Data Resolve User Behaviour Analytics
Data Resolve UBA detects risky, anomalous insider behaviour before it becomes an incident — baselining normal, flagging deviations, and scoring each employee by risk.
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The Data Resolve platform family
This page covers User Behaviour Analytics — insider-risk intelligence. The rest of the portfolio:
Quick facts
30-second orientation- Product
- User Behaviour Analytics — insider-risk intelligence
- Vendor
- Data Resolve (India-built · founded 2008 · Noida)
- The category
- User Behaviour Analytics (UBA)
- Detects
- Risky, anomalous & malicious insider behaviour
- The value
- Proactive — catch the warning signs early
- How
- Baseline normal, flag deviations, score risk
- Part of
- The inDefend platform (with DLP & productivity)
- The pairing
- Behaviour context on every DLP alert
- Deployment
- Endpoint agent · on-prem or cloud
- In India via
- TechBag — quotes, PoCs, GST invoicing, Tier-1 support
Understand data security & privacy before you buy it
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What is UBA?
User behaviour analytics — detect risky, anomalous insider behaviour before it becomes an incident.
The intelligence layer of inDefend.
Ungoverned data vs data-centric security — the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | Unprotected / signature email | User Behaviour Analytics (Data Resolve) |
|---|---|---|
| Insider threats | Found after the fact | Warning signs caught early |
| The approach | Reactive blocking only | Proactive behaviour analysis |
| Normal vs risky | No reference | Baselined per person & peer |
| Who to watch | Everyone (impossible) | Risk-scored, prioritised |
| Exit-risk | Missed | Post-resignation spike caught |
| Control circumvention | Unnoticed | Detected as intent |
| DLP alerts | Context-free noise | Behavioural context added |
| The vendor | Expensive, global | India-built, local, valued |
Blocking alone is reactive — UBA catches the warning signs before the data is gone. Behaviour and blocking together. India-built, part of inDefend.
The five pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Behaviour Baseline
Establishes a baseline of normal behaviour for each employee and peer group — what typical activity looks like, so deviations can be recognised as anomalous.
Continuous Analysis
Continuously analyses ongoing activity against the baseline — data access, transfers, application use, timing — looking for the deviations and patterns that signal risk.
Anomaly & Pattern Detection
Flags anomalous and risky behaviour — unusual data access, circumvention attempts, odd-hours activity, post-resignation spikes — the precursors of an insider incident.
Risk Scoring
Scores each employee by risk based on their behaviour — so security teams focus on the highest-risk individuals rather than watching everyone equally.
inDefend Platform
Part of inDefend — UBA works with DLP (behavioural context on every alert) and productivity, drawing on the same endpoint telemetry, from one agent.
One picture of sensitive data and the people who touch it — risk managed at the source rather than at the network edge.
Twelve capabilities. Baseline, detect, prove.
Data Resolve UBA catches the insider warning signs early — baselined, detected and scored, working with DLP, part of the Data Resolve portfolio.
Behaviour Baselining
Learns what normal looks like for each employee and peer group — the essential reference point against which anomalies are recognised.
Peer-Group Comparison
Compares behaviour against peers in the same role — so 'unusual for this person' and 'unusual for this role' both surface as risk signals.
Continuous Monitoring
Analyses activity continuously, not in occasional snapshots — so a risk that builds over time or spikes suddenly is caught as it develops.
Anomaly Detection
Flags behaviour that deviates from the baseline — unusual data access, transfers or activity that doesn't fit the person's normal pattern.
Post-Resignation Risk
Catches the classic exit-risk pattern — a resigning employee suddenly accessing or copying data — one of the most common insider-theft scenarios.
Control-Circumvention Detection
Detects attempts to bypass or disable security controls — a strong signal of malicious intent that deserves immediate attention.
Employee Risk Scoring
Assigns a risk score to each employee from their behaviour — turning a flood of activity into a prioritised list of who to watch and act on.
Risk Alerts
Real-time alerts on high-risk behaviour and rising risk scores — so security teams can intervene early, before a leak or fraud completes.
Context for DLP Alerts
Adds behavioural context to every DLP alert — is this a benign policy trip or part of a concerning pattern? — cutting false-positive noise.
Investigation Timeline
A behavioural timeline for investigation — reconstruct what a flagged individual did and when — the evidence to confirm and act on a threat.
Risk Reports
Reports on the risk landscape — highest-risk users, behaviour trends, incidents caught — the insider-risk visibility management needs.
Insider-Risk on One Platform
Part of inDefend — UBA, DLP and productivity from one agent, so behaviour intelligence directly informs data protection and vice versa.
Watch Data Resolve UBA in action
The overview, getting started, and the core workflows.
inDefend Advanced — Protecting Data, Preventing Threats
The insider-threat platform.
Introducing New Capabilities in inDefend Advanced
The latest inDefend capabilities.
inDefend Policy & Control Training
Policy and control in inDefend.
Want a live, India-context walkthrough for your environment?
Book a guided demo →Perimeters leak. Govern the data itself.
Here’s what genuinely sets Data Resolve UBA apart.
Blocking alone is reactive — behaviour catches trouble earlier
DLP stops a leak only at the moment it’s attempted, which is late. Insider incidents usually build up: unusual data access, rising copying, odd behaviour after resigning, attempts to disable controls, odd-hours access. User behaviour analytics spots those signals so teams can intervene before the incident completes.
Baseline normal, then spot what doesn't fit
Data Resolve UBA builds a baseline for each employee: what data they access, which apps they use, when they work and how much they transfer. It also compares them with peers in similar roles, then flags deviations, so risk is judged against what is normal for that person and role rather than rigid, noisy rules.
Risk scoring focuses attention where it matters
Analysts can’t watch everyone. Data Resolve UBA gives each employee a risk score that rises as concerning patterns emerge, such as unusual data access after resigning or attempts to get around controls. Teams focus on the risky few, while the majority behaving normally take no analyst time.
Behaviour and blocking, working together
On its own, a DLP alert lacks context. In inDefend, UBA adds it: the same transfer means something else from an employee whose risk score is climbing. Alerts arrive enriched, cutting false positives, and high-risk people can face tighter DLP. Both use the same agent’s telemetry, so there is no integration gap.
India-built insider-risk intelligence, at the right price
Behavioural insider-risk analytics used to mean expensive global platforms. Data Resolve, India-built since 2008 and protecting over a million endpoints, includes UBA in inDefend at India-friendly cost with local support, rather than as a separate add-on, and keeps sensitive behavioural data with a local vendor.
The honest scope
Data Resolve UBA offers baselining, anomaly detection and risk scoring tied to DLP in one inDefend agent, at India-friendly cost. Forcepoint’s risk-adaptive protection, Microsoft Insider Risk Management in E5, Teramind and UEBA/SIEM players may offer deeper analytics and machine learning at enterprise scale.
The numbers behind the platform
What your insider-risk-analytics journey looks like
Insider-risk scoping
Map insider-risk concerns (exit risk, data-heavy roles, past incidents), your DLP and how you’ll act on it. TechBag scopes it free.
Baseline & watch
inDefend agent deployed; behavioural baselines established per person and peer group; continuous analysis starting to flag deviations.
Score & prioritise
Risk scoring live; highest-risk individuals surfaced; alerts to the security team; DLP alerts enriched with behavioural context.
Proactive insider defence
Warning signs caught early, attention focused on the risky few, behaviour and blocking working together. TechBag models it in INR/GST.
The review scoreboard
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
Quick poll — what’s driving your evaluation?
Talk to an advisor“A resigning employee’s data-access pattern changed before they tried to copy anything. DLP alone would have missed it.”
“Risk scoring made insider monitoring practical: instead of watching everyone, we watch the few whose behaviour concerns us.”
“Behavioural context on our DLP alerts cut false positives dramatically. A benign trip looks nothing like a rising-risk pattern.”
“Detecting attempts to circumvent controls flagged genuine malicious intent we'd have otherwise missed. That's the signal that matters.”
“Peer comparison surfaced someone acting unusually for their role, a risk a per-person baseline alone would have missed.”
“Behavioural insider-risk intelligence, integrated with DLP in one agent, at a cost we could afford when global platforms weren’t.”
“The investigation timeline let us reconstruct exactly what a flagged individual did — the evidence to confirm the threat and act on it.”
“The global UEBA platforms go deeper on ML — but for integrated, practical insider-risk detection tied to our DLP, Data Resolve was the right fit.”
Where everyone sits — the grids
Analyst firms bury this view behind paywalls, and review-site grids score satisfaction, not fit for your estate. So here’s TechBag’s synthesis of the data-security market — tap any vendor to see why it sits where it does.
TechBag Data-Security Grid
Execution strength vs product vision — the classic market map, minus the paywall.
India-built insider-risk intelligence tied to inDefend DLP. This page’s product.
Behavioural Depth × Insider-Risk Breadth
The grid nobody publishes — behavioural-analytics depth vs insider-risk analytics breadth.
Solid insider-risk analytics, natively tied to DLP, India-built.
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
Data Resolve UBA vs the insider-risk field
The global UEBA leaders and the bundled option — honest lanes; the edge is effective insider-risk intelligence tightly coupled with DLP in one India-built agent, at local value.
| Dimension | Data Resolve UBA | Forcepoint | Microsoft Insider Risk | Teramind | No UBA |
|---|---|---|---|---|---|
| Standing & origin | India-built, part of inDefend | Global leader | Bundled (Microsoft) | Global specialist | The gap |
| Behaviour analytics depth | Solid | Deep (risk-adaptive) | Microsoft-scoped | Deep | None |
| DLP integration | Native (inDefend) | Native | Purview-linked | Native | None |
| Cost & local support (India) | India-friendly + local | Enterprise-priced | Bundled cost | Global-priced | Free |
| Best fit | India-built insider-risk intelligence tightly coupled with DLP, one agent, local value | Global risk-adaptive protection | All-in on Microsoft E5 | Deep monitoring + behaviour | Nobody facing insider risk |
Which data security & privacy approach fits you?
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Choose Data Resolve UBA if…
- You want proactive insider-risk detection, not just reactive blocking
- You value UBA tightly integrated with DLP in one agent
- Risk scoring to focus on the highest-risk few matters
- You want it India-built, locally supported, at sensible cost
Choose Forcepoint if…
- You want a global leader's advanced risk-adaptive protection (hub live)
Choose Microsoft Insider Risk if…
- You're all-in on Microsoft E5 and want bundled insider-risk management
Choose Teramind if…
- You want a global specialist's deep monitoring plus behaviour analytics
No UBA if…
- Never — blocking alone is reactive; you miss the warning signs
Data Resolve User Behaviour Analytics is one of 21 dlp & insider risk products TechBag carries. The DLP & Insider Risk guide narrows them to a shortlist and shows the reasoning. →
What could this save you?
Drag the sliders (count users; IT-hour cost as loaded incident rate). Estimates assume ~1.5 hours per user per year of manual effort this tool automates away, with ~70% of that effort removed — the avoided-risk value is the larger, unpriced win. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models your actual environment and modules.
Three ways to consume it
Data Resolve UBA prices per endpoint / user (part of inDefend). TechBag scopes it for your insider-risk needs in one GST quote.
User Behaviour Analytics
Best for insider-risk detection
- Baseline normal, flag anomalies
- Employee risk scoring
- Catch exit-risk & circumvention early
+ Platform add-ons
Best for a broader rollout
- Scoped to your estate
- Add-on modules as needed
- Phased, right-sized deployment
+ DLP (inDefend)
Best for full insider defence
- Behavioural context on every DLP alert
- Behaviour + blocking, one agent
- India-built, local support
Buy it for less — TechBag pricing beats list
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
Get an India-ready quote
Tell us your requirements and current tools — we’ll model it against what you spend today.
The 8 questions to ask every vendor
Take this into your next vendor call — including ours.
Confirm it baselines normal behaviour per person AND peer group — the reference deviations are judged against.
Test detection of the patterns you care about — exit-risk spikes, unusual access, control circumvention.
Verify employee risk scoring focuses attention on the highest-risk few — practical at your scale.
Confirm UBA adds behavioural context to DLP alerts — cutting false positives, prioritising real threats.
Test real-time alerts on rising risk — early enough to intervene before an incident completes.
Confirm the behavioural timeline supports investigation — evidence to confirm and act on a threat.
Confirm India-friendly cost and local support — insider-risk intelligence within practical reach.
Right-size per endpoint / user — TechBag scopes and quotes in INR/GST.
Questions buyers ask
Ready to catch insider threats early?
Scope a UBA PoC (baseline behaviour, flag anomalies, score risk) — working with DLP in the same agent — or let a TechBag advisor plan your proactive insider defence.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.