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Database Activity Monitoring

Database Activity Monitoring

Real-time controls into all DB queries

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Track how sensitive data moves

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Least privilege enforcement for NHIs

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Continuous posture across data stores

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Runtime behavior into AI agent data

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AIOStack

See your AI Data Exposure in minutes. No sales call required.

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Introducing AIOStack: AI Security That Moves At The Speed Of AI
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Introducing AIOStack: AI Security That Moves At The Speed Of AI

Apurv Garg
Swapnil Nair

Apurv Garg, Swapnil Nair

November 17, 2025

Read the blog →

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Why Customers Choose Aurva

A practical guide to tracing identity, action, data touched, and downstream movement in modern environments.

jupiterrazorpay

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Data Activity Monitoring

DAM for the AI Era

Monitor every database query — from humans, service accounts, and AI agents — and block threats in real time, without touching performance.

Full Identity Context
No Performance Tax
AI Native
DFM Hero Showcase

TRUSTED BY LEADING ENTERPRISES WORLDWIDE

razorpaymeeshojupiterbounce-infinityapnaqorefampaypaytmtanlamplyubinykaayubirazorpaymeeshojupiterbounce-infinityapnaqorefampaypaytmtanlamplyubinykaayubirazorpaymeeshojupiterbounce-infinityapnaqorefampaypaytmtanlamplyubinykaayubirazorpaymeeshojupiterbounce-infinityapnaqorefampaypaytmtanlamplyubinykaayubi
The Blindspot

Legacy DAM: built for the past, blind to the present.

Blind to modern infrastructure

Ephemeral DBs, serverless, managed services — legacy DAM wasn’t designed for how infrastructure works today

Knows the Account. Not the Actor.

Logs show service_account_47. Not who’s behind it, what else they can access, or whether this is normal.

Logs with No Answers.

You get a SQL query and a username. Not whether it was anomalous, who the actor really is, or what data was at risk.

Legacy DAM Icon
Green Bulb IconSolution

This should be flagged as an active breach.

See the Query.Know the Actor.Understand what it means.
Anomaly escalated. Export blocked per policy.Traced to: anne.matt@corp.com query at 3:47 am Sat.First time querying the payments tableSELECT SSN — 847k record, Tor exit node, UK.OSRisk: 94

Authorized ≠ Appropriate Aurva shows you both.

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Know who's really behind every database query

Every query resolved to the real actor — human, service account, or AI agent — with role, application, and access path. Investigate in seconds instead of hours.

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Detect AI agents accessing sensitive data

Know which AI agent accessed what data, who invoked it, and whether the pattern is normal. Have behavioral baselines per agent and get alerted the moment something deviates

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Enforcement without impacting workflows

Enforce by identity, data sensitivity, location, and timing: Block contractors from customer tables, redact payment columns for analysts, block untrusted sources, prevent off-hours PII queries. All with zero production impact

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Catch what rules misses

Rules can't catch what they weren't written for. Aurva baselines normal behavior per user, application, and AI agent — and flags when something breaks pattern, even if no rule was triggered.

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Google BigQuery
CockroachDB
Redis
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Google BigTable
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Google BigQuery
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Azure Blob Storage
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Snowflake
Google BigTable
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Amazon Redshift
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Redis
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Any database Easy deployment

and more ...

Deployment:

Agent Agent
Agentless Agentless
Combined CombinedCloud Cloud
On-prem On-prem
Hybrid Hybrid

Chosen by teams who need evidence, not guesses

diamond bg 1

20Bn+

Queries monitored daily

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<2%

False Positive rate 98% alerts are real

quote

(With Aurva DAM) We’re proactively catching anomalies, enforcing least privilege, and closing security gaps before they become incidents.

Manikandan Rajappan

Manikandan Rajappan

Staff Security Engineer · Razorpay

quote

As one of the only cloud-native banks, Aurva was the only DAM tool that gave us real-time, granular visibility into database access — critical for meeting banking Infosec norms.

S. Mukharjee

S. Mukharjee

CISO, Northeast SF Bank

diamond bg 3

0ms

impact on application performance

VS ALTERNATIVES

Agent based5-10% CPU
Native logs20-40% DB CPU
Proxy based5-10ms latency

From raw queries to real intelligence

See Aurva in action with your own database environment.

You now know who, and whether it was appropriate.

Authorized ≠ Appropriate. The full chain is connected.

Agent Access Data

Agents access data through chains, apart from queries.

Every chain is attributable.

AI-SPMRuntime Protection
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Sensitive Data Access

Sensitive data moves after every access.

Every Access is traceable.

DAMDSPM
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