Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

WatchGuard Technologies, a leading provider of unified cybersecurity solutions, today revealed its participation in the Amazon Web Services (AWS) Independent Software Vendor (ISV) Accelerate Program. This co-sell initiative connects AWS Partners offering software solutions that operate on or integrate with AWS, helping them drive new business by directly linking ISVs with the AWS Sales team.

Artificial Intelligence (AI) has been a game-changer in industries that have further churned into process efficiency and revolutionized cybersecurity. On the flip side, its potential has been weaponized by threat actors. Google's Threat Intelligence Group (GTIG) recently came out with reports which showed that state-sponsored hackers are actively exploiting Google's AI-powered Gemini assistant to strengthen their cyberattacks.

Today, we announced our commitment to achieving the US Federal Risk and Authorization Management Program (FedRAMP) - High, Australian Infosec Registered Assessors Program (IRAP), and Spain’s Esquema Nacional de Seguridad (ENS) as part of Cloudflare for Government. As more and more essential services are being shifted to the Internet, ensuring that governments and regulated industries have industry standard tools is critical for ensuring their uptime, reliability and performance.

In the world of cybersecurity, nothing stays still for long. The endless proliferation of new technologies and rapidly shifting threat landscapes forces organizations to continually reevaluate their approach to risk. Over the last two decades, security teams have leaned heavily on vulnerability management (VM) solutions to identify, classify, and patch software vulnerabilities on internal assets.

This article explores the recommended infrastructure for AI workloads, strategies to optimize performance on less expensive servers, and trade-offs in terms of cost and results. We’ll also provide examples of AWS EC2 instance types and pricing to illustrate practical options.

Researchers at Feroot Security have identified computer code within the web-based version of DeepSeek’s AI chatbot that could potentially send user login information to China Mobile, a Chinese state-owned telecommunications company. This discovery raises significant privacy and national security concerns, particularly as China Mobile has been barred from operating in the United States due to its alleged ties with the Chinese government and military.

ABC Good Morning America featured an exclusive report this morning highlighting Feroot’s discovery of concerning code within DeepSeek’s AI platform. Feroot, a leading cybersecurity firm, uncovered hidden capabilities enabling direct data transmission from DeepSeek to China Mobile servers.

The recent rapid adoption of the AI application “DeepSeek” has gained significant global attention. Becoming the app on both the Apple Store and Google Play Store within its first few days, seeing over 10 million downloads. While this explosive growth of DeepSeek R1 highlights the public’s fascination with AI-driven tools, the security community and policymakers have been less enthusiastic.

More and more organizations opt for Azure DevOps to store their source code and project data. Azure DevOps has many benefits – from rapid application deployment and problem-solving capabilities to improved collaboration and communication at the workplace. Yet, they sometimes overlook one important issue – the Shared Responsibility Model. This is a framework which outlines the responsibilities of the user and the provider in regards to security.