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Background for this topic.
Databases store and organize data electronically, enabling efficient retrieval and management. They often hold sensitive information such as user credentials, financial records, or personal details, making them prime targets for attackers. Common database types include relational databases using structured query language (SQL) and NoSQL databases designed for unstructured data.
Security risks include SQL injection attacks that exploit improper input handling to manipulate or extract data, and misconfigured access controls that allow unauthorized users to view or alter information. Protecting databases involves strict authentication, role-based access controls, encryption of data at rest and in transit, and timely application of security patches to database software. Monitoring query logs and access patterns helps detect suspicious activity that could indicate compromise or insider threats.
Cybersecurity Startup Exposed Lilli Using a Flaw as Old as the WebSecurity startup CodeWall disclosed this week that its autonomous AI agent breached McKinsey's internal AI platform Lilli in two hours on Feb. 28, accessing tens of millions of messages and hundreds of thousands of files through a basic, years-old database flaw.