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CrowdStrike Shares Fall as AI Optimism Fails to Offset Growth Concerns

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CrowdStrike shares declined sharply after investors reacted cautiously to the company’s latest annual recurring revenue (ARR) growth figures, highlighting how elevated expectations around artificial intelligence are raising the performance bar across the cybersecurity sector.

Although CrowdStrike continued to deliver strong underlying growth, with ARR rising 22% year-over-year to $4.44 billion, the increase was not enough to satisfy a market that had aggressively rewarded the stock ahead of earnings. After a significant rally in recent weeks, investors were looking for an even stronger acceleration fueled by the company’s expanding AI product portfolio.

CrowdStrike has invested heavily in artificial intelligence, introducing new security offerings such as Falcon Data Security and the Charlotte AI AgentWorks Ecosystem. These platforms aim to automate threat detection, data protection, and security operations through AI-powered workflows, reflecting the broader transformation of cybersecurity into an increasingly autonomous discipline.

However, those investments are also driving higher operating costs. The company’s quarterly expenses rose substantially as it continued expanding AI capabilities and strengthening partnerships with major technology providers. Investors appeared concerned that the financial benefits of these investments may take longer to fully materialize.

The reaction also underscores a wider market dynamic. Cybersecurity companies are no longer judged simply on growth, but on whether AI investments produce measurable commercial acceleration. With rivals such as Palo Alto Networks also expanding AI-driven security platforms, competition for enterprise cybersecurity budgets continues to intensify.

Despite the short-term selloff, many analysts remain constructive on CrowdStrike’s long-term outlook, arguing that recurring subscription revenue, expanding AI adoption, and growing demand for advanced cyber defense solutions continue to support the company’s strategic position.

The results demonstrate that in the current AI investment cycle, even strong growth may not be enough if it falls short of increasingly ambitious market expectations.

Germany’s military rejects Palantir contracts for now

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Germany’s armed forces currently do not plan to award contracts to Palantir, according to senior cyber defense official Thomas Daum.

Daum said Germany is interested in advanced battlefield data analysis but remains unwilling, for now, to grant external industry personnel access to sensitive national military databases.

The stance reflects Germany’s caution around sovereignty, data security and control over defense infrastructure, even as militaries increasingly adopt AI-powered intelligence systems.

The decision contrasts with Palantir’s expanding role in the U.S., where its AI systems are becoming more deeply integrated into Pentagon operations.

Apple Tap-to-Pay Security Flaw Shown in Video: Locked iPhone Used in $10K Demo

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Video shows how to steal $10,000 from locked iPhone in controlled setting - 9to5Mac

A new security demonstration has raised concerns about Apple’s payment ecosystem after a YouTuber showcased a potential vulnerability affecting tap-to-pay functionality on iPhones. The issue reportedly allows a locked device to be manipulated in a way that simulates a legitimate payment interaction, without requiring the phone to be unlocked or directly authorized by the user.

Apple has long promoted its ecosystem as highly secure, particularly when it comes to features like NFC-based payments and Express Transit Mode. However, the demonstration suggests that under specific conditions, an attacker could potentially exploit a “man-in-the-middle” style setup to trick an iPhone into processing a payment as if it were interacting with a real point-of-sale terminal.

In the video, the creator—working alongside cybersecurity researchers—shows how specialized hardware can intercept and relay NFC signals. The setup reportedly uses a device connected to a computer to mimic a payment terminal, effectively convincing the iPhone that a legitimate transaction is taking place. The demonstration includes a test scenario involving a locked device, raising questions about how such interactions are validated.

The exploit, according to the video, is based on a concept that has been known in cybersecurity circles for several years, though it has now been presented in a more practical, real-world context. It highlights how NFC-based systems, while convenient, can still be vulnerable to relay attacks if security layers are bypassed or misinterpreted.

While there is no indication of widespread real-world abuse, the demonstration has sparked renewed discussion about mobile payment security and the importance of layered protections. It also underscores the ongoing challenge for companies like Apple to balance convenience features such as tap-to-pay with evolving security threats in mobile ecosystems.