The U.S. Department of Homeland Security's (DHS) Cybersecurity and Infrastructure Security Agency (CISA) and the United Kingdom's National Cyber Security Centre (NCSC) today jointly released Guidelines for Secure AI System Development in partnership with 21 additional international partners.
Enterprises that deploy Kubernetes in corporate data centers or cloud environments often use Cisco Secure Firewall to protect their networks and cloud resources. These firewalls are crucial for examining traffic coming from Kubernetes clusters. However, accurately determining the origin of this traffic as it passes through Cisco Secure Firewall can be challenging.
The Internet of Things (IoT) has emerged as a transformative force, connecting devices, sensors, and systems to enable seamless communication and data exchange. From smart homes to industrial processes, IoT has revolutionized the way we live and work. However, with this proliferation of connected devices comes a significant challenge: ensuring the security of the IoT ecosystem.
The integration of artificial intelligence (AI) into various domains has become ubiquitous. One area where AI’s influence is particularly pronounced is in cybersecurity. As the digital realm expands, so do the threats posed by cybercriminals, making it imperative to employ advanced technologies to safeguard sensitive information.
Your developer teams plan to adopt a generative AI coding tool, but you — a security leader — have compliance and security concerns. Most important of which being, what if you can’t keep pace with your developers and something significant slips through the net? Luckily, you can stay secure while developing at the speed of AI with Snyk, the security companion for Amazon CodeWhisperer.
