Beyond the code·Nov 4Securing a 3-Node ClickHouse Cluster with TLS: A Step-by-Step GuideOut of the box, ClickHouse talks to clients and to its own replicas in plain text. That means every query, every result set, and every byte…
Christos Kuznos·Nov 3Stopping Data Loss at the source: How Oracle AI Database 26ai dandles DLPsMost DLP tools watch the exits: email gateways, endpoints, cloud proxies. But by the time data reaches those exits, it has already left the…
Vishesh Learn·Nov 1Prevent Data Loss in MongoDB: A Production Disaster You Can AvoidImagine this: Your production database has 1,000+ real users. The app has been running successfully for months. One day, you ask an AI…
Essam (8085.ai)·Oct 30Indirect Prompt Injections Will Breach Your Database: Why LLM Tool Parameters Are Vulnerable to…How untrusted input data manipulates model tool calls and the defensive application security architecture required to protect enterprise…
Essam (8085.ai)·Oct 29Silent Schema Drift Will Poison Your Production Database: Why Soft LLM Parsing Fails and How to…How unannounced API mutations cause invisible data corruption in AI agent workflows and the runtime validation architecture required to…
