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

The fiber, data center, and telecom sectors are evolving rapidly amid rising AI workloads, cloud expansion, edge computing, and new investment models. This article breaks down the key trends — from fiber deployments in rural markets to secondary data center expansions and telecoms shifting to platform-based services, that are reshaping digital infrastructure for a hyperconnected future.
Huawei’s new AI chip, the Ascend 910D, has raised concerns about Nvidia’s China business, but analysts say it lacks the global performance, ecosystem, and efficiency to compete with Nvidia’s H100 GPU. Built on 7nm technology with limited software support, Huawei’s chip may gain local traction but poses no major international threat—yet.
COAI has endorsed MeitY’s move to address spam and scam communication from OTT apps. While telecom operators follow strict UCC rules, OTT platforms remain loosely regulated. COAI is advocating for uniform cybersecurity standards and clear regulatory roles to ensure user safety, particularly with emerging threats like steganography.
The Open Compute Project (OCP) has launched a centralized AI portal offering infrastructure tools, white papers, deployment blueprints, and open hardware standards. Designed to support scalable AI data centers, the portal features contributions from Meta, NVIDIA, and more, driving open innovation in AI cluster deployments.
In 2025, data centers are at the forefront of AI innovation, balancing the explosive growth of AI workloads with urgent sustainability goals. This article explores how brownfield and greenfield developments help operators manage demand, support low-latency AI services, and drive toward net-zero carbon targets.
There’s immense pressure for companies in every industry to adopt AI, but not everyone has the in-house expertise, tools, or resources to understand where and how to deploy AI responsibly. Bloomberg hopes this taxonomy – when combined with red teaming and guardrail systems – helps to responsibly enable the financial industry to develop safe and reliable GenAI systems, be compliant with evolving regulatory standards and expectations, as well as strengthen trust among clients.
Whitepaper
Explore RADCOM's whitepaper 'Unleashing the Power of 5G Analytics' to understand how telecom operators can drive cost savings and revenue with 5G. Learn about NWDAF's role in network efficiency, innovative use cases, and analytics monetization strategies. Download now for key insights into optimizing 5G network performance....
Radcom Logo

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

Download Magazine

With Subscription

Subscribe To Our Newsletter

Scroll to Top