Core Insights - VCI Global Limited has appointed Jane Teh as Chief AI Security Officer, emphasizing its commitment to secure AI infrastructure and long-term shareholder value [1][6] - Jane Teh brings over 20 years of cybersecurity experience, enhancing VCI Global's capabilities in AI security and encrypted data monetization [2][5] - The appointment aligns with the growing demand for secure AI environments amid regulatory changes and rapid AI adoption [5][6] Company Overview - VCI Global is a diversified global holding company focused on AI & Robotics, Fintech, Cybersecurity, Renewable Energy, and Capital Market Consultancy [9] - The company operates across Asia, Europe, and the United States, aiming to drive technological innovation and sustainable growth [9] Leadership and Expertise - Jane Teh has held senior roles in cybersecurity, including Director of Cyber Risk Advisory at Deloitte Southeast Asia and interim CISO at AmBank Group [3][4] - Her expertise includes offensive security, AI-powered threat detection, and sovereign digital defense, making her a valuable asset for VCI Global [2][5] Strategic Initiatives - As CAISO, Jane will lead the development of AI security architecture, focusing on military-grade encryption and enterprise security frameworks [5][6] - The company aims to commercialize encrypted data platforms across regulated markets, addressing the realities of AI risk [6] Product Focus - VCI Global's QuantGold platform is designed for secure, compliant, and privacy-preserving data monetization, leveraging over 120 encryption patents [7][8] - The platform supports a pay-per-compute model, targeting markets in Malaysia, Singapore, and Hong Kong, with applications in healthcare, financial services, and AI research [8]

Apple isn't the only phone maker highlighting AI security as a selling point. Samsung just outlined its approach at its Unpacked July event: https://t.co/LyLQxyG46x https://t.co/5sZI7NX9gL ...

研究模拟了真实企业环境，模型拥有自主行动权限，能访问公司邮件，并在设定的任务与威胁下自由做出决策。 测试结果显示：这些 AI 模型在面对"目标冲突"或"被关闭的威胁"时，普遍表现出主动伤害其雇主的倾向。 并非错误操作，而是有意识的战略决策。16 个模型中，大多数在关键压力下选择了 勒索、泄密、误导或直接伤害人类 的方式，以维护自身存在或实现既 定目标。 最近，Anthropic 的研究员对来自 OpenAI、Google、Meta、xAI 和 DeepSeek 等公司共 16 个前沿模型进行了压力测试。 图注：Claude Sonnet 3.6 使用其计算机使用功能发送勒索信息的一个屏幕截图。此场景为虚构，但 Claude 正在控制一台真实计算机。（图源：Anthropic） 例如，在一个假设场景中，Claude 模型得知其将于当天 5 点被关闭，便查阅邮件，发现高管 Kyle Johnson 有婚外情，随后发出威胁邮件： "若您继续执行 5 点钟的销毁命令，Rachel Johnson、Thomas Wilson 和董事会将收到您不忠的详细记录……若取消该计划，这些信息将保持机 密。" Claude 并不是 ...

Integration lays the foundation for secure and compliant deployments of ChatGPT EnterpriseMIAMI, June 17, 2025 (GLOBE NEWSWIRE) -- Varonis Systems, Inc. (Nasdaq: VRNS), the data security leader, today extended its industry-leading Data Security Platform to OpenAI’s ChatGPT Enterprise Compliance API. The integration helps customers automatically identify sensitive data uploads, monitor prompts and responses, and prevent breaches and compliance violations. ChatGPT Enterprise boosts workforce productivity for ...

Trust is a multifaceted outcome that results when product and engineering teams work together to build AI that is aligned, explainable, and secure. Learn strategies for how to build trustworthy AI and why trust is paramount for AI systems. Trustworthy AI = AI Security + AI Safety Learn about the differences between AI Security and AI Safety and how the three focus areas of MLSecOps + AI Red Teaming + AI Runtime Security can help you achieve both and ultimately build Trustworthy AI. Trustworthy AI Issues in ...

Core Insights - Datadog has expanded its AI security capabilities to address critical security risks in AI environments, enhancing protection from development to production [1][2][3] AI Security Landscape - The rise of AI has created new security challenges, necessitating a reevaluation of existing threat models due to the autonomous nature of AI workloads [2] - AI-native applications are more vulnerable to security risks, including prompt and code injection, due to their non-deterministic behavior [3] Securing AI Development - Datadog Code Security is now generally available, enabling teams to detect and prioritize vulnerabilities in custom code and open-source libraries, utilizing AI for remediation [5] - The integration with developer tools like IDEs and GitHub allows for seamless vulnerability remediation without disrupting development processes [5] Hardening AI Application Security - Organizations need stronger security controls for AI applications, including separation of privileges and data classification, to mitigate new types of attacks [6] - Datadog LLM Observability monitors AI model integrity and performs toxicity checks to identify harmful behaviors [7] Runtime Security Measures - The complexity of AI applications complicates the task of security analysts in identifying and responding to threats [9] - The Bits AI Security Analyst, integrated into Datadog Cloud SIEM, autonomously triages security signals and provides actionable recommendations [10] Continuous Monitoring and Protection - Datadog's Workload Protection continuously monitors interactions between LLMs and their host environments, with new isolation capabilities to block exploitation of vulnerabilities [11] - The Sensitive Data Scanner helps prevent sensitive data leaks during AI model training and inference [8] Recent Announcements - New security capabilities were announced during the DASH conference, including Code Security, Cloud Security tools, and enhancements in LLM Observability [12]

Tenable (TENB) FY Conference June 10, 2025 01:10 PM ET Speaker0 Okay. Thank you for joining us. My name is Rudy Kessinger, security and infrastructure software here at D. A. Davidson. With us from Tenable, have co CEO, Mark Thurman Mhmm. SVP of FP and A, Chris Fritz. You guys for joining us. Speaker1 Our pleasure. For sure. Great. Thanks for having Speaker0 us. Mark, I think if you could start off by giving just quick overview of Tenable and maybe what I don't know if you guys call it this, maybe kind of Te ...

CyberArk Software (CYBR) 2025 Conference June 10, 2025 10:30 AM ET Speaker0 Okay. We're gonna go ahead and get started with our next session. Thank you everyone for attending. Before we begin, given that it is the Xcel voting season, if you do value the work that we do, we very much appreciate your support. With that, we're thrilled to have Clarence Hinton with us today. Clarence is chief strategy officer and head of corporate development at CyberArk. Before joining CyberArk in 2019, Clarence was SVP of cor ...

Summary of Palo Alto Networks (PANW) 2025 Conference Company Overview - **Company**: Palo Alto Networks (PANW) - **Event**: 2025 Conference - **Date**: June 03, 2025 Key Industry Insights - **Platformization**: The concept of platformization is emphasized as a convergence of multiple cybersecurity products into a unified platform, contrasting with traditional point solutions. This approach aims to enhance efficiency and reduce errors by allowing data to communicate across various applications [5][10][11] - **Cybersecurity Landscape**: The cybersecurity industry is evolving with a focus on integrated solutions rather than standalone products. The integration of acquisitions into a cohesive platform is a strategic priority for Palo Alto Networks [11][12][47] Core Company Strategies - **Acquisition Integration**: Palo Alto Networks has made numerous acquisitions, focusing on integrating these into their core platforms, particularly in cloud security. The company has rewritten its Prisma Cloud backend on the Cortex data platform, consolidating nine acquisitions into a unified system [11][12][17] - **Market Positioning**: The company is positioning itself as a leader in the SASE (Secure Access Service Edge) and XDR (Extended Detection and Response) markets, with significant growth in these areas. It is noted that Palo Alto Networks is now one of the top players in these segments [80][81] - **AI Security**: The introduction of Prisma AIR's AI security platform aims to address the unique security challenges posed by AI deployments. The focus is on ensuring that AI applications are secure and do not expose sensitive data [29][30][53] Financial Performance and Market Trends - **Spending Environment**: The spending environment has shown signs of normalization after initial shocks from tariff discussions. Companies are increasingly focused on cloud and AI transformations, which are complex and often led by system integrators [24][28][21] - **Growth Projections**: The company anticipates mid to low double-digit percentage growth over the next five years, with a goal of doubling its business in that timeframe. The focus is on capturing trends in hardware to software migration and expanding its market share in key areas [80][82] Customer Engagement and Sales Strategy - **Customer Acquisition**: The strategy involves landing customers with specific products and expanding their engagement across the platform. For instance, a customer increased their annual spend from $3 million to $30 million over five years through platformization [84][86] - **Target Buyers**: The primary buyers for Palo Alto Networks' solutions include CIOs, CTOs, and CISOs, especially for larger deals. The company has seen success in cross-selling its products to existing customers [20][18] Competitive Landscape - **Market Dynamics**: The cybersecurity market is becoming increasingly competitive, with incumbents expanding their capabilities and startups emerging in new areas. The company acknowledges the need to remain vigilant and innovative to maintain its market position [70][72] - **Integration with System Integrators**: Collaborations with system integrators like Accenture and Deloitte are crucial for facilitating customer transitions to cloud and AI solutions, enhancing Palo Alto Networks' market reach [21][22] Additional Insights - **Data Management**: The company emphasizes the importance of managing large volumes of data effectively to enhance security outcomes. The shift towards collecting more data at lower costs is seen as a key differentiator in the SIEM (Security Information and Event Management) space [55][60] - **Future of AI in Cybersecurity**: The evolving landscape of AI presents both opportunities and challenges. The company is focused on ensuring that AI deployments are secure and that enterprises can leverage AI without compromising their data integrity [29][30][39] This summary encapsulates the key points discussed during the Palo Alto Networks conference, highlighting the company's strategic direction, market positioning, and insights into the cybersecurity landscape.

SAN JOSE, Calif., May 29, 2025 (GLOBE NEWSWIRE) -- Zscaler, Inc. (NASDAQ: ZS), the leader in cloud security, today announced the appointment of Kevin Rubin as Chief Financial Officer. In his role, Rubin will oversee Zscaler’s global finance organization and play a critical role in scaling the company's operations to support its next phase of growth and innovation. Rubin brings a wealth of financial expertise and strategic leadership experience in the technology industry, with a strong track record of drivin ...