Exabeam Nova
Seven agents with named jobs, not one assistant that claims everything — Exabeam Nova puts AI agents for threat scoring, investigation, rule creation and search inside the workflow analysts already use, on the New-Scale platform.
Buy through TechBag
Same software. Better outcome — at a lower cost.
How it’s rated
Full scoreboard ↓Data residency & processing — confirm before the PoC
Delivery
Cloud-native (New-Scale)
This is the cloud half of the portfolio. If your mandate rules out SaaS, LogRhythm SIEM is the self-hosted answer from the same vendor.
What to confirm
No India storage region listed
Exabeam’s documented data-residency regions are US West, US East, Singapore, Australia, Canada, Japan, Europe, Switzerland, the UK and KSA. Confirm your region in writing.
If your obligation requires data to stay in India, settle storage and processing separately with Exabeam before a proof of concept. If it rules out cloud entirely, see LogRhythm SIEM, which answers both by definition.
Quick answer
The Exabeam platform family
This page covers Exabeam Nova — the AI agent suite. The other pillars:
Quick facts
30-second orientation- Product
- Exabeam Nova — agentic AI for the SOC
- What it is
- 7 job-scoped agents, not one chatbot
- Vendor
- Exabeam (merged with LogRhythm, July 2024)
- Platforms
- New-Scale; LogRhythm via a cloud-hybrid add-on
- Runs on
- The New-Scale cloud platform
- Licensing
- Not published — quote-only
- Prerequisite
- An Exabeam platform — not standalone
- Platform meter
- GB ingested per day (2023 list)
- Best evidence
- Analyst acceptance rate on YOUR alerts
- In India via
- TechBag — trial design, GST invoicing
Understand SIEM economics before you buy it
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What is it?
Seven AI agents scoped to named SOC jobs — threat scoring, investigation, analyst assistance, rule creation, search, advisory and visualisation — on the New-Scale platform.
A general SOC chatbot vs Exabeam Nova — the honest table
What scoping AI to named SOC jobs changes about how you can evaluate it.
| Dimension | General-purpose AI assistant | Exabeam Nova |
|---|---|---|
| Assistant design | One chatbot for everything | Seven agents, each with a named job |
| Evaluation | Judged on impressions | Each agent testable against its job |
| Evidence base | Raw alerts restated | Behavioural risk scores underneath |
| Search | Query syntax to learn first | Natural-language search agent |
| Detection engineering | Rules written by hand | Rule Creator drafts, analysts review |
| Board reporting | Built manually each quarter | Advisor maps coverage to ATT&CK |
| Honest caveat | — | Productivity unproven on your queue |
| Best fit | — | Exabeam SOCs with a triage backlog |
Job-scoped agents are the edge — if Microsoft already runs your SOC, Security Copilot may be the cheaper path (TechBag sells it too).
The five pieces behind Exabeam Nova
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
The agent layer
Nova is a set of agents, each bound to one SOC task with its own inputs, outputs and success criterion, so each can be evaluated on one job.
The platform beneath
Nova has no data of its own; it reasons over what Exabeam has collected and normalised, so weak log coverage makes it confidently wrong.
The behavioural baseline
Nova’s threat scoring builds on Exabeam’s behavioural analytics, using risk signals from learned normal behaviour; thin baselines degrade it.
The context layer
Threat scoring takes business context, weighting a payments service account above a marketing laptop; untuned context is why prioritisation misfires.
The reporting surface
The Advisor agent maps detection coverage against MITRE ATT&CK, OWASP and compliance frameworks for board reporting; useful, but easy to over-trust.
Seven agents with named jobs, reasoning over the behavioural data your Exabeam platform already holds — useful only as far as that data reaches.
Twelve capabilities. Search, score, investigate.
Exabeam Nova puts agents for search, threat scoring, investigation, rule creation and reporting inside the analyst workflow, on top of the platform’s data. Here is what sits in each layer.
Natural-language search
Query users, hosts and logs from one interface without writing platform query syntax.
Source visibility
Surfaces which log sources feed detections and where the collection gaps sit.
Business context weighting
Lets you tell the scoring engine which users, assets and accounts actually matter.
Cross-platform data
Reasons over New-Scale data; LogRhythm SIEM reaches it via the cloud-hybrid LogRhythm Intelligence add-on.
Machine-learned threat scoring
Prioritises alerts against behavioural baselines rather than static severity labels.
Behavioural anomaly detection
Flags deviation from learned normal for users, hosts and service accounts.
AI-assisted rule creation
Generates, tunes and converts correlation rules to shorten detection-engineering cycles.
ATT&CK coverage mapping
Maps existing detections to ATT&CK and compliance frameworks to expose blind spots.
Alert triage
Suppresses low-value alerts so the queue reflects what warrants human review.
Automated case summarisation
Assembles the narrative, entities and timeline so analysts start from evidence, not raw logs.
Next-step guidance
Proposes the next investigative action and the likely attack vector for the analyst to confirm.
Executive reporting
Turns coverage and SOC activity into reporting a CISO can defend outside the security team.
Watch Exabeam Nova in action
The AI-driven platform Nova runs on, and the analyst workflow it joins.
The AI-Driven Exabeam Security Operations Platform
The AI platform, explained by Exabeam.
Exabeam SIEM Overview
The platform the agents work inside.
Introducing New-Scale Analytics — Analyst Workflow
The analyst workflow the agents join.
Want a live, India-context walkthrough for your environment?
Book a guided demo →Agents you can hold to a job.
Here’s what genuinely sets Nova apart (and where Security Copilot or Securonix’s agents may fit better).
Named jobs beat a general assistant
A general SOC chatbot can’t really be evaluated, but an agent scoped to a named job can be held to it: did the Investigation agent’s summary match the analyst’s conclusion, did Rule Creator output need rewriting, did the Threat Scoring agent’s top ten match your analysts’ picks? That makes Nova procurable, not a demo buy.
It rides on a behavioural engine, not a bolted-on model
Nova’s scoring sits on Exabeam’s long-standing behaviour analytics, so agents reason over a learned baseline rather than restating raw alerts. Its value tracks your Exabeam deployment’s maturity: with patchy log coverage and young baselines, the agents work on the same weak evidence your analysts do.
Self-hosted estates reach it through a hybrid
Nova runs on the cloud-native New-Scale platform; self-hosted LogRhythm SIEM customers reach it through LogRhythm Intelligence, a hybrid deployment using the New-Scale cloud. So AI on a self-hosted estate sends some data to Exabeam’s cloud, in regions none of which are in India. Get the data flows in the quote.
Budget the platform meter, not just the module
Exabeam’s 2023 Americas list prices SIEM, Analytics and Fusion as one-year subscriptions by GB ingested per day, but Exabeam does not publish how Nova is licensed. Model platform tier plus Nova as quoted plus expected ingest growth, and filter noisy sources before they reach the meter.
The honest caveat about AI claims
Every SIEM vendor’s AI agents demo beautifully on curated data. Test on your own noisy production alerts and measure whether analysts accept the agents’ conclusions or quietly redo the work — usage metrics still count a redone summary as consumed. If the redo rate stays high after a fair trial, walk away or renegotiate.
The honest positioning
Nova is strongest for existing Exabeam customers; it needs the platform, decent log coverage and tuned context. If you’re not one, choose the SIEM first, then judge Nova as an add-on. Microsoft estates may find Security Copilot cheaper, and Nova reaches LogRhythm SIEM only through a cloud-hybrid add-on.
The numbers behind the platform
What your Exabeam Nova rollout looks like
Establish the platform baseline
First audit log source coverage and baseline maturity; agents reasoning over incomplete data give fluent, confident, wrong answers.
Load real business context
Mark crown-jewel systems, privileged accounts and regulated data so scoring weights them; skipping this breaks prioritisation.
Trial against your own noisy queue
Run agents on real alerts for at least a month and log every conclusion analysts accepted or redid; that ratio is your evidence.
Decide on measured evidence
If acceptance is high, embed the agents and define what may run unconfirmed; if redo rates stay high, renegotiate or decline.
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“Case summaries changed how tier-one starts a shift: a narrative instead of raw events, taking real minutes off every ticket.”
“Threat scoring was mediocre until we spent a fortnight loading business context. Nobody warned us it was a prerequisite.”
“After two quarters our seniors still rebuild timelines themselves. It mostly helps juniors, and the promised productivity hasn’t come.”
“Natural-language search removed a real barrier. Our newer analysts were blocked on query syntax and are now productive in weeks rather than months.”
“Advisor reporting got the renewal approved: a coverage map against ATT&CK let us finally have the board conversation.”
“Rule Creator output always needs review before going live: a competent first draft, not a final answer, but it saves time.”
“We self-host for regulatory reasons, and not every demonstrated capability was available on day one. Confirm parity before signing.”
“Advisor’s coverage map showed three sources we were paying to ingest that fed no detection at all. Cutting them paid for part of Nova.”
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 SIEM and security-analytics market — tap any vendor to see why it sits where it does.
TechBag SIEM Grid
Execution strength vs product vision across the SIEM field — TechBag's synthesis, not Gartner's graphic.
2025 MQ Leader, sixth time — with a real self-hosted answer.
Detection Depth × Cost of Entry
Behavioural and detection depth against how cheaply you can start — the trade every SIEM shortlist makes.
Behavioural depth; tiered by daily ingest like most of the field.
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.
Exabeam Nova vs the field
The AI-SOC field — honest lanes. Every SIEM vendor now ships agents; Nova’s edge is job scoping over a behavioural substrate. Judge all of them on your own queue — we sell several.
| Dimension | Exabeam | Securonix | Splunk Enterprise Security | Microsoft Sentinel | Elastic Security |
|---|---|---|---|---|---|
| Position | UEBA-led SecOps, cloud AND self-hosted | The other UEBA-led vendor | The reference SIEM | SIEM for Microsoft estates | Search-engine-native SIEM |
| Pricing axis | GB ingested per day, tiered | GB/day, hybrid commitment + PAYG | Ingest or workload — historically costly | Per GB ingested per day | Subscription tier + resources |
| Behavioural analytics | The founding capability | The founding capability | Available, an add-on heritage | UEBA included | Entity risk scoring |
| Self-hosted option | LogRhythm SIEM — genuinely on-prem | Cloud-native only | Cloud, on-prem or hybrid | SaaS only, on Azure | Self-managed, even air-gapped |
| Analyst standing (SIEM MQ 2025) | Leader — sixth time | Leader, six times running | Leader | Leader | Visionary, not Leader |
| Augments a SIEM you own | New-Scale Analytics, licensed separately | UEBA available | Buy the platform | Buy the platform | Buy the platform |
| AI in the SOC | Nova — seven agents, named jobs | Sam, the AI SOC analyst | Cisco AI Assistant | Security Copilot + MCP | Elastic AI Assistant |
| Talent pool | Smaller than the incumbents | Smaller than the incumbents | SPL — the largest by far | KQL — widely known | Large for the engine, smaller for security |
| The thing to plan around | Two platforms post-merger — ask the roadmap | Cloud-only; model the GB/day | Cisco integration reshaping roadmap | Azure portal retires 31 Mar 2027 | You operate it unless you buy Cloud |
| Best fit | UEBA-led detection — cloud or on-prem | UEBA-led with Leader standing | Engineers who will build with it | Microsoft-standardised estates | Air-gapped, or existing ELK |
Does Exabeam Nova fit you?
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Choose Exabeam if…
- ✓You want behavioural detection at the core of the SIEM, from a 2025 Gartner MQ Leader
- ✓You need behavioural analytics rather than more rules, and you want the vendor that built on it
- ✓Your mandate rules out cloud — LogRhythm SIEM is a genuine self-hosted platform, not a retrofit
- ✓You want to add analytics to a SIEM you already own rather than replace it
Choose Securonix if…
- ✓You want the other UEBA-led vendor, with six consecutive Gartner MQ Leader placements — and cloud-native suits you
Choose Splunk if…
- ✓You have engineers who will build with it, and you want the deepest content and the largest talent pool (TechBag sells it)
Choose Microsoft Sentinel if…
- ✓You are standardised on Microsoft 365 and Defender — Sentinel sits closest to that data, and TechBag sells it
Choose Elastic Security if…
- ✓You need air-gapped deployment, or your engineers already run Elasticsearch
Exabeam Nova is one of 36 SIEM & log management products TechBag carries. The SIEM & Log Management guide narrows them to a shortlist and shows the reasoning. →
What is an accepted conclusion worth?
Nova’s value is the analyst time it returns — and only conclusions your analysts accept without redoing count. Set your daily triage volume and the acceptance rate you measure in the trial. The minutes saved per accepted conclusion and the hourly cost are our assumptions, not Exabeam figures; replace them with your own.
If acceptance stays low after you have loaded business context and tuned the scoring, this number is what you are not getting — and a reason to renegotiate or decline. Compare it with the Nova line in your quote, not with a vendor productivity claim.
Three ways to consume it
Quote-only; Exabeam does not publish how Nova is licensed, so get it itemised. Be sceptical in the useful way here: every SIEM vendor in the market is shipping agents right now and all of them demonstrate well on curated data. The structure is a good sign — agents scoped to named jobs can be evaluated against those jobs, where a general assistant can only be judged on impressions. But the only evidence that counts is what happens to your alert queue. TechBag structures the trial so that is what gets measured, and quotes in INR with GST.
Nova, on New-Scale
Best for cloud estates
- Seven agents across triage, investigation and search
- Inside the workflow analysts already use
- Quote-only — ask how it is itemised
Via LogRhythm Intelligence
For self-hosted estates
- LogRhythm SIEM reaches Nova through this add-on
- It uses Exabeam's cloud — data leaves your perimeter
- Confirm which agents you get, in writing
Evaluation
Best before you commit
- Every SIEM vendor demos AI well on curated data
- Measure whether analysts accept the conclusions
- TechBag structures the trial to test this
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 AI-SOC vendor
Take this into your next vendor call — including ours.
During the trial, what percentage of agent conclusions did analysts accept WITHOUT redoing the work themselves?
Did we test on our own noisy production alerts, or only on the vendor's curated demo data?
Can we name one measurable outcome that changed — queue depth, time to close, escalation rate — rather than an impression?
Which specific agents are available on OUR deployment model, and is that written into the quote?
Which log sources are missing, and will the agents be reasoning over those gaps?
Have we loaded real business context before judging the scoring, or are we evaluating an untuned system?
What is the three-year cost of platform plus Nova at our projected daily-ingest growth?
Which agent conclusions may be acted on without human confirmation, and who signed off on that boundary?
Questions buyers ask
Ready to evaluate Exabeam Nova?
Design a trial that can say no, check agent availability for your platform, or compare Nova with Security Copilot — in INR/GST.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.