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AI Security Agents
Secure the front door. Email is where most attacks arrive — Abnormal AI’s AI Security Agents are autonomous AI agents that do first-line SOC work — the AI Security Mailbox triages reported email 24/7, auto-remediates org-wide & closes the loop conversationally (~5,000 SOC hours saved/yr, Abnormal’s claim). Honest: a new, evolving category — validate for your environment.
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The Abnormal AI platform family
This page covers Abnormal AI Security Agents — autonomous SOC AI. The rest of the Abnormal platform:
Quick facts
30-second orientation- Product
- AI Security Agents — autonomous SOC AI
- Vendor
- Abnormal AI (rebranded Apr 2025 · San Francisco)
- The category
- Autonomous AI security agents (SOC)
- What it does
- Triage, remediate & coach — autonomously, 24/7
- Headline agent
- AI Security Mailbox — an autonomous AI co-worker
- The claim
- ~5,000 SOC-analyst hours saved/yr (Forrester TEI)
- Also
- AI Phishing Coach + AI Data Analyst
- The engine
- Built on Attune (human-behaviour AI)
- Vs
- Cofense, MS Copilot, Proofpoint, Sublime, KnowBe4
- In India via
- TechBag — scoping, licensing, local support, GST
Understand autonomous AI security agents before you buy them
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What are Abnormal’s AI Security Agents?
Autonomous AI agents that do first-line SOC work — triage, remediation & coaching, 24/7. The headline: the AI Security Mailbox, an autonomous co-worker that triages reported email, auto-remediates org-wide & closes the loop.
Manual first-line SOC (& assistants) vs Abnormal’s autonomous agents — the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | Unprotected / signature email | AI Security Agents (Abnormal AI) |
|---|---|---|
| The AI | Assistant (suggests, waits) | Agent (does the work) |
| Reported-email triage | Manual, in a queue | Autonomous, 24/7 |
| Remediation | One inbox at a time | Auto, org-wide |
| Reporter feedback | Silence for days | Instant, conversational |
| Coverage of volume | Can’t staff it | AI absorbs the load |
| Training | Annual, one-size | Just-in-time, risk-adaptive |
| Querying the data | Write a query | Ask in plain English |
| Best fit | (varies) | Autonomous first-line SOC automation |
Abnormal AI’s AI Security Agents are autonomous AI agents that do first-line SOC work — the AI Security Mailbox triages user-reported email 24/7, auto-remediates malicious campaigns org-wide, and closes the loop with each reporter conversationally (~5,000 SOC hours saved/yr, per Abnormal’s Forrester TEI), plus an AI Phishing Coach and AI Data Analyst, all on the Attune behavioural engine. Honest: agentic AI is new and evolving — validate results for your environment and set guardrails; the figures are Abnormal’s own claims. 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.
From Assistants to Agents
The core idea: move from AI ASSISTANTS (that suggest, then wait for a human) to autonomous AI AGENTS (that actually do the work — triage, investigate, remediate, coach). Abnormal’s 2025–2026 bet is that first-line SOC toil should be done BY AI, not by burned-out analysts. Don’t assist the human. Do the work.
AI Security Mailbox (Triage 24/7)
The flagship agent: an autonomous ‘AI co-worker’ that handles user-reported emails around the clock — classifying each report (malicious, spam, safe, or phishing-simulation), so the mountain of user reports is triaged instantly, at 3am as easily as noon. First-line triage, done by AI. No analyst required.
Auto-Remediate the Campaign
When a report is malicious, the agent AUTO-REMEDIATES org-wide — finding and pulling the same campaign from every inbox it landed in, not just the one that was reported. It acts, not just alerts. One report, whole-org cleanup. Catch it once, clear it everywhere.
Close the Loop (Conversational)
The agent closes the loop with EACH reporter via conversational GenAI — a human-sounding reply (configurable name and tone) that thanks them and tells them the verdict — so employees get an instant answer instead of silence, and stay engaged in reporting. Every reporter, answered. Reporting that feels rewarding.
Coach & Analyse (The Rest)
Beyond triage: the AI Phishing Coach delivers just-in-time, risk-adaptive TRAINING (coaching the specific people who need it, when they need it), and the AI Data Analyst answers security questions in PLAIN ENGLISH (no query language). Triage, automate, coach — the agentic suite. Autonomy across the SOC.
One agent on every machine, one console over all of them — modules attach without a second operational world.
Twelve capabilities. Triage, automate, coach.
Abnormal’s agents autonomously do first-line SOC work — triage, remediate, coach, 24/7 — the 2025–2026 headline of portfolio, and paired with the human firewall.
AI Security Mailbox — Autonomous Triage
An autonomous AI co-worker that triages user-reported emails 24/7 — classifying each as malicious, spam, safe or phishing-simulation — so the flood of user reports is handled instantly, day or night, with no analyst in the loop. First-line triage, done by AI. Around the clock.
Classify Every Report
Every user-reported email is classified — malicious, spam, safe, or an internal phishing-simulation — so nothing sits in a shared mailbox waiting for a human to look. Sort the flood, instantly. Every report, verdicted.
Handle Volume Humans Can’t
The reason agents matter: alert and report volume has outgrown what any SOC can staff. Autonomous AI absorbs the first-line load — triaging at a scale and speed humans can’t match — so analysts focus on what needs judgment. Scale past human limits. Absorb the flood.
Surface What Needs a Human
By handling the routine first-line work autonomously, the agents surface only the cases that genuinely need human judgment — so scarce analyst attention goes to the real threats, not the noise. Let AI clear the routine. Humans on the hard calls.
Auto-Remediate Org-Wide
When a report is malicious, the agent doesn’t just alert — it acts: finding and pulling the same campaign from EVERY inbox it landed in, org-wide, automatically. It acts, not just flags. One report, whole-org cleanup.
Close the Loop with Every Reporter
The agent replies to each reporter via conversational GenAI — a human-sounding message (configurable name and tone) that thanks them and gives the verdict — so employees get an instant answer instead of silence, and keep reporting. Every reporter, answered. Keep them engaged.
Configurable AI Persona
Give the AI co-worker a name and a tone that fit your organisation’s voice — so the automated replies feel like a real, on-brand team member, not a robotic auto-responder. Your voice, at machine scale. On-brand automation.
~5,000 SOC Hours Saved / Year
Abnormal cites a Forrester Total Economic Impact study crediting roughly 5,000 analyst hours saved per year from automating this first-line triage and remediation. (Honest: Abnormal’s own cited figure — validate for your environment.) Give the SOC its time back. The headline claim.
AI Phishing Coach — Just-in-Time Training
Deliver just-in-time, risk-adaptive user training — coaching the specific people who need it, at the moment they need it (e.g. right after a risky interaction) — rather than one-size-fits-all annual modules. Coach in the moment. The right person, the right time.
Risk-Adaptive Coaching
Because coaching is adaptive to each person’s risk, the training focuses effort where it matters — more for the higher-risk users, less noise for everyone else — so awareness improves without training fatigue. Focus the coaching. Less fatigue, more effect.
AI Data Analyst — Ask in Plain English
Answer security questions in plain English — ‘how many BEC attempts targeted finance last month?’ — so anyone can query the data without writing a query or knowing a schema. Ask, don’t query. The data, in plain English.
Built on the Behavioural Engine (Attune)
The agents run on Attune — the same human-behaviour AI that powers Abnormal’s email security — so their decisions draw on a deep, per-organisation understanding of normal behaviour, not generic rules. One behavioural engine, an agentic suite. Autonomy, grounded in behaviour.
Watch Abnormal AI in action
The overview, getting started, and protecting M365 email.
AI Security Mailbox — Product Demo
The autonomous triage co-worker, walked through.
An Abnormal Approach to Email Security
The behavioural approach the agents build on.
How Abnormal Builds a Behavioural Baseline
The Attune engine that grounds the agents.
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’s agents apart (and where it’s a new, evolving category).
Autonomous AGENTS, not assistants — AI that does the first-line SOC work
The single biggest reason organisations look at Abnormal’s AI Security Agents is the shift they represent: from AI ASSISTANTS (that suggest a next step and wait for a human to act) to autonomous AI AGENTS (that actually DO the work — triage, investigate, remediate, coach). The problem it solves: security-operations teams are drowning. Alert and user-report volume has outgrown what any SOC can staff, and first-line triage — looking at every user-reported email, deciding if it’s malicious, and cleaning up — is repetitive, high-volume toil that burns out analysts and still can’t keep pace. Adding an AI that merely suggests doesn’t fix the volume problem; a human still has to act on every suggestion. What Abnormal provides: autonomous agents that take the action. The AI Security Mailbox triages user-reported emails 24/7, classifies them, AUTO-REMEDIATES malicious campaigns org-wide, and closes the loop with each reporter — all without a human in the first-line loop. It handles the volume humans can’t, and surfaces only what needs judgment. Why it matters: this is the difference between AI that helps you keep up and AI that actually absorbs the load. Autonomous first-line triage and remediation gives a lean SOC its time back (Abnormal cites ~5,000 analyst hours saved per year, per a Forrester TEI study) and means routine work is handled instantly, 24/7, at a scale no team could staff. Honest note: agentic AI is new and evolving — validate results for your environment and set the right guardrails. The value: Abnormal’s agents autonomously DO first-line SOC work — triage, remediate, coach — rather than just assisting, so they absorb alert volume humans can’t. For a SOC that can’t staff the load, this matters. TechBag helps organisations deploy Abnormal’s AI agents. TechBag helps you automate the first line.
The AI Security Mailbox — triage 24/7, remediate org-wide, close the loop
The defining agent is the AI Security Mailbox — an autonomous ‘AI co-worker’ that owns the whole user-reported-email workflow end to end, and it’s the clearest proof of the agentic approach. The problem it solves: employee-reported phishing is one of the best signals a SOC has — but it creates a flood. Every reported email lands in a shared mailbox and needs someone to judge it (real threat? spam? safe? a phishing test?), remediate if it’s bad, and ideally reply to the reporter so they stay engaged. At scale, that’s thousands of reports, most benign, all needing attention — and reporters often hear nothing back for days, so they stop reporting. What Abnormal provides: the Mailbox agent does all of it autonomously. It CLASSIFIES each report (malicious / spam / safe / phishing-simulation), AUTO-REMEDIATES malicious campaigns org-wide (pulling the same mail from every inbox it reached, not just the reported one), and CLOSES THE LOOP with each reporter via conversational GenAI — a human-sounding reply with a configurable name and tone — so every reporter gets an instant, on-brand answer. Why it matters: this turns a bottleneck into an instant, 24/7 pipeline — triage happens at machine speed, remediation is whole-org (not one inbox), and reporters stay engaged because they always get a fast answer, which improves the reporting signal over time. It’s the single highest-toil SOC workflow, automated end to end. The value: the AI Security Mailbox triages user reports 24/7, auto-remediates malicious campaigns org-wide, and answers every reporter conversationally — the whole workflow, autonomous. For draining the shared-mailbox bottleneck, this matters. TechBag helps organisations deploy the Mailbox agent. TechBag helps you automate reported-phishing triage.
~5,000 SOC-analyst hours saved a year — the value of automating the first line
A concrete strength of the AI Security Agents is the scale of the time they give back: Abnormal cites a Forrester Total Economic Impact (TEI) study crediting roughly 5,000 SOC-analyst HOURS saved per year from automating first-line triage and remediation. The problem it solves: analyst time is the scarcest, most expensive resource in security, and far too much of it goes to repetitive first-line work — reading reported emails, judging them, cleaning up campaigns, answering reporters. That toil doesn’t just cost hours; it causes burnout and turnover, and it crowds out the higher-value investigation and threat-hunting that actually needs human judgment. What Abnormal provides: by having the agents do that first-line work autonomously (triage, org-wide remediation, closing the loop), the human hours previously spent on it are freed — the ~5,000-hours-a-year figure is Abnormal’s quantification of exactly that, per Forrester’s TEI method. Those reclaimed hours go to the work only humans can do. Why it matters: for a lean SOC, hours saved translate directly into capacity, resilience and cost — fewer analysts buried in triage, more time on real threats, less burnout-driven turnover. It reframes AI agents not as a nice-to-have but as a staffing-and-cost lever. Honest note: this is Abnormal’s own cited figure from a commissioned study — treat it as indicative and validate the savings for your own volumes and environment. The value: Abnormal cites ~5,000 SOC-analyst hours saved per year (Forrester TEI) from automating first-line triage and remediation — real, quantified capacity given back. For a lean, overloaded SOC, this matters. TechBag helps organisations put those hours to better use. TechBag helps you give the SOC its time back.
A suite — triage, automate AND coach, all on one behavioural engine
A distinctive strength is that this isn’t one agent but a SUITE spanning the SOC — triage, automation and coaching — all built on Abnormal’s behavioural engine (Attune), the same human-behaviour AI that powers its email security. The three layers: (1) TRIAGE — the AI Security Mailbox classifies user-reported email 24/7 and surfaces only what needs a human. (2) AUTOMATE — it auto-remediates malicious campaigns org-wide and closes the loop with reporters conversationally, and quantifies the time given back (~5,000 hrs/yr). (3) COACH — the AI Phishing Coach delivers just-in-time, risk-adaptive training (the right person, the right moment), and the AI Data Analyst answers security questions in plain English so anyone can query the data. Why one engine matters: because the agents run on Attune, their decisions draw on a deep, per-organisation understanding of normal behaviour — not generic rules — so triage, remediation and coaching are all grounded in the same behavioural context. It’s a coherent agentic layer, not a bag of point features. Why it matters: automating across the first line — triage AND remediation AND targeted coaching — addresses the SOC workload holistically, and doing it on one behavioural engine keeps the agents consistent and context-aware. It’s the difference between a demo and an operating layer. The value: the AI Security Agents are a suite — triage, automate and coach — all on Abnormal’s behavioural engine, so first-line SOC work is automated coherently and in context. For an agentic layer, not a point tool, this matters. TechBag helps organisations adopt the suite. TechBag helps you automate across the first line.
Ahead on autonomous email/SOC AI — and TechBag adds local India support
Abnormal AI is ahead of most peers on genuinely AUTONOMOUS email/SOC AI — and for Indian enterprises TechBag adds the local scoping, licensing and INR/GST support that make adopting it straightforward. The positioning: much of the industry is shipping AI ASSISTANTS — copilots that suggest and wait. Abnormal’s bet on autonomous AGENTS that actually do first-line triage, remediation and coaching 24/7 puts it ahead of most peers on autonomous email/SOC automation (Microsoft’s Security Copilot is the closest native-AI-SOC direction; Cofense is strong specifically on phishing-report triage; Proofpoint and KnowBe4 bring awareness/remediation and training respectively). Abnormal the company: rebranded from ‘Abnormal Security’ to ‘Abnormal AI’ in April 2025 to reflect this AI-native, agentic direction; founded 2018 (San Francisco), last valued at $5.1B (2024 round), ~$200M ARR, 3,000+ customers — a fast-scaling modern leader making autonomous AI its 2025–2026 headline. India relevance: reported-phishing triage, remediation and awareness are universal SOC needs, and Abnormal’s BENGALURU office is its biggest R&D/engineering centre outside San Francisco — much of the engineering runs from India, a genuine credibility point. Where TechBag adds value: the agents are quote-priced (in USD) — so TechBag adds local scoping, honest comparison (vs Cofense, Microsoft, Proofpoint, KnowBe4), INR/GST invoicing, onboarding and local support, and helps set the right guardrails for autonomous remediation. The value: Abnormal is ahead on autonomous email/SOC AI, 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’s AI agents, made local for India.
The honest scope
Abnormal AI’s AI Security Agents are its 2025–2026 headline — autonomous AI agents that automate first-line SOC work (triage, remediation, coaching) on its behavioural engine (Attune), led by the AI Security Mailbox (which triages user-reported email 24/7, auto-remediates org-wide, and closes the loop conversationally) and rounded out by an AI Phishing Coach and an AI Data Analyst. From Abnormal AI (rebranded April 2025; founded 2018; ~$200M ARR; 3,000+ customers). The honest framing — the strengths, and the caveats of a NEW, evolving category: the strengths are real — genuinely autonomous agents (not just assistants) that do first-line triage and remediation, an end-to-end reported-email workflow (the Mailbox), a quantified time-saving claim (~5,000 hrs/yr, per Forrester TEI), and a coherent suite on one behavioural engine — and on autonomous email/SOC AI Abnormal is ahead of most peers. But honest caveats matter: (1) Agentic AI is NEW and evolving. This is an emerging category, and autonomous action (especially auto-remediation) warrants the right guardrails, tuning and human oversight — validate that the agents behave correctly for YOUR environment before you lean on them. (2) The figures are Abnormal’s own claims. The ~5,000-hours and other numbers come from Abnormal (the TEI is a commissioned Forrester study) — treat them as indicative and confirm the value for your volumes. (3) It’s complementary to specialists. Cofense is strong specifically on phishing-report triage; Microsoft Security Copilot is the native AI-SOC direction if you’re heavily Microsoft; Proofpoint (a sibling) brings broad awareness/remediation; KnowBe4 leads on security-awareness training — depending on your priorities, one of those may fit a specific need better, and the agents are strongest where they pair with Abnormal’s behavioural email security. So the honest positioning: for genuinely autonomous first-line SOC automation — reported-email triage, org-wide remediation and just-in-time coaching, ahead of most peers — Abnormal’s AI Security Agents are a leading, forward-looking choice; but it’s a new category, so validate results and set guardrails, and treat Abnormal’s figures as its own claims. TechBag scopes the agents honestly — comparing vs Cofense, Microsoft and Proofpoint, setting sensible guardrails, and licensing and supporting them locally with GST.
The numbers behind the platform
What your Abnormal AI Security Agents journey looks like
Scoping (& the guardrails)
Your SOC workload (reported-email volume, current triage process), your email security (Abnormal or not), and your appetite for autonomous action. TechBag scopes it, compares honestly vs Cofense and Microsoft, and helps set sensible remediation guardrails — it’s a new category.
Deploy the AI Security Mailbox
Stand up the autonomous AI co-worker on your reported-email workflow — give it a name and tone — and let it start triaging reports 24/7 (classify, auto-remediate org-wide, close the loop conversationally). First-line triage, off your SOC.
Validate & tune the autonomy
Watch the agent’s decisions on your real volumes, tune the auto-remediation guardrails, and validate the time-saved for your environment (Abnormal cites ~5,000 hrs/yr). Trust, then scale the autonomy. Verify for your world.
Extend the agentic suite
Add the AI Phishing Coach (just-in-time, risk-adaptive training) and AI Data Analyst (plain-English queries) — and pair with Abnormal’s behavioural email security. One engine, more automation. 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“The AI Security Mailbox took the reported-phishing flood off our SOC entirely — it triages every report 24/7 and auto-remediates the campaign across every inbox. It’s a co-worker that never sleeps. That’s exactly the toil we needed gone.”
“What sold us is that it ACTS, not just alerts — one malicious report and it pulls the same mail from every inbox org-wide, automatically. Autonomous, not an assistant that waits for us.”
“Reporters used to hear nothing for days. Now the agent replies to each of them conversationally, in our own voice — so people keep reporting. The signal got better, not just the triage.”
“The ~5,000-hours-a-year figure is Abnormal’s own claim, so we validated it on our volumes — and the time given back was real for us. TechBag was upfront that it’s an emerging category and helped us set guardrails.”
“Honest: agentic AI is new, and we tuned the auto-remediation carefully before trusting it fully. But once tuned, it does genuine first-line work our analysts used to grind through. TechBag set expectations well.”
“That Abnormal’s biggest R&D office is in Bengaluru gave us confidence — and TechBag scoped the agents, compared vs Cofense and Microsoft honestly, and added INR/GST. Autonomous SOC AI, made local.”
“The Phishing Coach coaches the specific people who slip up, right when it happens — far better than annual modules everyone ignores. Awareness actually moved.”
“The agents are quote-priced in USD — TechBag scoped it, compared vs Cofense/Microsoft/Proofpoint honestly, added INR/GST, and helped us set remediation guardrails. Forward-looking SOC automation, 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 AI-SOC / autonomous-agents 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.
Autonomous AI SOC agents. 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.
Autonomous first-line automation 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 AI-SOC / awareness field
Cofense, Microsoft (Copilot), Proofpoint, Sublime and KnowBe4 — honest lanes; the edge is genuinely AUTONOMOUS first-line SOC automation (triage, remediate, coach), ahead of most peers. Want a report-triage specialist? Cofense. Native AI-SOC? Microsoft. New category — validate results. We say so.
| Dimension | Abnormal AI | Cofense | Microsoft (Copilot) | Proofpoint | Sublime | KnowBe4 |
|---|---|---|---|---|---|---|
| Position | Autonomous AI SOC agents | Phishing-report triage specialist | Native AI-SOC (Copilot) | Awareness + human-risk platform | Detection-engineering ICES | Security-awareness leader |
| Autonomous first-line triage | AI Security Mailbox (24/7) | Strong (report triage) | Copilot-assisted | Some | Rule-based | Not the focus |
| Auto-remediation (org-wide) | Autonomous, whole-org | Yes (playbook) | Via Defender/automation | Yes | Yes (rules) | N/A |
| Close-the-loop w/ reporters (GenAI) | Conversational, on-brand | Templated feedback | Some | Some | Limited | Via training |
| Just-in-time coaching / awareness | AI Phishing Coach | Some | Via Viva/M365 | Strong (awareness) | Not the focus | Best-in-class training |
| Autonomy maturity (new category) | Ahead of peers (validate) | Focused, proven | Native, evolving | Evolving | Rule-driven | Training-led |
| Best fit | Autonomous first-line SOC automation (with Abnormal email) | Dedicated phishing-report triage | Heavily Microsoft, native AI-SOC | Broad awareness + human-risk platform (TechBag sells it) | Deep detection-engineering | Security-awareness training |
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 genuinely AUTONOMOUS agents — first-line SOC triage, org-wide remediation and coaching done BY AI, 24/7
- ✓You want the AI Security Mailbox to own reported-email triage end to end (classify, remediate, close the loop conversationally)
- ✓You want to give a lean SOC its time back (~5,000 hrs/yr, per Abnormal’s Forrester TEI — validate for your environment)
- ✓You already run (or want) Abnormal’s behavioural email security — the agents build on the same engine — with TechBag adding scoping, guardrails & GST
Cofense if…
- ✓You want a dedicated, proven phishing-report TRIAGE specialist (strong specifically on user-reported-email triage)
Microsoft Security Copilot if…
- ✓You’re heavily Microsoft and want the NATIVE AI-SOC direction across the Microsoft security stack — TechBag has a Microsoft hub
Proofpoint / KnowBe4 if…
- ✓You want broad awareness + human-risk (Proofpoint — TechBag sells it) or best-in-class security-awareness training (KnowBe4)
Sublime Security if…
- ✓You want deep, rule-level detection engineering rather than autonomous agents (advanced SOC teams)
What do email threats cost you?
Drag the sliders (reported emails per month; analyst minutes per report; hour cost as loaded rate). Estimates contrast manual first-line SOC / AI assistants (analysts triage every report, remediate one inbox at a time, reporters wait) vs Abnormal’s agents (autonomous 24/7 triage, org-wide auto-remediation, instant conversational close-the-loop) — the wins are analyst hours saved, faster remediation, and better reporting engagement. Illustrative — the ~5,000 hrs/yr is Abnormal’s own Forrester TEI claim; TechBag scopes your SOC.
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’s AI Security Agents are quote-priced (in USD) — no public list — typically licensed alongside Abnormal’s behavioural email security (the AI Security Mailbox builds on it). Treat any third-party estimate as indicative only. Abnormal bills USD; TechBag scopes the SOC workload and handles INR/GST — quote current figures.
AI Security Agents (by quote)
Best for autonomous first-line SOC automation
- AI Security Mailbox — autonomous triage 24/7, org-wide auto-remediation, conversational close-the-loop
- AI Phishing Coach (just-in-time training) + AI Data Analyst (plain-English queries)
- Built on Attune — ~5,000 SOC hrs/yr saved (Abnormal’s Forrester TEI claim; validate)
+ Platform add-ons
Best for a broader rollout
- Scoped to your estate
- Add-on modules as needed
- Phased, right-sized deployment
+ scoping, guardrails & local support
Best value with TechBag
- SOC-workload scoping + auto-remediation guardrails + honest Cofense/Microsoft/Proofpoint comparison
- Abnormal bills USD; agentic AI is a new category (validate results); 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.
Is reported-phishing triage burying your SOC? The AI Security Mailbox triages it 24/7 — classify, auto-remediate org-wide, close the loop.
Want AI that DOES the work, not just suggests? Abnormal’s agents act autonomously — first-line triage and remediation, not a copilot that waits.
Need to give a lean SOC its time back? Abnormal cites ~5,000 hrs/yr saved (Forrester TEI) — validate it for your volumes.
Do reporters hear nothing back? The agent answers each one conversationally (configurable name/tone) so they keep reporting.
Annual training ignored? The AI Phishing Coach coaches the right people at the right moment, risk-adaptively.
Agentic AI is new. Validate results for your environment and set the right auto-remediation guardrails — TechBag helps.
Abnormal’s biggest R&D office is in Bengaluru — genuine India relevance. TechBag scopes and supports the agents locally.
The agents are quote-priced (USD) — TechBag scopes it, compares vs Cofense/Microsoft, adds INR/GST invoicing and local support.
Questions buyers ask
Ready to automate first-line SOC work?
Scope Abnormal AI’s AI Security Agents (autonomous AI that triages reported email 24/7, auto-remediates org-wide and closes the loop — ~5,000 SOC hours saved/yr, Abnormal’s claim) — and let a TechBag advisor scope your SOC workload, set sensible auto-remediation guardrails, compare honestly vs Cofense 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.