NIST Communications Technology Laboratory的动态

This paper ?? examines AI/ML technology from a mobile telecommunication network security-centric perspective. The technologies are discussed in terms of: AI/ML as tools employed by threat actors to attack mobile telecommunication networks, AI/ML as tools to enhance mobile telecommunication network security, and AI/ML technologies integrated into mobile telecommunication networks as targets for attackers and how to protect them. #gsma ICC Sweden TechSverige Svenskt N?ringsliv BusinessEurope DIGITALEUROPE European Round Table for Industry - ERT ETNO Association #oecd #g7 #ttc #enisa #berec 5GAmericas Free 5G Training Cybersecurity https://lnkd.in/gUFGViQa Mikko Karikyt? Andrey Shorov Elif üstünda? Soykan, Ph.D., CISSP Jim Reno Attila Ulbert

More on the important topic of AI/ML security from Ericsson colleagues.

It's crucial for telecom companies to prioritize the security of AI/ML components within their networks. As AI/ML technologies become increasingly integrated into mobile telecommunication, it's essential to stay ahead of potential security threats and implement robust security measures to safeguard the integrity and privacy of user data. This paper discusses the potential risks and benefits of integrating AI/ML technologies into mobile networks, highlighting the need for tailored security controls to mitigate specific threats. It emphasizes the importance of securing AI/ML components within the network, considering both traditional and AI-specific security measures to maintain a robust security posture. This proactive approach will be instrumental in ensuring the trust and reliability of mobile networks in the face of evolving security challenges. #AIsecurity #MLsecurity #TelecomSecurity #TeamEricsson

AI in physical security SOCs? I met with Arcanna.ai CEO (Peter) Petrica Ruta in NYC to discuss the "art of possible" with AI in physical security SOCs. Peter spent 14 years as a security solution architect at Cisco before co-founding start-up Arcanna.ai. They have a patented AI-powered tool designed for cybersecurity SOCs, significantly boosting critical decision-making capabilities and meeting the dynamic needs of SOC professionals. During our discussion, I posed a question: "Why couldn't their technology also be integrated within physical SOC environments?" Imagine AI not just as a tool, but as a game-changer in the way corporate physical security and public safety SOCs operate, enhancing efficiency and effectiveness in real-time threat assessment and management. Stay tuned as we delve deeper into how the convergence of cyber and physical security realms through AI can help make our world a safer place. https://www.arcanna.ai/

Position paper on AI/ML security in mobile telecommunication network from Ericsson (Andrey Shorov, Elif üstünda? Soykan, Ph.D., CISSP, Jim Reno, Mikko Karikyt?, and me) This paper examines AI/ML technology from a mobile telecommunication network security-centric perspective. The technologies are discussed in terms of: AI/ML as tools employed by threat actors to attack mobile telecommunication networks, AI/ML as tools to enhance mobile telecommunication network security, and AI/ML technologies integrated into mobile telecommunication networks as targets for attackers and how to protect them.

The cybersecurity landscape is set for major shifts, with AI and quantum computing at the forefront. This year, we’re facing the dual-edged sword of technological advancements: quantum computing threatens to outpace current encryption, while generative AI’s rise boosts the realism of deepfakes, challenging our ability to discern truth in digital communications. Governments worldwide are responding with stricter cybersecurity regulations to combat the increasing threat of cybercrime. This regulatory push aims to protect economies and societies from the damage inflicted by increasingly sophisticated cyber attacks. On the positive side, 2024 offers a unique opportunity for cybersecurity experts to leverage AI’s power for defense. AI’s demand for high computing power, controlled by major providers, could become a strategic advantage, making AI a force multiplier in our ongoing battle against cyber threats. Despite AI’s rise, the need for experienced cybersecurity professionals remains, highlighting the importance of human expertise in addressing complex challenges. Additionally, we’re seeing a shift towards more proactive security posture management and the potential beginning of the end for traditional passwords, thanks to innovations like FIDO PassKeys. This year promises to be a turning point in how we approach cybersecurity, from embracing AI and preparing for quantum computing to adapting to new regulations and moving beyond passwords. Let’s navigate these changes together, strengthening our defenses for a safer digital future. #Cybersecurity2024 #AI #QuantumComputing #CyberRegulations

It's crucial for telecom companies to prioritize the security of AI/ML components within their networks. As AI/ML technologies become increasingly integrated into mobile telecommunication, it's essential to stay ahead of potential security threats and implement robust security measures to safeguard the integrity and privacy of user data. This paper discusses the potential risks and benefits of integrating AI/ML technologies into mobile networks, highlighting the need for tailored security controls to mitigate specific threats. It emphasizes the importance of securing AI/ML components within the network, considering both traditional and AI-specific security measures to maintain a robust security posture. This proactive approach will be instrumental in ensuring the trust and reliability of mobile networks in the face of evolving security challenges. #AIsecurity #MLsecurity #TelecomSecurity #TeamEricsson

It's crucial for telecom companies to prioritize the security of AI/ML components within their networks. As AI/ML technologies become increasingly integrated into mobile telecommunication, it's essential to stay ahead of potential security threats and implement robust security measures to safeguard the integrity and privacy of user data. This paper discusses the potential risks and benefits of integrating AI/ML technologies into mobile networks, highlighting the need for tailored security controls to mitigate specific threats. It emphasizes the importance of securing AI/ML components within the network, considering both traditional and AI-specific security measures to maintain a robust security posture. This proactive approach will be instrumental in ensuring the trust and reliability of mobile networks in the face of evolving security challenges. #AIsecurity #MLsecurity #TelecomSecurity #TeamEricsson

It's crucial for telecom companies to prioritize the security of AI/ML components within their networks. As AI/ML technologies become increasingly integrated into mobile telecommunication, it's essential to stay ahead of potential security threats and implement robust security measures to safeguard the integrity and privacy of user data. This paper discusses the potential risks and benefits of integrating AI/ML technologies into mobile networks, highlighting the need for tailored security controls to mitigate specific threats. It emphasizes the importance of securing AI/ML components within the network, considering both traditional and AI-specific security measures to maintain a robust security posture. This proactive approach will be instrumental in ensuring the trust and reliability of mobile networks in the face of evolving security challenges. #AIsecurity #MLsecurity #TelecomSecurity #TeamEricsson

Ericsson's report on AI/ML in telecom networks emphasizes: ?? AI/ML's Dual Role: Enhancing efficiency while posing security risks. ?? Need for Secure AI/ML: Protecting components against cyber threats. ??? Comprehensive Security Strategy: Covering all operational aspects. ?? Collaborative Policies: Advocating for joint efforts in AI/ML security. #CyberSecurity #AIinTelecom #FutureOfNetworking