12月17日，ISC.AI 2025第六届创新百强（简称“创新百强”）颁奖典礼在京圆满落幕。本届评选由ISC.AI平台、大模型产业联盟主办，并得到赛迪顾问、数世咨询、数说安全、光合行·AIGC、密码资本、北京新一代信息技术产教联合体、全国信息安全产教融合共同体、全国人工智能+安全产教融合共同体、全国数智安全行业产教融合共同体、河北省数字安全与人工智能行业产教融合共同体、BP商业伙伴、安在、看雪、安全419、嘶吼、安全客等产业、教育、媒体合作伙伴，悬镜安全、赛宁网安、从云科技、上海淇毓、天懋信息、经纬信安、帕拉迪等战略合作厂商，以及40余家投融资机构、科研院校的鼎力支持。
当日，政府代表、高校学者、企业负责人、投融资机构代表及媒体人士齐聚现场，围绕“数字安全、人工智能、智能体等前沿领域的核心技术突破方向”，“科技成果向产业应用转化的有效路径探索”，以及“科教融汇培养复合型人才的实践范式”等方向议题，展开多轮深度对话与经验分享，并共同见证了新一届创新百强荣耀榜单，以及多项具有领先创新成果的发布。
智能体驱动创新变革
业界领袖巅峰对谈
伴随人工智能向智能体形态的深层跃迁，打造一个更富活力、韧性、安全与竞争力的“AI+新质生产力”生态，已成为把握未来发展的关键机遇。
在领导致辞环节中，中关村朝阳园党工委委员、管委会副主任、区科信局局长陈雷表示，人工智能与数字安全的深度融合是未来重要趋势。朝阳区拥有丰富的全域应用场景和完备的政策体系，是数字安全解决方案的最佳试验田，也是相关企业创新创业的首选地。
“十四五”期间，朝阳区已构建起以产业互联网、人工智能、数字安全为支柱的“3+X+N”产业创新体系，并推出“1+1+4”科技产业支持政策。面向“十五五”，区域将进一步依托360等数字安全龙头企业，联动区内70余家AI企业生态，打造“AI+数字安全”特色产业园，并从资金、基金、人才、空间等方面提供全方位保障。欢迎本次评选的所有获奖企业、高校和创新机构走进朝阳、投资朝阳，携手共创，一路朝阳。
360数字安全集团总裁胡振泉表示，2025年是“智能体元年”。智能体在塑造AI时代“超级个体”与“超级组织”的同时，也被黑客利用、批量复制，这将推动网络对抗进入“人机对抗”新阶段。因此，安全行业必须率先拥抱智能体。作为首家以智能体驱动安全业务的公司，360已展开系统实践：一方面以AI重构防护体系，基于安全大模型打造超百个可协同作战的安全智能体，复现高阶专家能力；另一方面针对大模型与智能体自身风险，提出“以模制模”的AI治理路径。
未来，360将围绕三大方向持续赋能各界伙伴：一是攻坚核心技术，提升智能体在复杂场景中的自主决策与安全防护能力；二是开放智能体工厂，助力政企高效构建贴合业务需求的专属智能体；三是深化产教融合，持续输送具备技术与安全双重素养的复合型人才，携手在智能体浪潮中筑牢安全根基，致力让AI世界更安全、更美好。
360数字安全集团副总裁、ISC.AI品牌主理人卜思南表示，随着AI发展进入以智能体为核心的下半场，本届创新百强以“多、真、强”为指引全面升级。赛道拓展至数字安全、AI安全及AI应用三大方向，覆盖16个前沿领域，并创新采用“AI智能体+跨域专家团”双轨评审机制，系统识别高潜力创新项目。自11月启动以来，活动共吸引全国500余家企业、超100所高校参与，累计征集方案800余份，其中超过80%涉及智能体技术。
他强调，AI时代亟需技术、业务与安全能力兼备的复合型人才。为此，评选积极联动全国多个产教融合联合体，共同构建“教、产、研”协同培养生态。同时，基于纳米AI平台赋能，本届评选深度整合全部申报材料，创新推出“智能体专家”，旨在为产业提供持续可追溯的决策参考与人才洞察，切实推动创新成果与产业需求深度融合。
随后，赛博英杰创始人兼CEO谭晓生与数世咨询创始人李少鹏分别以《新一代人工智能对网络安全产业的重塑》、《数字安全企业创新与发展之路》为题，全面解析了AI浪潮下的行业变革，为数字安全的未来发展提供了前瞻洞见与务实策略。
围绕科技创新与产业创新融合的核心议题，悬镜安全CCO董毅与山石网科安全计算与运营产品线产品总监朱凯数字供应链安全治理、智能体重塑安全等角度，分享了各自在实践中的领先应用成果与行业思考。
校企协同推动科教融汇
智能体人才培养计划发布
为进一步培育具备高水平实践能力的复合型AI智能体人才，本次创新百强颁奖典礼现场正式发布了《360人工智能智能体工程师标准及认证》，率先构建起产教融合、科教融汇的新型合作平台。
360集团高级副总裁、数智化集团CEO殷宇辉，360集团首席科学家、360数字安全集团CTO潘剑锋，360数字安全集团副总裁、ISC.AI品牌主理人卜思南等企业代表，与青岛恒星科技学院大数据与智能信息工程学院党总支书记朱成波，北京信息职业技术学院产业互联网学院院长徐振华，湖南科技职业学院软件学院副教授任科，毕节职业技术学院党委委员、副院长王天军，北京北大方正软件职业技术学院助理校长、人工智能学院院长彭晓东等校方代表，共同见证了该计划的发布，此举标志着校企双方在推动科研与实践深度融合方面迈出了关键一步。
未来，ISC.AI将进一步携手校企，深化产学研协同，共同探索智能体人才培养新路径，持续完善新质人才赋能体系，致力于打造数字创新人才高地，为科技与产业深度融合提供有力支撑。
创新百强榜单揭晓
智能体专家赋能行业前瞻
基于“AI智能体+跨域专家团”双轮驱动的协同评审机制，本届评选结果在产业与学术界的多位专家见证下正式揭晓。数字安全、人工智能安全与人工智能三大赛道的百余家优秀企业荣登年度创新百强榜单，树立了行业创新发展的新标杆。
同时，重庆大学、广东科技学院、湖南科技职业学院、青岛恒星科技学院基于在推动科技进步与产学研融合方面的突出贡献，荣膺“科创杰出成果奖”。
随后，中关村朝阳园管委会产业促进一处处长陈磊与360数字安全集团总裁胡振泉共同揭晓了“创新力十强”获奖厂商，进一步聚焦并彰显了产业内的顶尖创新力量。
此外，本届评选深度融合评审结果与行业调研数据，在颁奖典礼上重磅发布了两项关键成果：《ISC.AI 2025创新性案例》与《ISC.AI 2025创新能力全景图谱》。同时，所有评审过程中积累的企业数据、解决方案、榜单信息以及落地成果，均已收录于“ISC.AI 2025创新百强智能体专家”。该智能体将为行业用户、投资机构及相关单位提供持续洞察，助力精准把握创新动向、明晰技术开发生态、研判产业发展态势。
未来，随着智能体技术持续向自主化、协同化与场景化演进，其将成为驱动数字化转型向纵深发展的核心引擎。在此趋势下，ISC.AI创新百强将持续发挥其作为产业创新“连接器”与“加速器”的关键作用，通过构建开放协同的智能生态、促进技术成果与产业需求高效对接，发掘并培育更多创新力量，为数字中国建设注入持续动能。
As 2025 comes to a close, artificial intelligence (AI) is a clear throughline across enterprise organizations. Many teams are still in the thick of implementing AI or deciding where and how to use it. Keeping up with usage trends and developments on top of that has become increasingly difficult. AI innovation moves fast and LLMs permeate core workflows across research, communication, development, finance, and operations. Security teams are left chasing risks that shift as quickly as the technology.Zscaler ThreatLabz publishes annual research to help enterprises make sense of the fast-evolving AI foundation model landscape. The upcoming ThreatLabz 2026 AI Security Report will provide visibility into organizational AI usage, from the most-used LLMs and applications to regional and industry-specific patterns and risk mitigation strategies. What follows is a sneak peek into some of this year’s preliminary findings through November 2025. The full 2026 AI Security Report, including December 2025 data and deeper analysis, will be available next month. The data and categories shared in this preview reflect the current state of our research findings and are subject to be updated, added to, excluded, or recategorized in the final report.OpenAI dominates enterprise AI traffic in 2025Figure 1. Top LLM vendors by AI/ML transactions (January 2025–November 2025) OpenAI has held the top position among LLM vendors by an overwhelming margin to date in 2025, accounting for 113.6 billion AI/ML transactions, more than three times the transaction volume of its nearest competitor. GPT-5’s August release set a new performance bar across coding assistance, multimodal reasoning, and other capabilities that integrate into business functions. Just as importantly, OpenAI’s expanded Enterprise API portfolio (including stricter privacy controls and model-isolation options) has solidified OpenAI and GPT-powered capabilities as the “default engine” behind countless enterprise AI workflows. Everything from internal copilots to automated research agents now lean heavily on OpenAI’s stack, keeping it far ahead of the rest of the field.OpenAI’s dominance carries important implications for enterprise leaders, which will be explored in greater detail in the upcoming report:How vendor concentration impacts risk: The heavy reliance on OpenAI underscores growing vendor dependency within many organizations; transaction flow data shows that businesses may be relying on OpenAI even more than they realize.Hidden AI uses across workflows: Transaction categories reveal that LLM interaction is no longer limited to visible tools like ChatGPT. AI underpins everything from automated meeting summaries in productivity suites to behind-the-scenes copilots in common SaaS platforms.Codeium (Windsurf as of April 2025) emerged as the second-largest source of enterprise LLM traffic in 2025, with strong adoption of its proprietary coding-focused models. As enterprises increased their use of AI in software development, Codeium’s models are a go-to option for engineering teams, especially in secure development environments.Perplexity rose to the #3 position. Not only an AI-powered search assistant, Perplexity is also an LLM provider offering proprietary large language models that power its answer engine.Anthropic and Google currently round out the top five LLM vendors by transaction volume. Despite generating only a fraction of OpenAI’s activity, both LLMs played meaningful and differentiated roles in the 2025 enterprise AI landscape. Anthropic saw expanding adoption of its Claude 3 and 3.5 models over the past year, along with a July launch of Claude for Financial Services that further strengthened its position in compliance-heavy environments. Google also accelerated enterprise adoption through major enhancements to Gemini, including improved multimodal capabilities and security and access controls tailored for corporate deployments. It will be interesting to see how the adoption changes as we head into 2026.Engineering leads AI usage among core enterprise departmentsThreatLabz also mapped AI/ML traffic to a select set of common enterprise departments. Only applications with at least one million transactions and primarily associated with a specific department were included in the following analysis, and percentages reflect usage relative to these departments only, not total enterprise traffic.Distribution of AI usage across these core departments offers a directional view into enterprise AI adoption:Suggesting where AI has become operational, not just experimental.Indicating which business functions generate the highest volume of unique AI activity, signaling deeper integration into day-to-day operations.Highlighting potential areas of risk, as sensitive functions in R&D, engineering, legal, and finance increasingly depend on AI applications and LLM-driven workflows.Within this scoped view, Engineering accounts for 47.6% of transactions to date, making it the largest driver of enterprise AI activity among the departments analyzed by ThreatLabz. IT follows at 33.1%. Usage among these teams adds up quickly; everyday tasks like coding, testing, configuration, and system analysis lend themselves to repeated AI interactions. Engineering teams in particular integrate AI into daily build cycles, where even small efficiency gains compound quickly across releases. Marketing ranks third in AI usage among core enterprise departments, with Customer Support, HR, Legal, Sales, and Finance collectively accounting for the remaining share. Regardless of the variance, AI now clearly spans the entire enterprise, driving new efficiencies in workflows and productivity—even as it introduces new security requirements. High-volume applications demand the highest security attention2025 has been another year marked by the push-and-pull between rapid AI adoption and the need for more deliberate oversight. Accordingly, the rise in AI transactions has not translated neatly into unrestricted use. In many case, the applications responsible for the growth in LLM activity are also the ones triggering the most blocks by enterprises.This trend has played out across many categories of applications, including popular general AI tools like Grammarly and more specialized function-specific tools like GitHub Copilot. These are just two examples of applications appearing at the top of both transaction volume and block lists. Their proximity to sensitive content (whether business communications or proprietary source code) make them natural flashpoints for security controls.The upcoming ThreatLabz 2026 AI Security Report will feature further analysis on blocking trends.AI threats and vulnerabilities evolve alongside enterprise adoptionAs enterprises expand their use of GenAI applications and security teams block more AI traffic, the threat landscape is moving just as quickly. ThreatLabz continues to analyze how AI-driven threats are scaling alongside enterprise adoption. In addition to amplifying familiar techniques like social engineering and malvertising, attackers are beginning to operationalize agentic AI and autonomous attack workflows and exploit weaknesses in the AI model supply chain itself. The upcoming report will cover AI threats and risks in more detail, along with actionable guidance for enterprise leaders on how to effectively secure usage and stop AI-powered threats.Coming soon: ThreatLabz 2026 AI Security Report The findings shared here are just the start. The full ThreatLabz 2026 AI Security Report will be released in late January and offer comprehensive analysis of the enterprise AI landscape, including: AI data transfer trendsDLP violations and sensitive data exposureIndustry and regional adoption patternsBest practices for securing AIAI is now a fundamental aspect of how almost every business operates. ThreatLabz remains committed to helping enterprises innovate securely and stay ahead of emerging risks. Join us next month for the full report release and get the insights needed to secure your AI-driven future.
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Thousands of users in Japan and China faced widespread access and sign-in disruptions to Microsoft 365 and Copilot services early Thursday, stemming from a critical routing issue in the company’s infrastructure. Microsoft’s admin center status page confirmed the outage began around 12:00 AM UTC (8:00 AM JST / 8:00 AM CST), affecting a portion of […]
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