AI is already querying data your teams haven't reviewed in years — and returning it to anyone who asks
About Us
AI is Live.
Data readiness and governance isn’t.
AI initiatives are only as strong as the data behind them. Most enterprises have invested in models, pipelines, and governance frameworks — but skipped the layer that makes all of it safe: knowing exactly what data your AI can see, reach, and expose.
Enterprises Uncomfortable Moment With AI
A single misconfigured permission no longer means a future breach. It means the wrong AI response, right now
60% of enterprise AI projects will be abandoned by 2026 when the underlying data isn't ready
— Industry AI Report 2025
These aren't theoretical risks. They're the operational reality of deploying AI on top of an ungoverned data estate. Every AI tool you launch inherits the permissions, sprawl, and blind spots already in your environment.
Your AI stack has three layers. AI Data Readiness layer is missing.
You've invested in AI infrastructure and governance. Without data readiness, both run blind. Sentra is the layer that makes them work.
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.
AI is a Data Problem.
Five converging problems putting organizations at risk today.
No Visibility
Most organizations don’t know what AI can see and what AI can do.
Data Sprawl
Years of sprawl meet AI that sees everything your users see and synthesizes
it instantly.

Overpermissioning
One wrong permission, and AI does the rest—surfacing the wrong content to the wrong person, instantly.
Ungoverned Data
What was dormant is now dangerous. AI can reach it, synthesize it, and serve it up on
demand.
Agentic AI
Agents traverse environments, execute workflows, and act on inherited access before humans can notice.
These aren't theoretical risks. They're the operational reality of deploying AI on top of an ungoverned data estate. Every AI tool you launch inherits the permissions, sprawl, and blind spots already in your environment.
The Sentra Platform
Sentra operates at the intersection of data, AI, and security — the three disciplines no prior platform was built to address simultaneously. One platform. Continuous AI data readiness and governance at enterprise scale and speed.
Complete AI Visibility
See every data store and AI surface before it becomes a liability.
AI Data Hygiene
Remove the redundant, obsolete, and toxic data before AI consumes it.
AI Identity & Access0
Least-privilege access enforced at the data and AI layer — entitlements that follow the data.
AI Automated Remediation
Controls that act —
not just alert. Classification triggers enforcement.
Continuous AI Compliance
In-environment scanning that keeps pace with AI adoption continuously.
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.
Gartner Peer Insights Highest Recommended DSPM Platform
- 4.7Evaluation & Contracting
- 4.6Integration & Deployment
- 4.8Service & Support
98.5%Recommendation Rate
AI Data Readiness
Total Addressable Market
Discovery · Classification · Governance of AI-accessed data
The AI Data Readiness market is projected to grow from $2.1B in 2026 to $15.5B by 2030 — a ~65% CAGR. Sentra sits at the center of this expansion, spanning DSPM, AI Governance, and AI Systems Security as a single continuous platform.









