现在机器身份的数量超过了人类82比1, 要求在网络威胁和监管不断上升的情况下加强AI安全。 Machine identities now outnumber humans 82 to 1, demanding stronger AI security amid rising cyber threats and regulations.

网络安全专家正在警告各组织加强防御,因为AI和非人身份重塑了数字风险,机器身份现在超过人类82:1。 Cybersecurity experts are warning organizations to bolster defenses as AI and non-human identities reshape digital risks, with machine identities now outnumbering humans 82 to 1. AI系统面临数据中毒和模式盗窃等新威胁,需要从一开始就采取积极主动的安全措施。 AI systems face new threats like data poisoning and model theft, requiring proactive security from the start. 传统身份管理不尽如人意,特别是根据DORA和NIS2等规定,要求对所有身份实行问责制。 Traditional identity management falls short, especially under regulations like DORA and NIS2 that demand accountability for all identities. 专家们敦促实行综合控制、持续监测和更强有力的治理,以便在日益复杂的情况下确保自动化系统的安全。 Experts urge integrated controls, continuous monitoring, and stronger governance to secure automated systems amid growing complexity.