Core Insights - Castellum, Inc. has entered into a reseller agreement with Quarrio Corporation to provide TrustworthyAI™, an agentic AI platform designed for the federal government [1][3] - The partnership aims to enhance decision-making processes within government organizations by leveraging Quarrio's AI capabilities [2][3] Company Overview - Castellum, Inc. specializes in cybersecurity, electronic warfare, and software engineering services, primarily focused on the federal government [4] - Quarrio Corporation offers a deterministic multi-agent AI platform that provides real-time access to accurate information from various data sources, facilitating informed decision-making [3] Strategic Implications - The collaboration is expected to improve the efficiency of government operations by utilizing AI for information retrieval and KPI monitoring [2][3] - Castellum's CEO expressed optimism about the partnership, highlighting the potential for enhanced insights from the vast amounts of data generated by government entities [2]

Core Viewpoint - The Schall Law Firm is investigating Fortinet, Inc. for potential violations of securities laws, particularly regarding misleading statements and undisclosed information that may have affected investors [1][2]. Group 1: Investigation Details - The investigation centers on whether Fortinet issued false or misleading statements and failed to disclose critical information to investors [2]. - Fortinet's Q2 financial results, reported on August 6, 2025, have raised concerns among investors, particularly regarding the company's statement that 40% to 50% of its accelerated firewall refresh, estimated at $450 million and 650,000 units, was completed [2]. - Following the Q2 results and the confusion surrounding product revenue growth, Fortinet's shares dropped by 25.3% on August 7, 2025 [2].

Second Quarter 2025 Earnings You should not rely on forward-looking statements as predictions of future events. The events and circumstances reflected in the forward-looking statements may not be achieved or occur. Although the Company believes that the expectations reflected in the forward-looking statements are reasonable, it cannot guarantee that the future results, performance, or events and circumstances reflected in the forward-looking statements will be achieved or occur. These forward-looking statem ...

在实时生产环境中进行的超 1.6 亿次攻击模拟揭示，企业有效凭证极易窃取且几乎无法阻断旧金山, Aug. 11, 2025 (GLOBE NEWSWIRE) -- 领先的安全验证公司 Picus Security 今日发布 Blue Report™ 2025，报告基于在实时生产环境中进行的超过 1.6 亿次真实攻击模拟。 这是 Blue Report™ 的第三份年度报告，它用一份数据驱动评估，揭示了安全管控措施在当前威胁下的性能表现——而今年的研究结果显示出迄今为止最严峻的局面。 尽管网络攻击的量级与复杂性同步攀升，防御效能却在持续下滑。 本年度的数据尤其令人忧心：在 46% 的受试环境中，至少一个哈希密码遭到破解；同时，仅有 3% 的数据外泄模拟攻击被成功阻断，而在 2024 年则有 9%。 综合以上趋势可知，如有单个凭证遭到泄露，即可快速引发横向移动与大规模数据窃取。 随着信息窃取类恶意软件数量激增三倍，加上有更多攻击者能够通过有效登录绕过防御，企业面临着持续不断且近乎隐形的威胁升级。 Picus Security 联合创始人兼 Picus Labs 副总裁 Süleyman Ozarslan 博士表示： ...

Core Viewpoint - Telos Corporation has released its second quarter financial results for 2025, highlighting its position as a leading provider of cybersecurity, cloud, and enterprise security solutions for highly security-conscious organizations [1][3]. Financial Results - The financial results for the second quarter of 2025 are available on Telos' investor relations website [1]. - A live webcast to discuss these results is scheduled for August 11, 2025, at 9:30 a.m. ET [2]. Company Overview - Telos Corporation specializes in continuous security assurance for individuals, systems, and information, serving commercial enterprises, regulated industries, and government customers globally [3]. - The company's offerings include IT risk management, information security, cloud security solutions, identity and access management, secure mobility, organizational messaging, and network management and defense [3].

Bethsda, MD, Aug. 11, 2025 (GLOBE NEWSWIRE) -- SANS Institute, the global leader in cybersecurity training and certification, has announced the full agenda for SANS Network Security 2025, taking place September 22-27 at Caesars Palace in Las Vegas. The event will spotlight critical topics shaping the cybersecurity field today, including vulnerability chaining, cloud fraud detection, and mobile forensics, through a blend of hands-on training, expert keynotes, and exclusive community events.   Anchoring the a ...

Fortinet (NASDAQ: FTNT ), one of the world's cybersecurity leaders, represents an attractive long-term investment opportunity with a Buy rating recommendation. The company combines a rare combination of sustainable growth and high profitability for the sector: revenue in the second quarterHi there! I’m Narek, and I’ve been in the investment world for over six years. I started out as an equity analyst at European banks, digging into reports and learning how to spot value in the markets. I’ve worked across se ...

Group 1 - The management of the company has successfully navigated the rapidly changing cybersecurity market, positioning itself for future growth despite facing some challenges [1] - The investment analyst focuses on technology sectors such as semiconductors, artificial intelligence, and cloud software, indicating a strong emphasis on innovation and technological advancement [1] - The analyst also covers additional sectors including MedTech, Defense Tech, and Renewable Energy, showcasing a diverse research portfolio [1] Group 2 - The analyst has a background in leading teams at major technology firms like Apple and Google, which adds credibility to the research and insights provided [1]

Core Viewpoint - The security industry is transitioning from a rapid integration model of general large models to a specialized and in-depth development phase, necessitating the creation of dedicated vertical large models tailored for the security field [1][3]. Industry Trends - The exploration of large models in the security sector has shifted significantly from an initial model that combined general large models with security knowledge bases and tools to a more specialized approach [3]. - The unique characteristics of the security field demand higher technical requirements, including the deep transformation and absorption of high-value professional data and the localization of expert experience [3][4]. Methodology - The "fast and slow thinking" methodology is central to 360's approach, categorizing security tasks into "fast thinking" and "slow thinking" tasks to redefine the capabilities of large models [5]. - "Fast thinking" corresponds to intuitive judgments based on vast training data, while "slow thinking" involves complex reasoning tasks that require factual knowledge and external tools [5]. Practical Breakthroughs - 360 has focused on various security tasks, aiming for specialized models that outperform general large models in practical effectiveness [6]. - The first phase involved exploring vertical model structures and training methods tailored to specific security tasks, achieving a 99.42% accuracy rate in endpoint behavior analysis [6]. - The second phase introduced a "multi-expert collaborative (CoE)" large model architecture to address the challenges of multi-model collaboration and application costs [6]. - The third phase involved the development of the RL-LoRA training framework in collaboration with Berkeley BAIR, significantly reducing training costs and improving efficiency [7]. Intelligent Agent Development - 360's intelligent agent practice has evolved through two phases, focusing on the precise implementation of complex expert experiences and enhancing autonomous decision-making capabilities [8]. - The first phase utilized a workflow platform to integrate expert experiences with large model capabilities, achieving results comparable to human experts [8]. - The second phase involved the creation of a "Monte Carlo associative tree intelligent agent," enabling strategic thinking and dynamic problem-solving capabilities [8].

Alphabet's independent growth fund made a huge gain on this big AI winner over the last decade. Alphabet (GOOG 2.44%) (GOOGL 2.48%) is one of the biggest spenders on artificial intelligence (AI) in the world. During its second-quarter earnings call, CFO Anat Ashkenazi said that it would spend $85 billion this year on capital expenditures, up from her prior outlook of $75 billion. Two-thirds of that would go toward servers for training and running large language models. But Alphabet is also heavily invested ...