Confidencial.io to Preview Unified AI Data Governance Platform at RSAC 2025

Confidencial.io will unveil its unified AI data governance platform at RSAC 2025. Designed to secure unstructured data in AI workflows, the system applies object-level Zero Trust encryption and seamless compliance with NIST/ISO frameworks. It protects AI pipelines and agentic systems from sensitive data leakage while supporting safe, large-scale innovation.
Confidencial.io to Preview Unified AI Data Governance Platform at RSAC 2025
Image Credit: Confidencial.io

Confidencial.io, a data protection and compliance leader born from DARPA-funded research at SRI, is set to debut its AI data governance solution at this year’s RSAC, engineered to prevent data leaks and fuel secure, compliant innovation. Purpose-built for enterprise-scale AI, Confidencial serves as a governance layer seamlessly embedded within AI frameworks, covering AI workflows, Agentic AI systems, training workflows, and operations to ensure only authorized data flows through.


AI thrives on unstructured data—documents, transcripts, slides, and images—but without the right safeguards, an organization’s most valuable assets remain wide open.

RSAC findings reveal the urgency: 61% of CISOs cite IP leakage as their top concern, with customer data exposure close behind at 59%.

In response, AI and GRC leaders are deploying siloed protection and governance tools, each with its own access controls, resulting in a fractured patchwork where unstructured data slips through the cracks, exposed, vulnerable, and at risk.

“We’re addressing the unsustainable model of fragmented systems that can’t talk to each other,” said Karim Eldefrawy, Co-Founder and CTO at Confidencial.  “One of the biggest barriers to deploying AI in the enterprise is ensuring consistent data protection, governance, and control across the entire AI pipeline, regardless of where or how that information is accessed.”

Confidencial unifies governance and privacy controls by embedding a resilient, cryptographic layer directly into AI pipelines and document stores, ensuring seamless protection. It automatically identifies and secures sensitive unstructured data, preserving context while enabling AI to still extract valuable insights. By applying data-centric Zero Trust at the object level, Confidencial secures only the most critical data, reducing computing costs and streamlining compliance with NIST and ISO AI and Cybersecurity Frameworks.

“Unstructured data is the fuel powering modern AI, and adoption is picking up serious momentum, especially with the rise of tools like Microsoft Markitdown and IBM Docling that convert files into text for LLMs and text analysis pipelines,” said Eldefrawy. “Confidencial is the only solution that can find and cryptographically protect sensitive information within these converted files, at a granular level, before they enter AI workflows and systems. This provably ensures enterprise-grade cryptographic security and compliance while enabling organizations to safely and cost-effectively unlock more of their data for AI training and innovation.”

Fresh off the launch of the Cloud Protector, their next-gen DSPM solution for cyber defense, Confidencial now delivers a unified approach that secures sensitive data across both traditional and AI-driven environments. Visit Booth 5787 at RSAC to see firsthand how AI data governance meets cyber resilience.

About Confidencial
Our mission is to be woven into the technology fabric used by enterprises to govern and secure the sensitive information sitting inside their unstructured data. As an indispensable pillar of agentic AI infrastructure, Confidencial empowers responsible AI innovation and exploration without sacrificing ready and robust compliance, especially in highly regulated industries. No matter the threat or tactic, your data stays secure while getting more usable and valuable than ever. For more information, visit confidencial.io.

 


Recent Content

Amazon is transforming online shopping in the UK with the launch of Rufus, a generative AI-powered shopping assistant, and AI Shopping Guides. These tools streamline the shopping experience by providing personalized recommendations, comparing products, and simplifying decision-making. Rufus helps customers find what they need faster, while AI Shopping Guides offer curated information across 100+ product categories, from tech gadgets to everyday essentials. Integrated within the Amazon Shopping app, these AI innovations are designed to enhance convenience, accuracy, and personalization for UK customers.
NVIDIA has partnered with major U.S. tech companies such as AT&T and Lowe’s to drive AI transformation across industries, using its advanced NeMo™ and NIM™ microservices. These collaborations aim to create AI-powered solutions that enhance productivity and operational efficiency in sectors like telecommunications, retail, and education. Consulting firms like Accenture and Deloitte are leading AI integration efforts, using NVIDIA’s tools to build custom AI applications that revolutionize healthcare, manufacturing, and financial services. This initiative highlights the growing role of AI in shaping the future of global industries.
AI and generative AI hold significant promise for telecom, from network optimization to customer service automation. However, a cautious approach is necessary, as over 80% of AI projects fail. Telecom professionals remain skeptical, questioning AI’s scalability and transparency. A balanced, evidence-based outlook can help telecom operators responsibly integrate AI, avoiding the pitfalls of early adoption while maximizing its transformative potential.
Large Language Models are beginning to ‘express opinions’ on controversial topics. But do they have the right to free speech? What happens if an AI defames someone? Find out in this article looking into how GenAI models, and in particular SCOTi, answered some controversial questions.
Explore how Generative AI is transforming telecom infrastructure by solving critical industry challenges like massive data management, network optimization, and personalized customer experiences. This whitepaper offers in-depth insights into AI and Gen AI’s role in boosting operational efficiency while ensuring security and regulatory compliance. Telecom operators can harness these AI-driven solutions to enhance performance, improve customer satisfaction, and future-proof their businesses in a rapidly evolving market.
In today’s rapidly evolving supply chain environment, AI is revolutionizing how companies optimize demand forecasting and last-mile delivery. Using advanced data analytics, machine learning, and predictive algorithms, companies can more accurately forecast customer demand and reduce inefficiencies and costs. AI-powered solutions like field dispatch, fleet management, and route optimization streamline the delivery process for faster, more reliable customer service. Discover how AI is driving efficiency and innovation in the logistics industry.

Currently, no free downloads are available for related categories. Search similar content to download:

  • Reset

It seems we can't find what you're looking for.

Download Magazine

With Subscription

Subscribe To Our Newsletter

Scroll to Top