Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The digital age has introduced both immense opportunities and unprecedented challenges for businesses. Data is a powerful asset, yet managing its governance, security, and compliance requires intricate strategies and solutions. Leveraging artificial intelligence (AI) in these areas has become a game-changer in transforming how organizations of all sizes approach their data capabilities.

An automotive supplier employs static analysis and Code Intelligence's Fuzz Testing to assess software within a separate business unit. The project comprises 10 million lines of C code, adhering to Classic AUTOSAR standards.

More than 80% of Fortune 500 companies rely on ChatGPT Enterprise, not just as a productivity tool, but as a platform for building custom GPTs, leveraging knowledge files, and enabling collaboration through Canvas. As AI Agent adoption accelerates across every corner of the enterprise, business users are innovating faster than ever, often without security oversight.

Today, CrowdStrike is releasing automated baseline enforcement and remediation in CrowdStrike Falcon for IT to secure misconfigured devices and consistently address vulnerabilities across endpoints. Operators can now centrally manage and enforce endpoint configurations across platforms to support security and compliance efforts.

On April 16, 2025, the cybersecurity community faced a potential crisis as U.S. government funding for the Common Vulnerabilities and Exposures (CVE) program, managed by MITRE and sponsored by the Cybersecurity and Infrastructure Security Agency (CISA), was set to expire.

In the modern, hybrid workplace, employees have more control than ever over the devices they use for their jobs. In fact, 56% of employees say that they have worked on a personal “bring-your-own” device (BYOD) in the last year. This is despite the fact that 89% of security pros say that their company doesn’t allow BYOD. Clearly, there’s a disconnect between security policies and worker behaviors.

File integrity refers to maintaining the accuracy, reliability, and security of digital files. As part of file integrity, the data contained in a file should remain unchanged except for authorized modifications. A file maintains integrity if the file is uncorrupted and has not been changed or tampered with in any manner. File integrity is of utmost importance for firms that utilize data for decision-making, financial transactions, and compliance purposes.

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