Skyflow for Glean Signals a New Layer in Enterprise AI Governance
Skyflow for Glean highlights a growing challenge in enterprise AI search: expanding knowledge access without exposing sensitive data.
Skyflow has published a new solution focused on securing Glean-powered enterprise AI search environments. The offering, indexed on April 22, 2026, positions Skyflow as a governance and privacy layer designed to protect sensitive information flowing through AI search systems. Skyflow is a Palo Alto-based data privacy company. Glean is an enterprise AI search and knowledge platform that helps organizations find, access, and act on information spread across company systems. Together, they sit at the intersection of 2 of the fastest-growing enterprise technology categories: AI search and AI governance.
The announcement is not a verified acquisition, funding round, executive change, or formally disclosed partnership. Instead, it represents a Skyflow-led solution narrative around how enterprises can expand AI search access while maintaining privacy and compliance controls. The broader implication extends well beyond Skyflow and Glean. As enterprise AI adoption accelerates, governance is becoming one of the most important infrastructure layers in the stack.
About Skyflow
Skyflow is a Palo Alto-based data privacy company founded in 2019. The company built its reputation around protecting sensitive information through privacy infrastructure and data vault technologies. More recently, Skyflow has expanded its positioning into what it calls Runtime AI Data Control, reflecting a growing focus on AI governance and data protection across modern AI systems.
Skyflow uses the term Runtime AI Data Control to describe governance applied while AI systems retrieve, process, and expose information rather than only when information is stored. That distinction is becoming increasingly important as enterprises move AI workloads from experimentation into production environments. Leadership at Skyflow includes Co-founder and CEO Anshu Sharma, Co-founder (Engineering) Roshmik Saha, and Amruta Moktali, CPO. Additional executives listed by the company include Rajsi Rana, Ken Laversin, and Daniel Wong, CISO. Business Wire reporting also confirms Prakash Khot as a founder of Skyflow.
The company's long-term thesis is straightforward: organizations want to use more data, but they also need stronger controls around how sensitive information is stored, accessed, and exposed. AI adoption has made that challenge significantly harder.
What Happened
The event under review is the publication of Skyflow for Glean, a solution focused on protecting enterprise AI search workflows. Glean provides enterprise AI search and knowledge discovery software that connects information across workplace applications, documents, and internal systems. As organizations expand AI search across larger portions of their knowledge base, governance concerns become more visible.
According to Skyflow, the solution is designed to sanitize sensitive information during ingestion, enforce controls during retrieval, and provide governance across prompts, context graphs, memory stores, and search results. Importantly, available evidence does not establish a formally announced partnership between Skyflow and Glean. The current record supports a Glean-focused solution offering published by Skyflow and a related public post from Anshu Sharma discussing organizations deploying Glean while needing stronger data protections.
That distinction matters. Technology markets are full of announcements that imply deeper commercial relationships than actually exist. In this case, the evidence supports a solution positioning strategy, not a confirmed joint commercial announcement.
Why This Matters
Enterprise AI has entered a new phase. The technology works. The demand is real. The governance questions are getting harder. For years, enterprise software teams focused on access permissions, user roles, and document controls. AI search introduces a different challenge. Sensitive information can surface through prompts, retrieval layers, memory systems, and generated responses, creating entirely new exposure paths.
That changes the conversation from access management to runtime governance. Skyflow is positioning itself directly inside that transition. The company claims capabilities including real-time discovery and sanitization of PII, PHI, and PCI, policy-based data rehydration, data residency controls, and prompt protection. PII refers to personally identifiable information, PHI refers to protected health information, and PCI refers to payment card data. For regulated industries, those categories often determine whether an AI deployment moves forward or stalls.
If enterprise AI becomes the operating system for organizational knowledge, governance increasingly becomes the security layer protecting it.
Market Context
Enterprise AI search is becoming one of the most important categories in business software. These platforms help employees find information, generate answers, and interact with company knowledge through natural language interfaces. The challenge is that search becomes more valuable as it gains access to more information. Every new repository, application, document store, or customer record introduces additional governance requirements.
This creates an emerging market around AI governance, runtime AI security, data privacy, and retrieval controls. Glean has emerged as one of the most visible enterprise AI search platforms, making governance conversations increasingly relevant for large deployments. Skyflow's positioning spans multiple enterprise search platforms including Sana, Coveo, and Elastic, reinforcing its ambition to become a governance layer across the broader enterprise AI ecosystem.
The timing also matters. Enterprise AI deployments are moving from experimentation to production environments, increasing demand for governance and privacy controls that operate in real time rather than after exposure occurs. The trend aligns with broader enterprise focus areas including AI governance, AI security, regulatory compliance, and responsible AI deployment.
Leadership and Strategy
Only 1 executive is directly connected to the Glean-specific announcement trail based on currently verified sources: Anshu Sharma, Co-founder and CEO of Skyflow. A public LinkedIn post dated April 16, 2026 references organizations deploying Glean while needing advanced protections around sensitive information.
Other Skyflow executives and founders are verified company personnel but are not directly associated with this specific announcement based on available evidence. The same applies to Glean leadership. While executives including Arvind Jain, Vishwanath T R, and Tony Gentilcore are verified leaders at Glean, none appear as participants, endorsers, speakers, or quoted representatives in the Skyflow for Glean source record.
That separation is important because it prevents overstating the relationship between the companies.
What This Signals
The most interesting part of this story is not what has been announced. It is what enterprise buyers are signaling through their behavior. Organizations increasingly want AI systems connected to broader pools of internal knowledge. At the same time, legal, security, compliance, and privacy teams are demanding stronger safeguards before opening those doors.
That tension is creating an entirely new infrastructure layer around AI governance. Skyflow appears to be betting that the winners in enterprise AI will not simply be the companies that surface information fastest. They will be the companies that determine how information moves, who sees it, and when it becomes visible.
If that thesis proves correct, governance platforms may become as strategically important to enterprise AI deployments as the models themselves. For operators, founders, security leaders, and enterprise buyers, the larger signal is clear: AI adoption is no longer just a model conversation. It is increasingly a governance conversation.
Frequently Asked Questions
What is Skyflow for Glean?
Skyflow for Glean is a Skyflow solution designed to help organizations apply privacy and governance controls to Glean-powered enterprise AI search workflows.
Is Skyflow for Glean a formal partnership?
Current evidence supports a Skyflow-published solution offering. Available sources do not explicitly confirm a co-announced partnership between Skyflow and Glean.
What does Skyflow do?
Skyflow is a Palo Alto-based data privacy company focused on protecting sensitive information through privacy infrastructure and AI governance technologies.
What is Runtime AI Data Control?
Runtime AI Data Control refers to governance applied while AI systems retrieve, process, and expose information rather than only when data is stored.
Why is governance becoming important in enterprise AI?
As AI systems gain access to more organizational information, companies need stronger controls to prevent sensitive data from being exposed through prompts, search results, retrieval systems, and memory layers.
Who is Anshu Sharma?
Anshu Sharma is the Co-founder and CEO of Skyflow and the only named executive directly connected to the Glean-specific announcement trail.
What industries are most affected by AI governance?
Financial services, healthcare, professional services, government, and large enterprises managing regulated or sensitive information face the strongest governance requirements.
How does Skyflow relate to Glean?
Skyflow positions its technology as a governance and privacy layer that can operate alongside Glean and other enterprise AI search platforms.