近日，2025年第十一届国家网络安全宣传周重要活动在云南昆明成功举行，腾讯安全亮相同期网络安全博览会， 集中展示其在AI安全、网络安全、国产融合创新等领域的突破性成果，并重磅发布腾讯云大模型与智能体安全全 景图。同时，腾讯安全还参与了网络安全宣传周多个分论坛活动，向与会的企业组织代表展示安全建设的腾讯经 验。作为国内互联网安全的领先品牌，腾讯安全正在将全栈安全能力迁移至更多领域，通过"内生安全"与"外赋赋 能"的双轮驱动，致力于为千行百业打造"数字盾牌"，推动数智时代安全防线升级与国产生态融合。 拥抱智能，安全是底气 我们已然迈入以大模型为核心驱动力的AI时代，当下，AI不仅超越图灵测试，实现类人化交互，成为下一轮经济 增长的关键引擎，为解决产业痛点提供全新思路；同时，人工智能与其他创新技术一道重塑各行各业的过程中， 也伴随着不断演变的网络威胁。从攻防视角来看，大模型安全风险贯穿AI技术从数据采集到最终应用的完整生命 周期，其多样性与严重性早已在多个典型案例中尽显无遗。面对大模型驱动的新型攻击，传统防御体系已捉襟见 肘，构建AI时代的纵深防线刻不容缓。在大模型的应用上，腾讯覆盖了从底层技术研究、企业服务到终端 ...

Core Viewpoint - The company is actively advancing research and implementation of post-quantum cryptography and privacy computing solutions, targeting key industries such as banking, insurance, and telecommunications [1] Group 1: Post-Quantum Cryptography - The company is continuously progressing in post-quantum cryptography algorithm research, migration, and industry application [1] - The company has obtained relevant patents for key technologies in post-quantum cryptography [1] - Multiple core products support post-quantum cryptography algorithms, facilitating their replacement and migration in critical business scenarios for clients in banking, insurance, telecommunications, and securities [1] Group 2: Privacy Computing - The company has launched the NetPEC privacy computing platform and secured related technical patents [1] - The platform enables collaborative computing, data fusion, and joint modeling among multiple institutions, enhancing the ability to extract and utilize the immense value of data elements [1] - The company addresses two major issues: data silos and data privacy protection, promoting data security integration and shared circulation in finance, insurance, and government sectors [1] Group 3: Cloud Native Security - The company does not currently offer cloud-native security products, but its existing security products support cloud-native environments [1]

Core Insights - The core viewpoint of the articles highlights the significant challenges faced by the cybersecurity industry, particularly the financial struggles of leading companies like Qihoo 360, which reported a loss exceeding 1.3 billion yuan in 2024, reflecting a saturated market and intense competition [1][4]. Group 1: Industry Challenges - The cybersecurity industry is experiencing a "red ocean" dilemma characterized by market saturation, price competition, and tightening customer budgets, leading to a decrease in project availability [1][3]. - Major cybersecurity firms are reporting substantial losses, with Qihoo 360's loss of over 1.3 billion yuan and other firms like Green Alliance Technology and Starry Stone Network also facing losses ranging from 100 million to 400 million yuan [4]. - The shift in client behavior is evident as enterprises are increasingly developing their own cybersecurity solutions, reducing reliance on external vendors [3][8]. Group 2: AI Integration and Future Opportunities - Leading cybersecurity firms are investing in AI technologies, launching products like Qihoo 360's "Q-GPT" and Green Alliance Technology's "Fengyunwei," indicating a strategic pivot towards AI-enhanced security solutions [2][7]. - The emergence of generative AI is reshaping the threat landscape, with attackers leveraging AI to enhance the efficiency of phishing attacks and other cyber threats, thus necessitating a rethinking of defense strategies [5][6]. - Three potential growth markets for cybersecurity firms in the AI era include compliance-driven service upgrades, vertical industry-specific demands, and cloud-native security solutions, with the latter expected to grow at a compound annual growth rate exceeding 30% [6][5]. Group 3: Challenges of AI in Cybersecurity - The integration of AI into cybersecurity presents a dual challenge, as both attackers and defenders utilize AI, leading to a "cat-and-mouse" dynamic where the effectiveness of AI security products against zero-day attacks remains insufficient [7][8]. - Current AI security products have a low interception rate for zero-day attacks, and issues such as high false positive rates due to model "hallucinations" pose additional challenges for cybersecurity firms [7][8]. - The industry's ability to balance technological innovation with risk management will be crucial for firms to gain a competitive edge in the evolving cybersecurity landscape [7].