Enterprise AI deployments face significant challenges at the database layer rather than the model layer. The data stack was not designed for AI agents, resulting in rising costs and inefficiencies. A ...
In the previous article (Phase 1), we understood the mechanisms of embeddings and cosine similarity, and implemented vector search in Azure AI Search. However, do you remember that in the Phase 1 ...
Sysdig says JADEPUFFER used CVE-2025-3248 in Langflow to automate intrusion, credential theft, encryption, and data wipe.
One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...
The Metropolitan Police is to significantly expand use of AI, drones and facial recognition to ‘regain the advantage’ over criminals, but warns progress could be held back by legislation and data ...
The database a business depends on shouldn’t be a potential point of failure; it should be a competitive asset. That’s the proposition Cockroach Labs will put to enterprise architects and database ...
On June 5, 2026, the Miasma worm campaign reached Microsoft’s Azure GitHub organizations. GitHub disabled 73 repositories across four Microsoft GitHub organizations after a malicious commit was pushed ...
Blueprints for building AI agents, copilots, and RAG applications on Oracle AI Database@Azure using Microsoft Foundry, Copilot Studio, Fabric, and Oracle MCP -- with enterprise security, governance, ...
An interactive proof-of-concept that runs native search in Azure Cosmos DB for NoSQL over a contract-management corpus of agreements / envelopes. It demonstrates the search capabilities a search ...
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