain threats are on the rise, with open-source
The National Institute of Standards and Technology carved a new path for vulnerability remediation by changing the way it prioritizes software flaws.
For organizations eyeing the federal market, FedRAMP can feel like a gated fortress. With strict compliance requirements and a notoriously long runway, many companies assume the path to authorization is reserved for the well-resourced enterprise. But that’s changing. In this post, we break down how fast-moving startups can realistically achieve FedRAMP Moderate authorization without derailing
Patch now: A bug (CVE-2025-53967) in the popular Web design tool’s option for talking to agentic AI can lead to remote code execution (RCE).
As Iran closes its cyberspace to the outside world, hacktivists are picking sides, while attacks against Israel surge and spread across the region.
AI agents have quickly moved from experimental tools to core components of daily workflows across security, engineering, IT, and operations. What began as individual productivity aids, like personal code assistants, chatbots, and copilots, has evolved into shared, organization-wide agents embedded in critical processes. These agents can orchestrate workflows across multiple systems, for example: