- BFSIBanking, Financial Services & Insurance
- HealthcareComing soon
- ManufacturingComing soon
- Retail & E-CommerceComing soon
Inbound Email Security
Secure the front door. Email is where most attacks arrive — Abnormal AI’s Inbound Email Security is AI-native, behavioural email security — stopping the BEC, phishing, account takeover & VEC that gateways & native defences miss. API-integrated with M365/Google, it deploys in minutes, no MX change.
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How it’s rated
Full scoreboard ↓Quick answer
The Abnormal AI platform family
This page covers Abnormal Inbound Email Security — the flagship. The rest of the Abnormal platform:
Quick facts
30-second orientation- Product
- Inbound Email Security — behavioural AI
- Vendor
- Abnormal AI (founded 2018 · San Francisco)
- The category
- AI-native email security (ICES)
- What it does
- Stop BEC, phishing, ATO, VEC gateways miss
- The approach
- Behavioural AI (Attune) — model normal, flag anomalies
- Deployment
- API-integrated (M365/Google) — minutes, no MX change
- Model
- Layers behind native mail (augment or replace SEG)
- Scale
- 3,000+ customers · ~1 in 5 Fortune 500
- Vs
- Proofpoint, MS Defender O365, Mimecast, Sublime
- In India via
- TechBag — scoping, licensing, local support, GST
Understand AI-native email security before you buy it
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What is Abnormal Inbound Email Security?
AI-native, behavioural email security — stop the BEC, phishing, ATO & VEC attacks gateways & native defences miss. API-integrated with M365/Google, deploys in minutes, no MX change.
Signature gateways (& native) vs Abnormal behavioural AI — the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | Unprotected / signature email | Inbound Email Security (Abnormal AI) |
|---|---|---|
| Detection | Signatures & reputation | Behavioural AI (anomalies) |
| BEC / social engineering | Missed (no payload) | Caught (behaviour + intent) |
| Deployment | MX change, a project | API, minutes, no re-route |
| Fit with native | Rip & replace | Layer on M365/Google |
| Post-delivery | Inline only | Analyse + auto-remediate |
| False positives | Noisy | Low (context-aware) |
| VEC / supply chain | Hard to catch | Relationship-aware |
| Best fit | (varies) | Behavioural email layer on M365/Google |
Abnormal AI Inbound Email Security is AI-native, behavioural email security — it catches the BEC, phishing, account takeover & VEC that gateways & native defences miss, via the Attune behavioural engine, API-integrated with M365/Google (deploy in minutes, no MX change), layering on your native security. Honest: it’s email-first, narrower than a full platform — need DLP/compliance? Proofpoint (TechBag sells it). TechBag scopes it & adds GST.
The five pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Learn Normal Behaviour
Abnormal’s AI (Attune) learns the normal behaviour of every identity and relationship in your organisation — who emails whom, tone, timing, devices, sign-in patterns, financial-request norms — building a behavioural baseline. Know normal, so you can spot abnormal. The baseline is the moat.
Detect the Anomaly
When something deviates from the baseline — an out-of-pattern invoice request, an unusual login, a novel vendor thread, an impersonation — Abnormal flags it as a likely attack, catching the social engineering that signatures can’t. Behaviour beats signatures. Catch the anomaly.
API-Integrated (No MX Change)
Abnormal integrates via API with Microsoft 365 or Google Workspace — no MX-record change, no mail re-routing — so it deploys in MINUTES and sits behind your native mail, analysing everything post-delivery. Live in minutes, not a project. No re-routing.
Augment or Replace the SEG
Because it’s API-based and post-delivery, Abnormal AUGMENTS your Microsoft/Google native security (catching what native misses) — or can REPLACE a legacy secure email gateway. It layers on, complementing your stack. Add protection, keep your stack.
Catch What Gateways Miss
The result: Abnormal catches the advanced, behavioural attacks — BEC, credential phishing, account takeover, vendor email compromise — that traditional gateways and native defences let through, because it detects BEHAVIOUR, not known signatures. Stop what others miss. The attacks that cost the most.
One agent on every machine, one console over all of them — modules attach without a second operational world.
Twelve capabilities. Learn, detect, stop.
Abnormal catches the behavioural, socially-engineered attacks gateways miss — API-integrated, in minutes — the email-security flagship of portfolio, and paired with the human firewall.
Behavioural Baselines (Attune)
Learn the normal behaviour of every identity and relationship — communication patterns, tone, timing, financial-request norms — so anomalies stand out. Know normal, catch abnormal. The behavioural foundation.
Identity & Relationship Graph
Model who normally communicates with whom — internal and external relationships — so an unexpected sender, a spoofed relationship or a novel vendor thread is caught. Map the relationships. Spot the imposter.
Content & Intent Analysis
Understand the CONTENT and intent of a message — an unusual financial request, a credential lure, urgency and pressure tactics — not just the sender or links. Read the intent. Catch the con.
Business Email Compromise (BEC)
Catch BEC — the payload-less, socially-engineered attacks (fake invoices, CEO fraud, wire-transfer requests) that cause the biggest financial losses and that signature-based tools miss. Stop the costliest attack. No payload needed to catch it.
Advanced Credential Phishing
Detect advanced credential phishing — including the polished, targeted lures that evade reputation and signature filters — by spotting the behavioural and content anomalies. Catch the clever phish. Beyond reputation lists.
Vendor Email Compromise (VEC)
Detect vendor/supply-chain email compromise — attacks that come through a compromised or impersonated vendor thread — by understanding your normal vendor relationships. Catch the supply-chain attack. Trust, verified by behaviour.
Spoofing & Impersonation Detection
Catch executive and brand impersonation and spoofing — by knowing the real relationships and behaviour, so a fake ‘CEO’ or spoofed partner is flagged. Know the real from the fake. Impersonation, caught.
Post-Delivery Detection & Auto-Remediation
Because it analyses post-delivery via API, Abnormal catches threats even after they land — and automatically remediates (pulls malicious mail from inboxes org-wide). Catch it even after delivery. Auto-clawback.
API Deployment in Minutes
Integrate via API with Microsoft 365 or Google Workspace — no MX-record change, no mail re-routing — so you’re protected in MINUTES, not a migration project. Live in minutes. Zero disruption.
Augment or Replace the Gateway
Layer Abnormal ON your Microsoft/Google native security to catch what it misses — or use it to replace a legacy secure email gateway entirely. Add protection without ripping out your stack. Your choice.
High Efficacy, Low False Positives
Because it understands behaviour and context, Abnormal catches real attacks with few false positives — so security teams aren’t buried in noise. Catch more, chase less. Signal, not noise.
Anchor of the Behavioural Platform
Inbound Email is the anchor of Abnormal’s broader behavioural platform — account takeover, autonomous AI security agents, email productivity and (2026) identity threat and AI governance (see those pages). Start at email, extend to human-behaviour security. One model, more coverage.
Watch Abnormal AI in action
The overview, getting started, and protecting M365 email.
Inbound Email Security — Product Demo
The flagship, walked through.
Abnormal Inbound Email Protection — Overview
How behavioural AI stops attacks.
How Abnormal Builds a Behavioural Baseline
The Attune engine, explained.
Want a live, India-context walkthrough on your own fleet?
Book a guided demo →The endpoint catches what arrives. Email stops it arriving.
Here’s what genuinely sets Abnormal apart (and where it’s a layer, not a platform).
Catch the behavioural attacks that gateways (and native) miss
The single biggest reason organisations choose Abnormal is that it catches the advanced, socially-engineered attacks — BEC, credential phishing, account takeover, vendor email compromise — that traditional secure email gateways and Microsoft/Google native defences let through, because Abnormal detects BEHAVIOUR, not signatures. The problem it solves: the most damaging email attacks (especially BEC and social engineering) are often payload-less — no malicious attachment or known-bad link, just a convincing message asking for a wire transfer, a credential, or a favour. Signature- and reputation-based tools (legacy gateways, and even native Microsoft/Google filters) are built to catch known-bad indicators — so these behavioural attacks sail through, and they cause the biggest financial losses. What Abnormal provides: a fundamentally different approach — behavioural AI (Attune) that learns the NORMAL behaviour of every identity and relationship (who emails whom, tone, timing, financial-request norms) and flags ANOMALIES: an out-of-pattern invoice request, an impersonated relationship, an unusual login, a novel vendor thread. It understands the content and intent of a message, not just its sender and links. So it catches the social engineering that has no signature to match. Why it matters: because behavioural attacks are the ones that cause real losses AND the ones legacy/native tools miss, catching them is the highest-value thing an email-security layer can do. Abnormal’s behavioural approach is purpose-built for exactly this gap — which is why enterprises add it on top of (or in place of) their existing email security. The value: Abnormal catches the behavioural, socially-engineered attacks (BEC, phishing, ATO, VEC) that gateways and native defences miss — by detecting anomalies in behaviour, not signatures. For stopping the costliest attacks, this matters. TechBag helps organisations deploy Abnormal’s behavioural AI. TechBag helps you catch what your gateway misses.
AI-native, API-based — deploy in minutes, no MX change
A defining, practical strength of Abnormal is its ARCHITECTURE: it’s AI-native and API-integrated — connecting to Microsoft 365 or Google Workspace via API, deploying in MINUTES with no MX-record change or mail re-routing — a stark contrast to the deployment friction of a traditional secure email gateway. The problem it solves: deploying a legacy secure email gateway (SEG) means changing your MX records to re-route all mail through the vendor, a disruptive, risky, project-level change — and once deployed, it inspects mail inline (a potential point of failure and delay). This friction slows adoption and complicates the mail flow. What Abnormal provides: an ICES (Integrated Cloud Email Security) model — it integrates via API and sits BEHIND your native Microsoft/Google security, analysing everything POST-DELIVERY. So: deployment takes minutes (connect the API, done), there’s no MX change and no mail re-routing (your existing mail flow is untouched), and because it’s post-delivery it can even catch and remediate threats after they land (auto-pulling malicious mail from inboxes org-wide). Why it matters: fast, frictionless deployment means you get protection immediately without a migration project or mail-flow risk — you can even trial it easily. And the API/post-delivery model means Abnormal layers cleanly onto your existing stack (augmenting native and/or replacing a legacy gateway) rather than forcing a rip-and-replace. For modern, cloud-email (M365/Google) organisations, this architecture is a major practical advantage. The value: Abnormal is AI-native and API-based — deploy in minutes with no MX change or mail re-routing, layering behind your native security. For fast, frictionless email protection, this matters. TechBag helps organisations deploy Abnormal in minutes. TechBag helps you add protection without the project.
Human-behaviour AI — the moat, built from ad-tech ML roots
A distinctive strength of Abnormal is the DEPTH of its behavioural AI — its engine (Attune) is trained on billions of behavioural signals and models human behaviour to detect attacks, an approach rooted in the founders’ ad-tech/behavioural-ML background — and this is its genuine moat. The origin story: Abnormal’s founders came from the advertising-ML/behavioural-profiling world (Twitter/TellApart), not classic cybersecurity — and the founding insight was to apply ad-tech-style behavioural modelling (the same techniques used to understand and predict human behaviour at scale) to DETECTING social engineering. That’s a genuinely different lineage from signature-based security. What the AI does: Attune models identity, behaviour and relationships — building a rich, per-organisation understanding of normal — and detects the deviations that signal an attack. It improves as it sees more behaviour, and it generalises across the many ways social engineering manifests. Abnormal has extended this same behavioural model beyond email into account takeover, and (in 2025–2026) autonomous AI security agents and identity/AI governance — one behavioural engine, many applications. Why it matters: because email attacks are fundamentally about manipulating human BEHAVIOUR, a security approach built on modelling human behaviour is well-matched to the threat — and Abnormal’s ad-tech-ML depth and focus give it a real, hard-to-replicate advantage in behavioural detection. It’s the core reason Abnormal catches what others miss. The value: Abnormal’s behavioural AI (Attune) — built from ad-tech ML roots, modelling human behaviour at scale — is a genuine, hard-to-replicate moat for catching social engineering. For behavioural detection depth, this matters. TechBag helps organisations adopt Abnormal’s behavioural AI. TechBag helps you fight social engineering with behaviour AI.
Layers onto Microsoft/Google — augment your existing security
A key practical strength of Abnormal is that it LAYERS ONTO your existing Microsoft 365 or Google Workspace security — it augments the native defences you already have (catching what they miss) rather than demanding you rip out your stack — which makes it low-risk to add. The problem it solves: most organisations already have native email security (Microsoft Defender for Office 365 with M365, or Google’s protections with Workspace) and may have a legacy gateway too. They don’t want to rip that out — they want to close the gap where advanced attacks still get through. What Abnormal provides: because it’s API-based and post-delivery, Abnormal sits BEHIND your native security and catches what native (and any gateway) misses — the behavioural, socially-engineered attacks — so it AUGMENTS your existing protection. (It can also replace a legacy SEG if you want to consolidate.) You keep your Microsoft/Google investment and add the behavioural layer that closes the gap. Why it matters: augmenting rather than replacing means low deployment risk (nothing to rip out, no mail-flow change), clear added value (it catches specifically what your current tools miss), and easy justification (it’s a targeted gap-closer, not a wholesale migration). For the many organisations running M365 or Google, adding Abnormal as a behavioural layer is a pragmatic, high-value move. (Honest note: because it complements native security, Abnormal is a LAYER, not a full email-and-human-risk platform — see the honest scope.) The value: Abnormal layers onto your Microsoft/Google native security — augmenting it to catch the behavioural attacks it misses — rather than forcing a rip-and-replace. For low-risk added protection, this matters. TechBag helps organisations layer Abnormal onto their stack. TechBag helps you close the email-security gap.
A fast-growing modern leader — and TechBag adds local India support
Abnormal AI is a fast-growing, modern email-security leader — and for Indian enterprises TechBag adds the local scoping, licensing and INR/GST support that make adopting it straightforward. Abnormal the company: founded in 2018 (San Francisco), Abnormal rebranded from ‘Abnormal Security’ to ‘Abnormal AI’ in 2025 to reflect its AI-native identity; it was last valued at $5.1B (a 2024 round led by Wellington), has ~$200M ARR growing ~100% year over year, and protects 3,000+ customers including roughly 1 in 5 of the Fortune 500 — a genuine, fast-scaling modern leader in AI email security. India relevance: BEC, phishing and invoice fraud are top threats for Indian enterprises (BFSI, IT/ITES, manufacturing exporters facing VEC), and because most Indian enterprises run Microsoft 365 or Google Workspace, Abnormal layers on cleanly via API with fast deployment. Importantly, Abnormal’s BENGALURU office is its primary R&D/engineering centre and largest office outside San Francisco — much of its ML infrastructure and detection engineering runs from India, a genuine credibility point for Indian buyers. Where TechBag adds value: Abnormal is quote-priced (per-mailbox, in USD) — so TechBag adds local scoping, honest comparison (vs Proofpoint and Microsoft), INR/GST invoicing, onboarding and local support (and helps confirm data-residency requirements for DPDPA). The value: Abnormal AI is a fast-growing modern leader with major Bengaluru R&D — and TechBag adds local scoping, honest comparison, INR/GST and support. TechBag supplies it with local support. TechBag provides Abnormal, made local for India.
The honest scope
Abnormal AI’s Inbound Email Security is its flagship — an AI-native, behavioural, API-integrated (ICES) email-security product that catches the advanced, socially-engineered attacks (BEC, phishing, ATO, VEC) that gateways and native defences miss, deploying in minutes with no MX change. From Abnormal AI (founded 2018; rebranded from Abnormal Security in 2025; ~$200M ARR; 3,000+ customers). The honest framing — strengths, and where it’s a layer not a platform: Abnormal’s strengths are best-in-class BEHAVIOURAL detection (catching what signatures miss), a genuine AI moat (Attune, from ad-tech ML roots), and frictionless API deployment (minutes, no MX change). But two honest caveats matter: (1) It is NARROWER than a full platform. Proofpoint (a Wave-C sibling TechBag also sells) offers a much broader human-risk platform — DLP, information protection, compliance/archiving and security awareness training — that Abnormal does NOT match at that depth. If you need archiving, compliance or DLP, Abnormal is a layer, not the whole answer. (2) It LAYERS ON native security. Abnormal is an ICES that sits behind Microsoft 365 / Google native security via API and COMPLEMENTS it — it typically augments your native protection (and can replace a legacy gateway), but it’s not a wholesale replacement for your entire mail stack; you keep your Microsoft/Google security underneath. Other honest notes: some advanced SOC teams note its global behavioural model offers less rule-level customisability/explainability than detection-engineering-focused rivals (e.g. Sublime Security); and it’s premium-priced (quote-only, per-mailbox). So the honest positioning: for AI-native, behavioural detection of the social-engineering attacks gateways miss — deployed in minutes, layered onto M365/Google — Abnormal is excellent and often the best-in-class choice; for a broad human-risk PLATFORM (email + DLP + compliance + awareness), Proofpoint; for the deepest rule-level detection engineering, Sublime; and if you’re on M365 E5 and native suffices, Microsoft. Many enterprises run Abnormal AS the behavioural layer on top of Microsoft/Google (and alongside Proofpoint’s breadth). TechBag scopes Abnormal honestly — comparing vs Proofpoint and Microsoft, and licensing and supporting it locally with GST.
The numbers behind the platform
What your Abnormal journey looks like
Scoping (& the layer vs platform)
Your mail platform (M365/Google), current email security (native? a gateway?), and needs (just email threat protection, or also DLP/compliance?). TechBag scopes it and compares honestly vs Proofpoint (platform) and Microsoft (bundled).
Connect via API (minutes)
Integrate Abnormal with Microsoft 365 or Google Workspace via API — no MX change, no mail re-routing — and let Attune learn your organisation’s normal behaviour. Protected in minutes.
Catch what native misses
Abnormal flags the behavioural anomalies — BEC, phishing, ATO, VEC — that your native/gateway security missed, and auto-remediates threats post-delivery. Close the gap.
Extend the behavioural platform
Add Account Takeover Protection, AI Security Agents (autonomous SOC), and (2026) identity threat & AI governance — one behavioural model, more coverage. TechBag supports you locally (GST).
Trusted across regulated industries in 100+ countries
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“Abnormal caught BEC and vendor-fraud attacks our gateway and Microsoft native let straight through — payload-less social engineering that signatures can’t see. That’s exactly the gap we needed closed.”
“Deployment was minutes — connect the API to M365, done, no MX change, no mail re-routing. After the project it took to deploy our old gateway, this was a revelation.”
“The behavioural AI is the real thing — it learned our normal communication and now flags the anomalies with very few false positives. Our SOC finally isn’t buried in noise.”
“We layered Abnormal on top of Microsoft 365 — kept our existing security and added the behavioural layer that closes the gap. Low risk, high value.”
“Honest: for DLP, archiving and compliance we still use Proofpoint — Abnormal is email-first, not a full platform. But for catching the behavioural attacks, it’s the best we’ve used. TechBag was clear about the split.”
“That Abnormal’s biggest R&D office is in Bengaluru gave us confidence — and TechBag scoped it, compared it honestly vs Proofpoint, and added INR/GST. Modern email security, made local.”
“VEC — vendor email compromise — is our nightmare as an exporter, and Abnormal catches it by understanding our real vendor relationships. Nothing signature-based came close.”
“Abnormal is premium and quote-priced — TechBag scoped the mailboxes, compared vs Proofpoint/Microsoft honestly, and added INR/GST and support. Best-in-class behavioural detection, made local.”
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.
TechBag Email-Security Grid
Execution strength vs product vision — the classic market map, minus the paywall.
AI-native behavioural ICES. This page's product.
Detection × Portfolio Integration
The grid nobody publishes — how strong the email detection is vs how integrated with the wider security portfolio.
Behavioural detection depth.
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.
Abnormal AI vs the email-security field
Proofpoint, Microsoft Defender O365, Mimecast, Sublime and Barracuda — honest lanes; the edge is AI-native behavioural detection + minutes-to-deploy (API). Need a broad platform (DLP/compliance)? Proofpoint (TechBag sells it). On M365 E5? Defender is bundled. We say so.
| Dimension | Abnormal AI | Proofpoint | MS Defender O365 | Mimecast | Sublime | Barracuda |
|---|---|---|---|---|---|---|
| Position | AI-native behavioural ICES | Email leader + human-risk platform | Bundled with M365 E5 | Email + resilience/archiving | Detection-engineering ICES | SMB email + backup |
| Behavioural / BEC detection | Best-in-class (Attune) | Adaptive (Tessian) + gateway | Good (native) | Good | Strong (rule-based AI) | Good |
| Deployment (speed / model) | API, minutes, no MX change | Gateway (MX) + API | Native (in M365) | Gateway | API | Gateway |
| Platform breadth (DLP/compliance/awareness) | Email-first (narrower) | Broadest (human-risk platform) | Via Purview/M365 | Some (archiving) | Email-focused | Some |
| Explainability / customisability | Global model (less rule-level) | Configurable | MS controls | Configurable | Detection-engineering (deep) | Basic |
| Autonomous AI agents (SOC) | AI Security Mailbox etc. | Growing | Copilot (M365) | Some | Some | Some |
| Best fit | AI-native behavioural layer on M365/Google | Broad human-risk platform (TechBag sells it) | Already on M365 E5, 'good-enough' | Email + resilience/archiving | Deep detection-engineering | SMB email + backup |
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 Abnormal AI if…
- ✓You want AI-native, behavioural detection that catches the BEC and social engineering gateways/native miss
- ✓You want to deploy in MINUTES via API — no MX change, no mail re-routing
- ✓You want to layer onto your Microsoft 365 / Google Workspace security (augment or replace the gateway)
- ✓You want autonomous AI security agents too (see the AI Agents page) — with TechBag adding scoping & GST
Proofpoint if…
- ✓You want a BROAD human-risk platform — email + DLP + compliance/archiving + awareness (a Wave-C sibling — TechBag sells it, see its hub)
Microsoft Defender O365 if…
- ✓You’re already on M365 E5 and native ‘good-enough’ email security suffices — TechBag has a Microsoft hub
Sublime Security if…
- ✓You want deep, rule-level detection engineering and customisability (advanced SOC teams)
Mimecast / Barracuda if…
- ✓You want email + resilience/archiving (Mimecast) or affordable SMB email + backup (Barracuda)
What do email threats cost you?
Drag the sliders (mailboxes; BEC/social-engineering attempts per month; hour cost as loaded rate). Estimates contrast signature/native email security (misses payload-less BEC, gateway deploy friction, manual response) vs Abnormal (behavioural AI catches what others miss, minutes to deploy, auto-remediation) — the wins are attacks caught, breach/fraud cost avoided, and analyst time saved. Illustrative — TechBag scopes your mailboxes.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models actual device counts and modules.
Three ways to consume it
Abnormal AI is quote-priced (per mailbox, annual; in USD) — no public list. Indicative third-party estimates: ~$20–35/mailbox/yr for Inbound Email Security base, plus a platform fee (full-module deployments push higher). Treat as indicative only. Abnormal bills USD; TechBag scopes the mailboxes and handles INR/GST — quote current figures.
Abnormal (per mailbox, by quote)
Best for behavioural detection + fast deploy
- AI-native behavioural detection (Attune) — catch what gateways miss
- API-integrated (M365/Google) — deploy in minutes, no MX change
- Augment your native security, or replace a legacy gateway
+ Platform add-ons
Best for a broader rollout
- Scoped to your estate
- Add-on modules as needed
- Phased, right-sized deployment
+ scoping & local support
Best value with TechBag
- Mailbox scoping + augment-vs-replace advice + honest Proofpoint/Microsoft comparison
- Abnormal bills USD; email-first (not a full platform); Bengaluru R&D
- TechBag adds INR/GST invoicing, DPDPA-residency help & 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 device counts 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.
Getting hit by BEC, VEC or advanced phishing your gateway misses? Abnormal catches them via behavioural AI, not signatures.
Want protection without an MX-change project? Abnormal deploys in minutes via API (M365/Google), no re-routing.
On Microsoft 365 or Google Workspace? Abnormal layers on to catch what native misses — augment or replace your gateway.
Need DLP, compliance and archiving too? Abnormal is email-first — Proofpoint is the broad platform (TechBag sells both).
Want autonomous SOC automation? Abnormal’s AI Security Agents triage reported email 24/7 (see that page).
On M365 E5? Native is ‘good-enough’ for some — Abnormal adds the behavioural layer that closes the gap. TechBag advises.
Abnormal’s biggest R&D office is in Bengaluru — genuine India relevance. TechBag scopes and supports it locally.
Abnormal is quote-priced (per mailbox, USD) — TechBag scopes the mailboxes, adds INR/GST invoicing and local support.
Questions buyers ask
Ready to catch what your gateway misses?
Scope Abnormal AI Inbound Email Security (AI-native behavioural detection that stops the BEC, phishing and VEC gateways and native defences miss — API-integrated, deploying in minutes) — and let a TechBag advisor scope the mailboxes, advise augment-vs-replace, compare honestly vs Proofpoint and Microsoft, and add INR/GST and local support.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.