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rag architecture
About this tag
RAG architecture, or retrieval-augmented generation, is a design pattern that combines information retrieval with large language models to ground AI responses in external data sources. On WindowsForum, discussions highlight RAG's role in enterprise AI tools like Microsoft 365 Copilot, where it enables assistants to pull from organizational data. However, the EchoLeak vulnerability (CVE-2025-32711) exposed critical security risks in RAG systems, demonstrating how zero-click exploits can lead to data exfiltration through LLM scope violations. These threads underscore the importance of securing RAG pipelines, especially in enterprise contexts where AI assistants access sensitive information. The tag covers RAG's implementation, security challenges, and its use in branded AI experiences like Ralph Lauren's Ask Ralph stylist.
Ralph Lauren has launched a branded conversational shopping assistant — Ask Ralph — inside its U.S. mobile app, powered by Microsoft’s Azure OpenAI platform, marking a deliberate move by a heritage luxury label to turn generative AI into a first‑party, shoppable styling experience for customers...
ai stylist
ask ralph
azure openai
brand first ai
catalog-grounding
conversational commerce
luxury-retail-ai
memory personalization
microsoft copilot
opt-in-consent
privacy
ragarchitecture
ralph lauren
retrieval augmented generation
shoppable outfits
visual commerce
The emergence of a zero-click vulnerability, dubbed EchoLeak, in Microsoft 365 Copilot represents a pivotal moment in the ongoing security debate around Large Language Model (LLM)–based enterprise tools. Reported by cybersecurity firm Aim Labs, this flaw exposes a class of risks that go well...
ai governance
ai security
ai threat landscape
copilot
cyber defense
cybersecurity
cybersecurity risks
data breach
data exfiltration
data leakage
large language models
llm vulnerabilities
microsoft 365
prompt engineering
prompt injection
ragarchitecture
security best practices
zero-click attack
The revelation of a critical "zero-click" vulnerability in Microsoft 365 Copilot—tracked as CVE-2025-32711 and aptly dubbed “EchoLeak”—marks a turning point in AI-fueled cybersecurity risk. This flaw, which scored an alarming 9.3 on the Common Vulnerability Scoring System (CVSS), demonstrates...
ai in cybersecurity
ai output filtering
ai threat landscape
ai trust
ai vulnerabilities
content security policy
copilot
cyber attack vectors
data exfiltration
data loss prevention
enterprise security
ltlm security
md markdown loopholes
microsoft 365
microsoft teams
prompt injection
proxy
ragarchitecture
security patch
zero-click attack