The OWASP Top 10 is usually presented as a list of technical failures. Broken access control. Injection. Insecure design. Misconfiguration. Each category points to something that went wrong in the application. What it doesn’t say explicitly is what was actually at risk when it went wrong. In most real incidents, the answer is not “the application.” It’s the data inside it. Sensitive data is the reason attackers care about OWASP failures in the first place. Credentials.

Every 1Password account tells a story. For many of our customers, 1Password is one of the first purchases they make after starting a company.

WIRED reports that deepfake attacks are impersonating pastors and other religious figures in order to scam congregations. Father Mike Schmitz, a priest who hosts a podcast with over a million followers, warned his listeners in November that AI-generated deepfakes were using his likeness to fraudulently solicit donations. WIRED found that several of these fake accounts are still active on TikTok, and they appear when a TikTok user searches for Father Schmitz.

Leading secrets security platform sees accelerated adoption across Fortune 500, with 60% of new customers choosing multi-year commitments.

Content Security Policy looks like it was designed for PCI Requirement 6.4.3. You define which domains can load scripts on your payment page, the browser enforces it, and unauthorized code gets blocked. For teams drowning in third-party JavaScript, CSP feels like the obvious answer. Then you get to your audit, and the QSA starts asking questions CSP can’t answer.

A recent University of North Carolina Wilmington study tested whether general-purpose large language models could infer CVSS v3.1 base metrics using only CVE description text, across more than 31,000 vulnerabilities. The results show measurable progress, but they also expose a hard limit that matters far more than model selection: Model quality helps, but missing context sets a ceiling on reliability.

If you operate pharmaceutical websites, portals, adherence tools, or patient support platforms, client-side execution is part of your compliance surface. Analytics, pixels, chat interfaces, and third-party libraries stop being neutral once they run alongside condition-specific content, authenticated access, or patient-initiated actions. At that point, they participate in disclosure. OCR’s clarification on tracking technologies did not create new obligations.