Mimecast Incydr
Secure the front door. Email is where most attacks arrive — Mimecast Incydr catches data leaving via employees — USB, personal cloud, webmail, Git — risk-ranked with full context, without rigid DLP policies.
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How it’s rated
Full scoreboard ↓Quick answer
The Mimecast platform family
This page covers Incydr — the insider-risk layer (Code42). The rest of the platform:
Quick facts
30-second orientation- Product
- Mimecast Incydr — insider risk & data protection
- Vendor
- Mimecast (Incydr via Code42, acquired 2024)
- The threat
- Data leaving via employees — accidental to malicious
- The approach
- Watch how data moves, not rigid block-everything DLP
- Sees
- USB, personal cloud, personal email, Git, unmanaged devices
- Response
- Micro-learning · case management · blocking (graduated)
- Deploys
- Fast — no lengthy DLP policy projects
- Part of
- The Human Risk Management platform
- Licensing
- Per user
- In India via
- TechBag — quotes, PoCs, GST invoicing, Tier-1 support
Understand cybersecurity before you buy it
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What is insider-risk management?
Protection against data leaving via employees — accidental, negligent or malicious — by watching how data actually moves, not rigid content rules.
The Code42 Incydr technology, now in Mimecast’s platform.
Unprotected estate vs modern security — the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | Unprotected / signature email | Incydr (Mimecast) |
|---|---|---|
| The model | Pre-defined content policies | Watch how data actually moves |
| False positives | Floods that bury analysts | Risk-ranked, few real events |
| Exfiltration vectors | One channel, or missed | USB, cloud, email, Git, devices |
| Departing employees | Slip through | Flagged with context |
| Response | Block everything, frustrate all | Micro-learn, investigate, block |
| Deployment | Multi-quarter policy project | Fast, no policy marathon |
| Productivity | Ground to a halt | Non-disruptive by design |
| The context | Siloed data tool | Connected human-risk view |
No content-policy project — watch how data moves, respond to fit the risk. Connects to email in one human-risk platform.
The five pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Data-Movement Monitoring
Watches file movement across USB, personal cloud, personal email, browser uploads, Git and unmanaged devices, without predefined content policies.
Risk Prioritisation
Surfaces the exfiltration that matters, ranked by risk and enriched with context (who, what, where, how, when) — so analysts see the few real risks, not thousands of policy alerts.
Graduated Response
Automated micro-learning for accidental low-risk events, case management for investigations, and blocking for the highest-risk cases — response proportional to risk.
Fast Deployment
Engineered to deploy fast without lengthy rollouts or complex policy management — value in days, not the multi-quarter DLP project buyers dread.
HRM Platform
Part of the Human Risk Management platform — insider-risk connects to email, collaboration and awareness training in one human-risk view.
One watch on file movement across exfiltration vectors — risk-ranked events answered with training, cases or containment.
Twelve capabilities. Detect, respond, connect.
Mimecast Incydr catches the data that walks out via employees — risk-ranked, fast to deploy, part of the Mimecast portfolio.
Exfiltration Detection
Detects data leaving via USB, personal cloud, personal email, browser upload, Git and unmanaged devices — the real ways data walks out.
Full Event Context
Every event enriched with who, what, where, when and how — the context to judge whether it is accidental, negligent or malicious.
Risk Prioritisation
Surfaces the exfiltration that matters, ranked by risk — the few real risks, not thousands of DLP policy alerts.
Departing-Employee Risk
Flags the classic insider risk — a departing employee taking files to a personal account or drive before they leave.
No Rigid DLP Policies
Watches how data moves rather than requiring pre-defined content policies to block — avoiding the false positives and friction of legacy DLP.
Automated Micro-Learning
Accidental, non-malicious risk triggers automated micro-learning — coaching the user in the moment, not a security ticket.
Case Management
Built-in case management for efficient investigation collaboration — the workflow to run an insider-risk case to conclusion.
Automated Blocking
For the highest-risk use cases, automated blocking stops the exfiltration — response proportional to the risk.
Rapid Deployment
No lengthy rollouts or complex policy management — engineered for fast time-to-value, unlike the classic DLP project.
Human Risk Signals
Feeds the Human Risk Management platform — the risky data-mover connected to their email, collaboration and training profile.
Email Exfiltration Link
Connects to Mimecast email security — data leaving by personal email seen alongside the email threat picture.
Non-Disruptive by Design
Detects and responds without disrupting employee productivity — security that does not grind the business to a halt.
Watch Incydr in action
The overview, getting started, and protecting M365 email.
Insider Risk Detection and Insider Threat Training
How Incydr detects insider risk and data exfiltration.
How to Detect Insider Threats
Detecting the data that leaves via employees.
Mimecast's Human Risk Command Center
The platform insider-risk signals connect into.
Want a live, India-context walkthrough for your environment?
Book a guided demo →The endpoint catches what arrives. Email stops it arriving.
Here’s what genuinely sets Incydr apart from traditional DLP.
Traditional DLP fails at insider risk
Legacy data-loss prevention relies on content rules that flood analysts with false positives yet miss what the rules didn’t anticipate, so departing employees taking files or negligent personal-cloud shares slip through. Incydr instead watches how data actually moves and surfaces the risky exfiltration that matters.
Sees the ways data really leaves
Incydr monitors USB drives, personal cloud (Dropbox, Google Drive), personal webmail, browser uploads, Git, Airdrop and unmanaged devices. It catches the engineer pushing code to a personal GitHub or the salesperson emailing the customer list home — patterns single-channel tools miss.
Risk-ranked, with full context
Employees move data legitimately all the time. Incydr triages it, surfacing the exfiltration that matters, ranked by risk, with who moved what, to where, how and when. Analysts see a handful of risky events with context, not thousands of undifferentiated policy alerts.
Response that fits the risk
Incydr’s response matches intent: automated micro-learning coaches employees after accidental events, built-in case management handles investigations, and automated blocking stops the highest-risk exfiltration. Educate, investigate, block — not legacy DLP’s blanket blocking.
Fast to deploy — no DLP project
Classic DLP takes quarters: classify all data, write and tune policies, fight false positives. Incydr watches data movement without exhaustive content policies, so it deploys quickly and surfaces real risk in days, without disrupting employee productivity.
Insider risk in the human-risk picture
Since the Code42 acquisition, Incydr is part of Mimecast’s Human Risk Management platform, so risky data movement links to the person’s email behaviour, training status and collaboration activity — a departing employee emailing files home becomes one connected story.
The numbers behind the platform
What your insider-risk journey looks like
Insider-risk scoping
Your crown-jewel data, your exfiltration vectors (USB, cloud, webmail, Git), and your departing-employee process. TechBag scopes it free.
Incydr watching
Deployed fast — no content-policy project; watching data movement across vectors, surfacing risk-ranked exfiltration with full context.
Tune response
Micro-learning for accidental events, case management for investigations, blocking for highest-risk; connected to email in the platform.
Insider risk under control
Real exfiltration caught with context, response proportional to risk, one human-risk view. TechBag models the mix 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“Legacy DLP buried us in false positives. Incydr surfaced a departing engineer pushing code to personal GitHub, with full context.”
“It watches how data moves — USB, personal cloud, webmail — instead of needing a thousand rules. Value in days, not a year.”
“Accidental shares trigger micro-learning, real risk becomes a case, and the worst is blocked. We stopped punishing everyone.”
“Incydr flags departing employees taking files before they leave, with who, what and where attached. Days of work became minutes.”
“Linking insider-risk signals to the person’s email and training profile made human risk one story, not separate tools.”
“For enterprise DLP with regulated data classification we weighed the DLP leaders; for insider exfiltration, Incydr won.”
“It did not tank productivity — detection runs without the constant blocking that made our old DLP hated. Security the business could live with.”
“Case management built in meant our investigations stayed in one place with the evidence — no exporting to spreadsheets. Efficient.”
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 email security market — tap any vendor to see why it sits where it does.
TechBag Insider Risk Grid
Execution strength vs product vision — the classic market map, minus the paywall.
Insider risk, risk-ranked, fast, in a human-risk platform — this page's product.
Insider-Risk Depth × Human-Risk Integration
The grid nobody publishes — insider-risk depth vs human-risk platform integration.
Fast, low-noise insider risk in a human-risk platform — the corner it owns.
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.
Incydr vs the insider-risk field
The native Microsoft option, classic DLP and the lineage tools — honest lanes; the edge is fast, low-noise insider risk in a human-risk platform.
| Dimension | Mimecast Incydr | Microsoft Purview IRM | Forcepoint / classic DLP | Cyberhaven | No insider-risk tool |
|---|---|---|---|---|---|
| Approach | Watch data movement, risk-rank | M365-native IRM | Content-policy DLP | Data lineage | The gap |
| Exfiltration coverage | Broad | M365-centric | Policy-bound | Broad + lineage | None |
| Signal vs noise | Risk-ranked | Improving | False-positive heavy | Context-rich | None |
| Time-to-value | Fast | Moderate | Slow | Moderate | N/A |
| Platform connection | Human Risk Management | Microsoft Purview | DLP suite | Standalone | None |
| Best fit | Insider-risk buyers wanting fast, low-noise IRM in a human-risk platform | All-Microsoft E5 estates | Regulated data-type DLP needs | Data-lineage-first buyers | Nobody with IP or regulated data |
Which approach fits you?
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Choose Mimecast Incydr if…
- Your problem is data leaving via employees (insider risk)
- You want risk-ranked signal, not DLP false-positive floods
- Fast deployment without a content-policy project matters
- You want insider risk in one human-risk platform with email
Choose Microsoft Purview IRM if…
- You are all-in on Microsoft E5 and want native IRM
Choose classic DLP if…
- You need heavy regulated data-type classification and blocking by policy
Choose Cyberhaven if…
- Data-lineage tracing is your primary requirement
No insider-risk tool if…
- Not advisable if you hold IP or regulated data — the risk is real
Mimecast Incydr 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 does insider data loss cost you?
Drag the sliders (count users; IT-hour cost as loaded security rate). Estimates assume ~1.5 hours per user per year investigating files that leave through cloud, email, removable media and browser uploads, with ~70% removed by prioritised insider-risk alerts — the avoided data-loss 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
Mimecast Incydr prices per user. TechBag scopes it (and the connection to your email security) for your insider-risk needs in one GST quote.
Incydr
Best for insider risk
- Watch data movement across vectors
- Risk-ranked with full context
- Micro-learning / case / blocking
+ Platform add-ons
Best for a broader rollout
- Scoped to your estate
- Add-on modules as needed
- Phased, right-sized deployment
+ Platform connection
Best for one human-risk view
- Connect to email exfiltration signals
- One human-risk platform
- TechBag scopes the mix
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 sees YOUR exfiltration vectors — USB, personal cloud, personal webmail, browser upload, Git, unmanaged devices.
Test whether it surfaces the FEW real risks ranked with context, not a flood of policy alerts.
Run the departing-employee scenario — is the file-taking flagged with who/what/where before they leave?
Verify the three responses fit: micro-learning (accidental), case management (investigate), blocking (highest risk).
Confirm the fast-deploy claim against your environment — no multi-quarter content-policy project.
Decide whether to connect insider risk to email and the wider human-risk view now or later.
If you need heavy regulated data-type classification, compare classic DLP; for insider exfiltration, Incydr's model.
Right-size per user — TechBag scopes and quotes in INR/GST.
Questions buyers ask
Ready to get insider risk under control?
Scope an insider-risk PoC (catch a departing-employee exfiltration with full context), connect it to your email security, or let a TechBag advisor plan your data-protection program.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.