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Latest coverage for Theft

Theft in cybersecurity covers stolen data, credentials, devices, and funds, often creating risks of unauthorized access, fraud, and privacy loss.

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Unauthorized taking or copying of information, credentials, intellectual property, or digital assets is cyber theft. News under this tag may involve stolen passwords, payment data, personal information, source code, cloud tokens, cryptocurrency, or sensitive business files. Theft can result from phishing, malware, compromised accounts, insider access, exposed storage, or the loss of an unencrypted device; the relevant issue is the unauthorized acquisition or control of an asset, whether or not the attacker also alters systems.

Security teams should identify where valuable data and credentials are stored, restrict access by role, require strong authentication, encrypt data at rest and in transit, and monitor unusual downloads or transfers. Vulnerability management matters when flaws expose databases, endpoints, or cloud services to unauthorized retrieval. After suspected theft, preserving logs, revoking tokens and credentials, determining what was accessed or copied, and assessing privacy or notification obligations are central to containing the incident and measuring its impact.

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AT&T Corp. disclosed today that a new data breach has exposed phone call and text message records for roughly 110 million people -- nearly all of its customers. AT&T said it delayed disclosing the incident in response to "national security and public safety concerns," noting that some of the records included data that could be used to determine where a call was made or text message sent. AT&T also acknowledged the customer records were exposed in a cloud database that was protected only by a username and password (no multi-factor authentication needed).

In today's digital age, passwords serve as the keys to our most sensitive information, from social media accounts to banking and business systems. This immense power brings with it significant responsibility—and vulnerability