Capital One Software's Approach to Secure AI Adoption

The pace of change at Lovable is remarkable, and today they just released Model Context Protocols (MCP) functionality. They let AI connect directly to your data, tools, and systems in a standard way. Running on your own machine or infrastructure means faster performance, better security, and complete control over sensitive data. For anyone building serious applications (especially in areas like risk, finance, or projects), this more efficiently shifts AI from generic answers to truly context aware, private, and enterprise ready intelligence.

AI agents are only as reliable as the data they act on, and that’s where risk is rapidly emerging. In this EMA Impact Brief, Herb Blecher explores how Actian is addressing this challenge with the launch of Data Observability Agents and an MCP server, designed to validate data quality at the moment AI-driven decisions are made. Read the full analysis: https://lnkd.in/gYfRmbJz

In my latest interaction, I shared my view on how the future of enterprise intelligence is anchored in cohesive, governed architectures that scale sustainably. Enterprise General Intelligence represents a systems-level paradigm where governance, modularity, and infrastructure elasticity are engineered into the core fabric. Financial institutions are advancing agentic ecosystems built on event-driven infrastructure, dynamic model orchestration, and governance-as-code frameworks. Resilience emerges from a modular control plane that unifies interoperability, observability, and continuous domain knowledge transfer between humans and AI agents. The goal is to engineer systems capable of autonomous execution while operating strictly within enterprise-defined guardrails agents that coordinate across business functions, ingest live signals, and adapt their decision logic over time. The result is an intelligent enterprise fabric that extends human cognition, enforces compliance by design, and converts orchestration precision into measurable business acceleration at scale. https://lnkd.in/ebvMWfDh

Fresh from the dialogues at EthCC, Amber Group CEO Michael W. outlines a world where financial services evolve into agent-native operating systems. He argues that three converging forces are quietly reshaping the architecture of our industry: 1️⃣ AI as a high-velocity workflow engine. 2️⃣ Digital asset infrastructure as mature, "always-on" plumbing. 3️⃣ Institutional demand for the rare combination of speed and trust. Read the full insight on CoinsPaid Media to understand why the unit of change is no longer a clever feature, but a semi-automated workflow: 🔗 https://lnkd.in/edjftq4a

#SenseAlpha #Officially At Sense Alpha, We’re building at the intersection of privacy, intelligence, and financial infrastructure. Global financial systems are facing a structural contradiction: Alpha depends on granular data, yet privacy constraints prevent centralization. This results in an estimated $15–20B in annual inefficiencies driven by signal loss, latency, and alpha decay. Our approach introduces a new layer — Federated Client Intelligence (FCI) — where intelligence moves to the data, not the other way around. Alongside this, the DLPA framework enables computational enforcement of policy, reducing reliance on manual audit trails. "This is not an application layer innovation. It is an infrastructure shift." We’re currently advancing this architecture and engaging with a small group of aligned partners and investors who understand the implications of decentralized intelligence in financial systems. If this resonates with your thesis or investment focus, I’d be glad to connect. #FCI #DeepTech #AIInfrastructure #FinTech #AlphaDecay

Most enterprises are sitting on a goldmine of proprietary information that’s too sensitive to touch. In the race to scale GenAI, this data can be a great differentiator, but for many, it’s their biggest bottleneck. At RSAC 2026, SVP of Product, Prashant Prahlad, sat down with theCUBE to discuss how Capital One Software is helping organizations move past the false choice between data security and AI innovation. Watch the full conversation to see how Capital One Databolt is helping teams put their most valuable data to work. https://bit.ly/48MNFs9

Most enterprises are sitting on a goldmine of proprietary information that’s too sensitive to touch. In the race to scale GenAI, this data can be a great differentiator, but for many, it’s their biggest bottleneck. At RSAC 2026, SVP of Product, Prashant Prahlad, sat down with theCUBE to discuss how Capital One Software is helping organizations move past the false choice between data security and AI innovation. Watch the full conversation to see how Capital One Databolt is helping teams put their most valuable data to work. https://bit.ly/4tkqmOM

Most enterprises are sitting on a goldmine of proprietary information that’s too sensitive to touch. In the race to scale GenAI, this data can be a great differentiator, but for many, it’s their biggest bottleneck. At RSAC 2026, SVP of Product, Prashant Prahlad, sat down with theCUBE to discuss how Capital One Software is helping organizations move past the false choice between data security and AI innovation. Watch the full conversation to see how Capital One Databolt is helping teams put their most valuable data to work. https://bit.ly/4vRH2ir

Most enterprises are sitting on a goldmine of proprietary information that’s too sensitive to touch. In the race to scale GenAI, this data can be a great differentiator, but for many, it’s their biggest bottleneck. At RSAC 2026, SVP of Product, Prashant Prahlad, sat down with theCUBE to discuss how Capital One Software is helping organizations move past the false choice between data security and AI innovation. Watch the full conversation to see how Capital One Databolt is helping teams put their most valuable data to work. https://bit.ly/4tknrpi