Data exfiltration
Data exfiltration on Beyond Market Intelligence: a running collection of 3 stories we have gathered and hand-picked because they are worth your time. Every post here touches on data exfiltration in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around data exfiltration, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Closing an Azure OpenAI assistant's retrieval gap didn't take a new identity platform. It took one filter and a narrower assistant.
Recent incidents highlight a critical vulnerability in many Azure OpenAI deployments: retrieval-time entitlement failures. Egiziago Cioffi, CEO of SynSphere Italia, discovered this firsthand when his email assistant, despite passing all evaluations, inadvertently exposed SharePoint content to users lacking proper access. Cioffi’s solution? A simple filter that checks user permissions before content reaches the model. This underscores a vital point: current evaluations often miss these boundary breaches.
The three layers of agentic AI security: A defense-in-depth architecture for autonomous agents
Autonomous agents, capable of independent reasoning and action, introduce unique security risks that traditional application controls can’t address. Nutanix proposes a defense-in-depth architecture, structured across three critical layers: infrastructure, network, and control plane. This approach, detailed by Nutanix's Oscar Wahlberg, establishes a layered security posture, ensuring robust protection against everything from unauthorized access to runaway agent behavior.
Presentation: From Copy-Paste to Composition: Building Agents Like Real Software
Jake Mannix’s presentation, "From Copy-Paste to Composition," addresses a critical evolution in AI agent design. Moving beyond rudimentary architectures, Mannix outlines a framework for building agents akin to robust software – versioned, encapsulated "virtual tools." This approach leverages an intermediate protocol layer to enable key capabilities like interface mapping and dynamic schema projection. Crucially, it incorporates runtime taint tracking to proactively mitigate data exfiltration risks, all while maintaining development velocity.