Insider threats involve trusted users misusing authorized access, causing data loss, fraud, disruption, or exposure of sensitive systems and records.
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Insider threat is the risk that someone with authorized access—such as an employee, contractor, partner, or former staff member—misuses that access, deliberately or accidentally. It can involve stealing sensitive data, abusing privileges, sabotaging systems, exposing information through mishandling, or enabling an attacker after an account is compromised. The defining issue is that activity may resemble legitimate work.
Security teams reduce this risk with least-privilege access, separation of sensitive duties, strong offboarding, and timely removal of unused accounts and credentials. Audit logs and access monitoring can help identify unusual downloads, privilege changes, or access outside a person’s role, while data-loss controls limit unauthorized movement of sensitive files. Monitoring should respect privacy and applicable employment or data-protection requirements. When suspicious activity is identified, response may include preserving logs, containing the account, reviewing accessed data, and coordinating security, legal, and human-resources processes.
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New research details how the increasing integration of AI agents into businesses is making it easier than ever for insiders - malicious or otherwise - to put sensitive data at risk. The post Your AI agent could become your biggest insider threat appeared first on CyberScoop.
Rethinking Insider Threats in the Age of Autonomous SystemsAI systems are no longer passive tools. They make decisions, execute multi-step workflows and access sensitive data repositories with minimal human intervention. They begin to resemble something security leaders understand very well yet are ill-equipped to manage in a digital form: insider risk.