Tag: Enterprise Security

For decades, digital signature frameworks were anchored to a clear presumption: a natural person was seated at an authenticated workstation, deliberately executing an act of will. In statutory legal regimes—such as the United States Electronic Signatures in Global and National Commerce (ESIGN) Act, the Uniform Electronic Transactions Act (UETA), and the European Union’s Electronic Identification, […]

During the initial deployments of enterprise artificial intelligence, database interactions were read-only. Systems engineers integrated large language models with vector databases, indexed corporate wikis, and wired internal knowledge bases to Retrieval-Augmented Generation (RAG) pipelines. The model functioned as an advanced, context-aware search engine: it queried data, synthesized text, and presented findings to human users. The […]

In early enterprise deployments of generative artificial intelligence, safety was treated as a prompt engineering exercise. Platform teams appended natural-language caveats to the beginning of system prompts, instructing the model to remain polite, avoid sensitive topics, ignore adversarial instructions, and refuse to disclose proprietary instructions. The operational assumption was that reinforcement learning from human feedback […]