Every sensitive dataset. Found, classified and understood, including the data behind your AI.
Sentra keeps a continuously updated inventory of sensitive data across cloud, SaaS, warehouses, collaboration tools and on-prem stores, including the knowledge bases behind your copilots and agents.
Teams launch buckets, warehouses and AI knowledge bases faster than inventories update.
Unstructured blind spots
Contracts, code, images and chat logs hold the most sensitive content and get the least classification.
Regex fatigue
Pattern matching floods analysts with false positives and still misses deal terms or product IP.
Partial scans
Sampling and periodic scans leave petabytes unread, and results go stale within hours.
Every source, one live inventory
Sources
Public cloudAWS, Azure, GCP
SaaSM365, Google, Salesforce
Data platformsSnowflake, Databricks
On-premNetApp, SMB, Oracle
AI servicesBedrock, Copilot, Vertex
Classified on the scanner
Rules and patternsCard numbers, IDs, keys
Entity recognitionNames, addresses, secrets
Document understandingContract, board deck, IP
Column meaning“cc_info” means card data
250+ classifiers
130+ file formats
One live inventory
s3://exports/customers_2023.csv
Customer PII
High sensitivity
Data classes
Name, email, card number
Records
1.2M
Location
AWS, us-east-1
Classified by
Column meaning, patterns
Last scanned
2 hours ago
Discovery runs agentless and in-region
01
Find every store, managed or not
Agentless discovery across cloud, SaaS, data platforms, file shares and on-prem. Each asset arrives with its location and security configuration.
02
Classify with context, not just patterns
250+ built-in classifiers and 130+ file formats. Sentra reads content the way a person would, so it can tell a signed contract from a file that just mentions names. Over 98% accuracy, under 1% false positives.
03
Inventory the data behind your AI
Classify the knowledge bases, training sets and data stores behind Bedrock, SageMaker, Azure OpenAI, Vertex AI, Databricks, Snowflake Cortex, Microsoft 365 Copilot and Gemini for Workspace before a prompt pulls them up.
04
Read what rules can't
OCR and speech-to-text bring scanned PDFs, images, audio and video into scope. Sentra also catches data that is only sensitive in combination, like a name next to an ID and a card number.
Built for petabytes. Priced for them too.
Scalability
Accuracy
Operational Cost Efficiency
Scalability
9 PB scanned<72 hrs
Accuracy
>98%<1% FPs/FNs
Operational Cost Efficiency
~$40,000 /yrto scan 100 PB
A Top Emerging DSPM Vendor
Scalability
1 PB scan failed~60 hrs
Accuracy
<93%>5% FPs/FNs
Operational Cost Efficiency
$400,000+ /yrto scan 100 PB
One inventory across every environment
Sentra reaches every surfacewithout touching production
SurfaceHow Sentra reaches it
Managed cloud DBsSnapshot restored in an isolated scanner account
DBs on VMsDisks snapshotted, mounted and scanned in memory
Object storageNative cloud APIs with on-demand parsing
SaaS sourcesVendor APIs; M365 and Drive files never hit disk
On-prem files and DBsLocal scanners, same inventory as cloud
AI surfacesBedrock, Azure OpenAI, Vertex AI, M365 Copilot