Organizations need to internalize a simple principle: Calling an LLM API is a data transfer. You're trusting the provider ...
AI unlocks knowledge: AI platforms can now search, synthesize and surface insights from unstructured enterprise content, improving decision speed and quality. OSI bridges systems: The Open Semantic ...
Agentic AI has moved the threat boundary inside the enterprise. Mindgard's Aaron Portnoy explains why authority, not access, ...
Key Takeaways - AI agents can harvest, synthesize, and exfiltrate trade secrets through more than a dozen evasion techniques that generate ...
Google added more link surfaces to AI Search, but not new reporting for publishers. Studies continue to show lower clicks ...
Abstract: Threat modeling is an effective approach to fortifying security, where system designers model a target system and investigate potential security weaknesses during the design phase. To ...
Large Language Models (LLMs) such as GPT-4, Gemini-Pro, Llama 2, and medical-domain-tuned variants like Med-PaLM 2 have ...
Franz Inc., an early innovator in artificial intelligence (AI) and leading supplier of graph database technology for Neuro-Symbolic AI Solutions, is introducing AllegroGraph v9.0, featuring ...
LS&Co. introduced conversational analytics that allows employees to query the company’s data in their common language and ...
By integrating long-term memory, embeddings, and re-ranking, the company aims to improve trust in agent outputs.
Abstract: The data query for large-scale manufacturing product lifecycle provides the data basis for finding out the processes and causes of the quality problems. At present, lifecycle data query ...
Most enterprise AI fails not because the models are flawed, but because the data is fragmented across disconnected systems and ungoverned at the exact points where AI agents need to act, producing ...