Private Network Check Readiness - TeckNexus Solutions

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

An unsolicited offer from Perplexity to acquire Googles Chrome raises immediate questions about antitrust remedies, AI distribution, and who controls the internets primary access point. Perplexity has proposed a $34.5 billion cash acquisition of Chrome and says backers are lined up to fund the deal despite the startups significantly smaller balance sheet and an estimated $18 billion valuation in recent fundraising. The bid includes commitments to keep Chromium open source, invest an additional $3 billion in the codebase, and preserve current user defaults including leaving Google as the default search engine. The timing aligns with a U.S. Department of Justice push for structural remedies after a court found Google maintained an illegal search monopoly, with a Chrome divestiture floated as a central remedy.
A new Ciena and Heavy Reading study signals that AI will become a primary source of metro and long-haul traffic within three years while most optical networks remain only partially prepared. AI training and inference are shifting from contained data center domains to distributed, edge-to-core workflows that stress transport capacity, latency, and automation end-to-end. Expectations are even higher for long-haul: 52% see AI surpassing 30% of traffic and 29% expect AI to account for more than half. Yet only 16% of respondents rate their optical networks as very ready for AI workloads, underscoring an execution gap that will shape capex priorities, service roadmaps, and partnership models through 2027.
South Korea’s government and its three national carriers are aligning fresh capital to speed AI and semiconductor competitiveness and to anchor a private-led innovation flywheel. SK Telecom, KT, and LG Uplus will seed a new pool exceeding 300 billion won (about $219 million) via the Korea IT Fund (KIF) to back core and foundational AI, AI transformation (AX), and commercialization in ICT. KIF, formed in 2002 by the carriers, will receive 150 billion won in new commitments, matched by at least an equal amount from external fund managers. The platforms lifespan has been extended to 2040 to sustain long-cycle bets.
NTT DATA and Google Cloud expanded their global partnership to speed the adoption of agentic AI and cloud-native modernization across regulated and dataintensive industries. The push emphasizes sovereign cloud options using Google Distributed Cloud, with both airgapped and connected deployments to meet data residency and regulatory needs without stalling innovation. The partners plan to build industry-specific agentic AI solutions on Google Agent space and Gemini models, underpinned by secure data clean rooms and modernized data platforms. NTT DATA is standing up a dedicated Google Cloud Business Group with thousands of engineers and aims to certify 5,000 practitioners to accelerate delivery, migrations, and managed services.
Lumen surpassing 1,000 customers on its Network-as-a-Service platform is a clear marker for where enterprise networking is headed. AI adoption, multi-cloud architectures, and distributed applications are pushing organizations toward on-demand, software-driven connectivity. Lumens platform bundles three core service types under a single digital experience. The platform integrates with major hyperscalers, enabling direct paths to AWS, Microsoft Azure, and Google Cloud. All can be provisioned self-service, scaled up or down based on demand, and stitched to cloud regions and third-party data centers via cloud on-ramps.
Vietnam is entering the hyperscale AI data center map, with VNPT and LG CNS positioning to meet local and regional demand. For telecom operators and enterprises, now is the time to align AI roadmaps with data center strategy: plan for high-density racks and liquid cooling, secure GPU capacity, engineer diverse connectivity, and build energy resilience. As the regions AI infrastructure forms, those who co-design workload placement, interconnect, and power from the outset will gain durable cost and performance advantages.
Whitepaper
As VoLTE becomes the standard for voice communication, its rapid deployment exposes telecom networks to new security risks, especially in roaming scenarios. SecurityGen’s research uncovers key vulnerabilities like unauthorized access to IMS, SIP protocol threats, and lack of encryption. Learn how to strengthen VoLTE security with proactive measures such as...
Whitepaper
Dive into the comprehensive analysis of GTPu within 5G networks in our whitepaper, offering insights into its operational mechanics, strategic importance, and adaptation to the evolving landscape of cellular technologies....

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

Download Magazine

With Subscription

Subscribe To Our Newsletter

Private Network Awards 2025 - TeckNexus
Scroll to Top

Private Network Awards

Recognizing excellence in 5G, LTE, CBRS, and connected industries. Nominate your project and gain industry-wide recognition.
Early Bird Deadline: Sept 5, 2025 | Final Deadline: Sept 30, 2025