Petabyte-scale architecture
Billions of objects, enumerated cloud-natively. In-environment classification. No wasted compute or expense. No scan failures.
Product Overview
Your AI stack has three layers.
AI Data Readiness layer is missing.
Sentra answers the most important AI question: What can AI see, what can AI do, and how do you continuously govern it?
01
AI Infrastructure Layer
Models, pipelines, GPUs, deployment. The layer that got funded first.
02
AI Governance Layer
Guardrails for AI behavior. Blind to the data underneath.
AI Data Readiness Layer (Trust Layer)
Continuous discovery, classification, hygiene, and access governance — at petabyte scale, in your environment. The missing layer AI has been running without.
The Sentra Platform for Continuous AI Data Readiness and Governance
The Sentra Platform for Continuous AI Data Readiness and Governance
Complete AI Visibility
See every data store and AI surface — and exactly what each copilot or agent can reach — before you roll it out. No blind spots. No assumptions. One authoritative inventory across the full AI attack surface.
How Sentra delivers complete visibility.
Smart Sampling & metadata-driven clustering
Sample structured data by like metadata type to be statistically representative. Fully scan unstructured, human content. Highly efficient and tunable.
Incremental delta rescans
After the initial scan, only data changes get scanned. Coverage stays updated. No full re-scans, no operational drag. Sustainable at scale.
AI Attack Surface Mapping
Every copilot, agent, and model mapped. Every exposure path traced. See full attack surface, before it's a problem.
Shadow data detection
Forgotten buckets, ungoverned SharePoint, abandoned stores, stale dev copies and database backups—know data risks before audit, not after.
98%+ Accurate AI-driven Classification
Get context, not just patterns.
A contract vs. report, PHI vs. test data, production vs. development. Insight to act with confidence.
AI Data Hygiene
AI doesn't care if your data is stale. You should. Continuously remove shadow, stale, and toxic data from AI pipelines, RAG indexes, and knowledge bases — improving risk posture, compliance, and economics simultaneously.
How Sentra executes data hygiene — continuously.
Discover and classify first
Scanning metadata inventories first establishes an accurate scanning plan, and identifies entitlement exposure before any data security improvement occurs.
Deduplicate
Redundant and partially duplicate records identified, linked, and risk evaluated. Non-authoritative copies archived or deleted.
Enforce lifecycle policies
Automated retention policies, with legal holds honored. Unstructured versions resolved to a single governed copy.
Mask and redact sensitive data
PII, regulated data, and toxic structured content is masked, redacted, or tokenized at the source before it feeds any AI pipeline.
Hygiene that never stops
As new data arrives and AI pipelines evolve, Sentra maintains the hygiene baseline automatically. No quarterly cleanup campaigns required.
AI Identity & Access
Make entitlements follow the data — so every user and AI agent sees only what they're entitled to, across both the data plane and the AI plane.
How Sentra controls permissions — to govern at the data and AI layer.
AI agent access
governance
Consistent governance model across both data and AI planes, controlling and monitoring what data AI can access.
Lineage-driven
access map
Data, identities, service principals, AI agents all connected. Entitlements follow the data, not the application.
Follow access through AI
When data moves anywhere — from knowledge bases to RAG indexes — access is reconciled.
One authority across estate
Unified policy drives access enforcement for safer rollout of copilots and agents. No drift between policy and reality.
Shadow AI DLP
Microsoft Copilot, ChatGPT, Claude, Gemini, and hundreds of other AI tools are now part of everyday work. Sentra Shadow AI DLP combines Shadow AI Discovery with browser-based data protection to discover AI usage and prevent sensitive data from being shared with AI. Powered by the business context and intelligence of the AI Data Readiness Platform.
How Sentra enables secure AI adoption.
Discover AI
Usage
Automatically identify how employees use AI across the organization. Gain visibility into AI activity, uncover Shadow AI, and understand where sensitive data may be at risk.
Understand what data matters
Inspect prompts, pasted text, and uploaded files using Sentra's business-aware data classification. Detect sensitive data based on context, not just keywords or patterns.
Prevent sensitive data exposure
Block, warn, or require user justification before sensitive data is shared with AI. Apply granular policies based on data sensitivity, AI service, or user group.
Enable safe AI adoption
Allow employees to use AI safely while enforcing consistent data protection policies. Reduce risk without slowing productivity or innovation.
Audit every AI interaction
Capture AI interactions, policy decisions, blocked events, and user activity to support compliance, investigations, and security reporting.
Continuous AI Compliance
All scanning and analysis runs in-environment, so you continuously meet compliance regulations while ensuring safe data operations — at any scale, without the cost becoming prohibitive.
Continuous compliance and responsible AI governance.
Continuous regulatory coverage
GDPR, HIPAA, PCI DSS, CCPA, SOC 2, ISO 27001, EU AI Act, NIST AI RMF, and emerging AI frameworks. Continuous proof, not point-in-time posture.
Automatic audit documentation
Audit trails for every dataset, classification decision, access event, and enforcement action—ready before regulators ask, not reconstructed after.
Complete data inventory
Risk-assessed and always current picture of entire data estate. Trustworthy and timely data insights for every AI stakeholder team.
Economics that sustain governance
$40,000 ops cost /year to scan 100 PB—10x cheaper than legacy means. Continuous governance becomes financially viable, not a budget fight at renewal.
Architecture that defines your AI data security
Scanning occurs in your environment and data never leaves it. Nothing to attest at audit—compliance is built into the architecture, not a layer on top.
AI Automated Remediation
Discovery and classification are the foundation. Enforcement is what makes governance real. When classification is right, enforcement becomes automatic — and the same signal governs both human access and AI behavior.
Four modes of coordinated enforcement.
Universal data labeling — the common language
Labels applied and reconciled across all platforms—Microsoft 365, Google Workspace, cloud storage, data platforms. One signal drives every tool consistently.
Streamlined data, access, and identity remediation
Tombstone redundant copies, quarantine high-risk files, revoke over-privileged access. Least privilege, restored automatically.
Automated workflows, human-in-the-loop
When judgment is needed create contextual tickets, routed to data owners, with next steps. Drive ServiceNow, Jira, Slack, SIEM, SOAR. Outcomes, not alerts.
Consistent AI governance thru existing security stack
Policy violations auto-route to DLP, CASB/SSE, IAM, or SOAR to block, quarantine, or reroute. No new enforcement layer needed.
Sentra’s Breakthrough
Data Security Architecture
Data security that lives in your environment — not ours.
- No data is copied outside your environment.
- More secure by design.
- Compliance built in, not bolted on.
- Lower total cost of ownership.
- Highest scalability.
- All data is copied to vendor.
- Vendor has access to all sensitive data from the customer.
- Not suitable for regulated data.
- Low scalability.
- Cost prohibitive (labor + operations).
- Requires a manual deployment in every region.
- Each deployment requires ongoing maintenance.
- Low scalability.
Sentra Wins Fortune 500 Customer Bake-off
Scalability
Accuracy
Operational Cost Efficiency
9 PB scanned
<72 hrs
>98%
<1% FPs/FNs
~$40,000 /yr
to scan 100 PB
A Top Emerging DSPM Vendor
1 PB scan failed
~60 hrs
<93%
>5% FPs/FNs
$400,000+ /yr
to scan 100 PB
Data security with measurable business impact.
The ROI numbers that matter
ROI
~6x
Return on investment
$5.76M in quantified 3-year benefits against ~$955K in total costs — before NPV is finalized.
Labor savings
90%
Less manual governance work
7 FTEs reclaimed from manual oversight. $3M saved over 3 years. Risk focus, not data wrangling.
Compliance
94%
Reduction in DLP coverage scope
DLP scope drops from
3,500 to 210 employees. $329K saved annually, plus 1 FTE freed from false-positive triage.
Cloud costs
$375K
Avoided cloud spend per year
Shadow data visibility reclaims 1.5% of cloud spend. One customer cut 110 databases worth $1.1M/year.
Works with your existing stack
Classification signals flow directly into your existing Agentic AI, DLP, IAM, ITSM, SIEM, SOAR, and cloud platforms—no parallel stack required.
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