Sensitive information includes data whose exposure can enable identity theft, fraud, privacy violations, or targeted cyberattacks.
Search across headline titles and summaries.
Background for this topic.
Sensitive information is data whose unauthorized access, disclosure, alteration, or loss could harm people, organizations, or public interests. It can include personal identifiers, authentication secrets, financial and health records, proprietary business data, and information protected by law or contractual duty. Sensitivity depends on context: a data set may be restricted because of privacy obligations, competitive value, safety concerns, or national-security classification.
For security practitioners, the key issue is controlling the data throughout its lifecycle—from collection and use to storage, sharing, archiving, and deletion. Excessive privileges, exposed databases, insecure transfers, application logs, backups, and compromised accounts can all reveal sensitive data. Useful controls include data classification, least-privilege access, strong authentication, encryption in transit and at rest, retention limits, and monitoring for inappropriate access or transfer. A suspected exposure requires identifying what data was affected, preserving relevant evidence, containing access, and assessing privacy or regulatory notification duties.
Cybersecurity researchers have flagged two malicious packages that were uploaded to the Python Package Index (PyPI) repository and came fitted with capabilities to exfiltrate sensitive information from compromised hosts, according to new findings from Fortinet FortiGuard Labs
The 2025 cybersecurity landscape is increasingly complex, driven by sophisticated cyber threats, increased regulation, and rapidly evolving technology. In 2025, organizations will be challenged with protecting sensitive information for their customers while continuing to provide seamless and easy user experiences. Here’s a closer look at ten emerging challenges and threats set to shape the