New executive order means shift from policy to practice for cybersecurity practitioners
Cybersecurity directives can feel abstract until they change how practitioners work every day. This article explores a new executive order that moves cybersecurity from policy statements to operational practice, requiring practitioners to rethink how they apply guidance. Read this article for valuable insight into the federal shift and its practical impact on organizational security. Contact Mayhem Shield to discuss how we can help your team adapt effectively.
What is the significance of the new executive order for cybersecurity?
The new executive order marks a shift from theoretical discussions to practical implementation for cybersecurity practitioners. It emphasizes the need for real-world execution, enforceable standards, and a collaborative defense posture to address modern threats. While it sets a strong direction, lasting change will require durable regulations and legislative action.
How will AI security be addressed under the new executive order?
The executive order mandates that AI software vulnerabilities, such as prompt injection and data poisoning, be integrated into existing vulnerability management and incident response workflows. This formalizes the need to treat AI systems as critical software assets, ensuring that risk tracking, patching, and sharing of indicators of compromise are prioritized.
What changes are expected for IoT product procurement by federal agencies?
Beginning in 2027, federal agencies will only be able to procure IoT products that carry the U.S. Cyber Trust Mark. This requirement aims to establish a baseline for device security and may influence broader market expectations, encouraging IoT vendors to enhance transparency and assurance in their products.
New executive order means shift from policy to practice for cybersecurity practitioners
published by Mayhem Shield
Mayhem Shield is a leader in AI-powered, cloud-agnostic solutions, specializing in cloud migration, artificial intelligence (AI), machine learning (ML), and generative AI on platforms like Google Cloud, Amazon Web Services (AWS), and Microsoft Azure. Our customer-centric approach and unwavering commitment to excellence set us apart, delivering cutting-edge AI solutions that surpass expectations and proactively address and resolve potential challenges.
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