risk management

"本文重点介绍了IT部门应避免的人工智能智能体的风险。"

"私募股权正在经历一场变革：人工智能驱动的预测分析正在重塑公司评估交易、管理风险和规划投资组合策略的方式。"

"所有人在启动时都会阅读CLAUDE.md。超过500行。开源发布全文。"

"了解 FSI 如何超越孤立的 AI 模型。 使用 Snowflake Intelligence，为风险、合规性和索赔运营受控的、自主的 AI 智能体。"

"目的只有一个：'从企业法律事务和风险管理的角度来看，哪些问题是目前不可避免的？'"

"“5% 的幻觉可以接受吗？”这不是一个技术问题，而是一个管理问题。"

"网络安全公司 Varonis 同意以 1.25 亿美元现金收购 AllTrue，后者开发用于人工智能信任、风险和安全管理的专业工具"

"问题的核心似乎在于需要提前考虑风险管理，而不是在事情发生之后。"

"AI风险管理提供了一种结构化的、贯穿整个生命周期的方法，用于识别、评估和减轻由AI系统（包括生成式人工智能）引入的安全性、运营、合规/伦理和数据风险。"

"AI伦理讨论不再仅仅关乎价值宣示，而是关于可以问责、可审计、可罚款的硬性约束，以及一组正在现实中被验证的系统性风险。"

"在2026年版的“十大信息安全威胁”中，“围绕人工智能使用的网络风险”首次入选。"

"利用人工智能编码智能体可以大幅提高开发效率，但同时也要意识到安全风险。"

"当 AI 可能在全球范围内超越人类时，真正的风险不仅仅是技术本身，而是人类的制度、治理和成熟度能否跟上这种力量。"

"The ability to opt-out mid-project is a major advantage."

"I am here to help teams ship safely, not block them."

"Artificial intelligence and quantum computing are no longer speculative technologies. They are reshaping cybersecurity, economic viability, and managing risk in real time."

"The article aims to identify key considerations for corporate law and risk management, avoiding negativity, and presenting a calm analysis."

"The report shows that despite a threefold increase in generative AI usage by 2025, information leakage risks have only doubled, demonstrating the effectiveness of the current security measures!"

"Artificial intelligence has moved from experimentation to execution. AI tools now generate content, analyze data, automate workflows and influence financial decisions."

"The article's key takeaway is the warning about engineers potentially losing understanding of their own code's mechanics, generated by AI."

"This article explores the five biggest mistakes leaders will make with AI agents, from data and security failures to human and cultural blind spots, and how to avoid them"

"本文侧重于SES工程师在使用生成式人工智能工具时所面临的公司政策和现场法规之间经常被忽视的交叉点。"

"The article likely discusses methods for auditing AI systems."

"本文解决了使用人工智能进行会议记录时关于信息泄露的担忧。"

"Employees are feeding sensitive data to ChatGPT."

"The article's core revolves around a PDF discussing machine learning models and their use in predicting market downturns."