Skyflow Launches Skyflow for Glean, Bringing Runtime Data Control to Enterprise AI Search
Enterprises
shouldn't have to choose between searching their data and protecting it. Today,
Skyflow, the runtime data control platform for agentic AI, announced Skyflow
for Glean: a data security and governance layer for enterprise context.
Enterprise context is the millions of documents and billions of records spread
across systems that were never built to work together. Skyflow already protects
billions of sensitive records for Fortune 500 companies. This launch extends
that protection to the knowledge that powers enterprise AI search, starting
with Glean deployments.
Securing
Enterprise Context in Production
Kearney,
a global management consulting firm, ran into this challenge directly. Rolling
out Glean across thousands of consultants meant connecting terabytes of client
work, all carrying strict confidentiality commitments to each client. Skyflow
governs that context so consultants see only the engagements they're authorized
for, with a full audit trail.
"We
don't want to be in the data sanitization business," said Mark Johnson,
Partner and Chief Information and Digital Officer at Kearney. "Skyflow
gave us per-field encryption, runtime policies, and customer-specific isolation
as a platform – not a project."
Extending
Governance to the Context Layer
AI
agents don't work from one fixed dataset. They assemble context on demand from
CRMs, SaaS apps, data lakes, and wikis — so the real question is no longer who
can access a system, but what data an agent is allowed to see. The usual fix is
to block the riskiest content, but blocking degrades search: identifiers stop
matching across documents, and employees end up searching a fraction of what
the company knows.
Enterprise
search platforms like Glean enforce permissions-aware access, ensuring
employees and agents retrieve only the documents they're authorized to see.
Skyflow adds a complementary layer of fine-grained control at the data field
level — valuable because AI search turns raw documents into generated answers,
summaries, and agent reasoning steps that can carry sensitive values. Skyflow
for Glean works at two points:
· Sanitize on
ingest: Skyflow detects and tokenizes sensitive
values before content enters the search index and embeddings, so raw values
never reach the index or model memory.
· Control the
results: At retrieval and throughout agent execution,
Skyflow enforces policy-based masking, rehydration, and context filtering, so
users and agents see only what they're authorized to see.
"Every
search and every agent action touches your most sensitive records," said
Anshu Sharma, co-founder and CEO of Skyflow. "Protecting that moment
matters as much as protecting the storage behind it. Security and legal teams
can move from blocking access to unblocking secure access — and that's what
makes AI search safe to turn on."
What This Means
for Enterprise AI
With
governance satisfied at the data layer, pilots become firmwide deployments.
Employees search the complete knowledge base, one client's information never
surfaces in another's results, and sensitive data stays out of answers and
summaries that shouldn't include it. Data stays in the region for GDPR, DPDP,
and HIPAA, and every access is recorded.
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