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Category: Email Securityby MimecastTechBag Intel Page

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.

Data leaving via employeesUSB, cloud, webmail, Git & devicesRisk-ranked, not policy floods

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How it’s rated

Full scoreboard ↓
The category
IRM / data protection
Insider risk
The approach
not block-everything
Risk-ranked
Time-to-value
no policy projects
Fast
Heritage
insider-risk pioneer
Code42

Quick answer

Mimecast Incydr is insider-risk management and data protection — the technology Mimecast acquired with Code42 in 2024. It focuses on a threat traditional DLP handles badly: the data that leaves your organisation via employees, whether accidental, negligent or malicious. Rather than relying on rigid, pre-defined DLP policies that block and frustrate, Incydr watches how data actually moves — to USB drives, personal cloud accounts, personal email, unmanaged devices, Git and more — and surfaces the risky exfiltration that matters, ranked by risk, with the full context of who, what, where and how. It is engineered to detect data exposure, loss, leak and theft fast, without lengthy deployments or complex policy management, and it offers a graduated response: automated micro-learning for accidental low-risk events, case management for investigations, and blocking for the highest-risk cases. As part of Mimecast's Human Risk Management platform, insider-risk signals connect to the same view of human risk as email, collaboration and awareness training — so the departing employee emailing files to a personal account is one connected picture. TechBag scopes, PoCs and quotes it in INR/GST.

Part 01 · Orient

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
Part 02 · Learn

Understand email security 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 inbox vs AI email security — the honest table

What consolidation actually replaces, dimension by dimension.

DimensionUnprotected / signature emailIncydr (Mimecast)
The modelPre-defined content policiesWatch how data actually moves
False positivesFloods that bury analystsRisk-ranked, few real events
Exfiltration vectorsOne channel, or missedUSB, cloud, email, Git, devices
Departing employeesSlip throughFlagged with context
ResponseBlock everything, frustrate allMicro-learn, investigate, block
DeploymentMulti-quarter policy projectFast, no policy marathon
ProductivityGround to a haltNon-disruptive by design
The contextSiloed data toolConnected human-risk view

No content-policy project — watch how data moves, respond to fit the risk. Connects to email in one human-risk platform.

Under the hood

The five pieces of the platform

Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.

01
The watcher

Data-Movement Monitoring

How data actually moves

Watches file movement across the exfiltration vectors employees use — USB, personal cloud, personal email, browser uploads, Git, unmanaged devices — rather than relying on pre-defined content policies.

02
The triage

Risk Prioritisation

The signal, ranked

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.

03
The response

Graduated Response

Fit the risk

Automated micro-learning for accidental low-risk events, case management for investigations, and blocking for the highest-risk cases — response proportional to risk.

04
The onboarding

Fast Deployment

No policy project

Engineered to deploy fast without lengthy rollouts or complex policy management — value in days, not the multi-quarter DLP project buyers dread.

05
The context

HRM Platform

Connected signals

Part of the Human Risk Management platform — insider-risk connects to email, collaboration and awareness training in one human-risk view.

One agent on every machine, one console over all of them — modules attach without a second operational world.

Part 03 · Evaluate

Twelve capabilities. Detect, respond, connect.

Mimecast Incydr catches the data that walks out via employees — risk-ranked, fast to deploy, part of the portfolio, and paired with the human firewall.

Detect
Exfiltration

Exfiltration Detection

Detects data leaving via USB, personal cloud, personal email, browser upload, Git and unmanaged devices — the real ways data walks out.

Detect
Context

Full Event Context

Every event enriched with who, what, where, when and how — the context to judge whether it is accidental, negligent or malicious.

Detect
Risk rank

Risk Prioritisation

Surfaces the exfiltration that matters, ranked by risk — the few real risks, not thousands of DLP policy alerts.

Detect
Departing

Departing-Employee Risk

Flags the classic insider risk — a departing employee taking files to a personal account or drive before they leave.

Detect
No content rules

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.

Respond
Micro-learning

Automated Micro-Learning

Accidental, non-malicious risk triggers automated micro-learning — coaching the user in the moment, not a security ticket.

Respond
Case mgmt

Case Management

Built-in case management for efficient investigation collaboration — the workflow to run an insider-risk case to conclusion.

Respond
Blocking

Automated Blocking

For the highest-risk use cases, automated blocking stops the exfiltration — response proportional to the risk.

Respond
Fast deploy

Rapid Deployment

No lengthy rollouts or complex policy management — engineered for fast time-to-value, unlike the classic DLP project.

Connect
HRM

Human Risk Signals

Feeds the Human Risk Management platform — the risky data-mover connected to their email, collaboration and training profile.

Connect
Email tie

Email Exfiltration Link

Connects to Mimecast email security — data leaving by personal email seen alongside the email threat picture.

Connect
Productivity

Non-Disruptive by Design

Detects and responds without disrupting employee productivity — security that does not grind the business to a halt.

See it, don’t just read it

Watch Incydr in action

The overview, getting started, and protecting M365 email.

Code42 University (official)·Overview

Insider Risk Detection and Insider Threat Training

How Incydr detects insider risk and data exfiltration.

Code42 University (official)·Explainer

How to Detect Insider Threats

Detecting the data that leaves via employees.

Mimecast (official)·Overview

Mimecast's Human Risk Command Center

The platform insider-risk signals connect into.

Want a live, India-context walkthrough on your own fleet?

Book a guided demo →
Why Incydr

The endpoint catches what arrives. Email stops it arriving.

Here’s what genuinely sets Incydr apart from traditional DLP.

01

Traditional DLP fails at insider risk

Legacy data-loss prevention relies on pre-defined content policies — rules that try to describe every kind of sensitive data and block it. In practice that produces two failures at once: floods of false positives that bury analysts and frustrate employees, and blind spots for anything the rules did not anticipate. Insider risk — a departing employee taking files, a negligent share to personal cloud — routinely slips through. Incydr takes a different approach: instead of trying to classify all content up front, it watches how data actually moves and surfaces the risky exfiltration that matters, which is far better suited to catching what employees actually do with data.

02

Sees the ways data really leaves

Data does not walk out only one way. Incydr monitors the full range of exfiltration vectors employees use: USB drives, personal cloud accounts (Dropbox, Google Drive), personal webmail, browser uploads, Git repositories, Airdrop, and unmanaged devices. Because it watches movement across all of these rather than one channel, it catches the departing engineer pushing source code to a personal GitHub, or the salesperson emailing the customer list to a personal address — the real-world exfiltration patterns that single-channel or content-rule tools miss.

03

Risk-ranked, with full context

Not every file movement is a threat — employees legitimately move data constantly. Incydr's value is triage: it surfaces the exfiltration that matters, ranked by risk and enriched with the full context of who moved what, to where, how and when. Analysts see the handful of genuinely risky events with the story attached, rather than drowning in thousands of undifferentiated policy alerts. That signal-over-noise focus is what makes insider-risk management actually workable for a real security team.

04

Response that fits the risk

Incydr's response is graduated, matched to intent. For accidental, non-malicious events, automated micro-learning coaches the employee in the moment — turning a mistake into a teachable moment without a security ticket. For events that need investigation, built-in case management runs the case. For the highest-risk use cases, automated blocking stops the exfiltration outright. This graduated model — educate, investigate, block — is far more practical than legacy DLP's blunt block-everything stance, which frustrates the many to stop the few.

05

Fast to deploy — no DLP project

Buyers dread DLP because classic deployments are multi-quarter projects: classify all the data, write and tune endless policies, fight false positives for months. Incydr is engineered for fast time-to-value — it watches data movement without requiring you to pre-define exhaustive content policies, so it deploys quickly and starts surfacing real risk in days, not after a lengthy rollout. That speed-to-value, without disrupting employee productivity, is a core reason organisations choose it over traditional DLP.

06

Insider risk in the human-risk picture

Since the Code42 acquisition, Incydr is part of Mimecast's Human Risk Management platform — so insider risk is not a siloed data-security tool. The employee moving data risky-ly connects to the same human-risk view as their email behaviour, their awareness-training status and their collaboration activity. A departing employee emailing files to a personal account, for instance, is one connected story across email and insider-risk signals. That connected view of the human across every channel is Mimecast's differentiator over a standalone insider-risk or DLP point product.

The top vector
Where most attacks start
AI detection
Phishing, BEC, impersonation
Fast to deploy
No content-policy project
Proof, not promises

The numbers behind the platform

0 threat, done right
data leaving via employees, caught
The focus
0+ vectors
USB, cloud, email, Git, browser, devices
The coverage
0 responses
micro-learning, case management, blocking
Graduated
0 policy project
fast deploy, no content-rule marathon
Time-to-value
0 platform
insider risk in the human-risk view
Human Risk Management
0
Code42/Incydr joined Mimecast
Acquisition

What your insider-risk journey looks like

Day 0Free

Insider-risk scoping

Your crown-jewel data, your exfiltration vectors (USB, cloud, webmail, Git), and your departing-employee process. TechBag scopes it free.

Week 1PoC

Incydr watching

Deployed fast — no content-policy project; watching data movement across vectors, surfacing risk-ranked exfiltration with full context.

Week 2–3Deploy

Tune response

Micro-learning for accidental events, case management for investigations, blocking for highest-risk; connected to email in the platform.

Month 2+Scale

Insider risk under control

Real exfiltration caught with context, response proportional to risk, one human-risk view. TechBag models the mix in INR/GST.

Trusted across regulated industries in 100+ countries

42,000+ organisations (platform)Technology & softwareFinancial servicesHealthcare & life sciencesManufacturing & engineeringProfessional servicesGovernment & public sectorIP-intensive businessesInsuranceEnterprises in 100+ countries42,000+ organisations (platform)Technology & softwareFinancial servicesHealthcare & life sciencesManufacturing & engineeringProfessional servicesGovernment & public sectorIP-intensive businessesInsuranceEnterprises in 100+ countries
Verified reviews

The review scoreboard

Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.

4.4
400+ reviews*
89% would recommend
Exfiltration detection4.6
Signal vs noise4.5
Time-to-value4.5
Evaluation & contracting4.1
5
60%
4
29%
3
7%
2
2%
1
2%

Quick poll — what’s driving your evaluation?

Talk to an advisor
Technology
Legacy DLP buried us in false positives and still missed the real thing. Incydr surfaced the departing engineer pushing code to personal GitHub — ranked, with full context. That is the difference.
Insider Risk Lead
Technology
Manufacturing
It watches how data actually moves — USB, personal cloud, webmail — instead of demanding we write a thousand content rules. We got value in days, not a year-long project.
Security Architect
Manufacturing
Financial Services
The graduated response is the win: accidental shares trigger micro-learning, real risk goes to a case, and the worst gets blocked. We stopped punishing everyone to catch a few.
CISO
Financial Services
Professional Services
Departing-employee risk was our nightmare. Incydr flags the file-taking before they leave, with the who/what/where attached. Investigations that took days take minutes.
Security Operations Lead
Professional Services
Healthcare
Connecting insider-risk signals to the person's email and training profile in one platform changed how we think about human risk — it is one story, not separate tools.
Head of Security
Healthcare
Insurance
For pure enterprise DLP with regulated data-type classification we still weighed the DLP leaders. For insider risk and exfiltration specifically, Incydr's approach won. Scope both.
IT Director
Insurance
Retail
It did not tank productivity — detection runs without the constant blocking that made our old DLP hated. Security the business could live with.
Security Engineer
Retail
Government
Case management built in meant our investigations stayed in one place with the evidence — no exporting to spreadsheets. Efficient.
Insider Threat Analyst
Government
The market maps

Where everyone sits — the grids

Analyst firms bury this view behind paywalls, and G2 retired its Grid. So here’s TechBag’s synthesis of the email security market — tap any vendor to see why it sits where it does.

Grid 01 · The market

TechBag Email-Security Grid

Execution strength vs product vision — the classic market map, minus the paywall.

ChallengersLeadersSpecialistsVisionaries
Mimecast IncydrThis page

Insider risk, risk-ranked, fast, in a human-risk platform — this page's product.

Grid 02 · The architecture

Detection × Portfolio Integration

The grid nobody publishes — how strong the email detection is vs how integrated with the wider security portfolio.

Easy but shallowDeep & runnableLegacy toolsDeep but heavy
IncydrThis page

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.

Part 04 · Decide

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.

DimensionMimecast IncydrMicrosoft Purview IRMForcepoint / classic DLPCyberhavenNo insider-risk tool
ApproachWatch data movement, risk-rankM365-native IRMContent-policy DLPData lineageThe gap
Exfiltration coverageBroadM365-centricPolicy-boundBroad + lineageNone
Signal vs noiseRisk-rankedImprovingFalse-positive heavyContext-richNone
Time-to-valueFastModerateSlowModerateN/A
Platform connectionHuman Risk ManagementMicrosoft PurviewDLP suiteStandaloneNone
Best fitInsider-risk buyers wanting fast, low-noise IRM in a human-risk platformAll-Microsoft E5 estatesRegulated data-type DLP needsData-lineage-first buyersNobody with IP or regulated data
Strong Partial / add-on Weak / externalCompiled from public vendor materials and review platforms for orientation; verify before relying on it.

Which email-security 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
Do the math

What do email threats cost you?

Drag the sliders (count users; IT-hour cost as loaded incident rate). Estimates assume ~1.5 hours per user per year handling email threats that reach the inbox without AI filtering, with ~70% removed by stopping the mass at the gateway — the avoided-breach value (most attacks start here) is the larger, unpriced win. Illustrative.

300
2510,000
800
₹300₹2,000

Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models actual device counts and modules.

Current annual email-threat cost
₹3,60,000
Estimated annual savings
₹2,52,000
₹12,60,000 over 5 years
Turn this into a real quote →
Pricing & plans

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 a discounted quote →

Get an India-ready quote

Tell us your device counts and current tools — we’ll model it against what you spend today.

Get Quote
Evaluation kit

The 8 questions to ask every vendor

Take this into your next vendor call — including ours.

1
Vector coverage

Confirm it sees YOUR exfiltration vectors — USB, personal cloud, personal webmail, browser upload, Git, unmanaged devices.

2
Signal quality

Test whether it surfaces the FEW real risks ranked with context, not a flood of policy alerts.

3
Departing employee

Run the departing-employee scenario — is the file-taking flagged with who/what/where before they leave?

4
Graduated response

Verify the three responses fit: micro-learning (accidental), case management (investigate), blocking (highest risk).

5
Time-to-value

Confirm the fast-deploy claim against your environment — no multi-quarter content-policy project.

6
Platform connect

Decide whether to connect insider risk to email and the wider human-risk view now or later.

7
DLP honesty

If you need heavy regulated data-type classification, compare classic DLP; for insider exfiltration, Incydr's model.

8
Sizing

Right-size per user — TechBag scopes and quotes in INR/GST.

FAQ

Questions buyers ask

Incydr is Mimecast's insider-risk management and data-protection product — the technology Mimecast acquired when it bought Code42 in 2024. It addresses a specific threat that traditional DLP handles poorly: data leaving the organisation via employees, whether by accident, negligence or malice. Instead of relying on rigid, pre-defined content policies (the legacy DLP model that produces false-positive floods and blind spots), Incydr watches how data actually moves — to USB drives, personal cloud accounts, personal email, browser uploads, Git, and unmanaged devices — and surfaces the risky exfiltration that matters, ranked by risk and with full context (who, what, where, how, when). It offers a graduated response: automated micro-learning for accidental low-risk events, case management for investigations, and blocking for the highest-risk cases. As part of Mimecast's Human Risk Management platform, insider-risk signals connect to email, collaboration and awareness-training in one human-risk view.

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.