Security news aggregator

Latest coverage for Incident

Incident coverage examines breaches, outages, and response failures to explain how security events affect systems, data, and organizations.

2 headlines in this view

Refine the feed

Search across headline titles and summaries.

Tag briefing

Background for this topic.

An incident is a suspected or confirmed event that threatens the confidentiality, integrity, or availability of information or systems, or violates a security policy. Examples include unauthorized access, malware execution, exposed credentials, data loss, and disruptive attacks. Not every alert is an incident: triage determines whether an event is credible, its scope, and the assets or data involved.

Incident handling requires timely detection, analysis, containment, eradication, and recovery. Practitioners must preserve relevant evidence, identify affected accounts and systems, assess whether data was accessed or altered, and prevent recurrence. Clear escalation and documentation support privacy or regulatory notifications when applicable. Findings should feed security improvements such as closing exploited vulnerabilities, strengthening access controls, and updating detection and response procedures.

Showing 2 most recent headlines Filtered view
Bank Info Security 3 months, 4 weeks ago

Worker Benefits Administrator Notifying 2.7M of Hack

Navia Benefit Solutions Says Potential Data Theft Took Place Over 3-Week PeriodA Washington-state based employee benefits administrator is notifying nearly 2.7 million individuals that their information, including health plan and personal details such as Social Security numbers, was potentially stolen in a hacking incident discovered in January.

Bank Info Security 4 months ago

OpenClaw Exposes Hidden Risks in Agentic AI

Attorney Jonathan Armstrong on Governance, Due Diligence and Shadow AI RiskThe OpenClaw incident highlights how experimental agentic AI tools can create hidden security and compliance risks. Attorney Jonathan Armstrong explains why CISOs must address shadow AI, strengthen oversight of developer experimentation and rethink how they assess AI vendor risk.