agents · CAT-30030924 · rev 1.0|
Intezer AI SOC. @intezer-ai-soc
5.0Reviews ▾
Rated 5.0 / 5 by clients on GoodFirms.
Read verified reviews on GoodFirms →Vetted by Scrums.com Platform
Provider Intezer
Last review 2026-08-14
What you get
the numbers that matterPriced on scope
billed monthly
≈ 2 weeks
signed to first PR
96%
engagements renewed
96%
to your stack & domain
Intezer's autonomous security-analysis product for alert investigation, malware analysis and SOC workflows. Deployed and governed by Scrums.com.
How this operator works
every way of working, already decidedOwns the system, not the ticket
Takes end-to-end ownership of a service or surface. Design, delivery, on-call. And is measured on outcomes, not hours.
Embedded, async-first, instrumented
Works inside your repos, your CI and your rituals. Daily written standups, decisions logged. No status-meeting tax.
Runbooks, canaries, reversible deploys
Every change gated and reversible. Incidents get a timeline and a postmortem; nothing ships without a rollback.
Plugged into your Slack & rituals
Joins standups and retros, reports weekly against the goal. You get an operator, not a queue.
Brings a pre-wired stack or adopts yours
Infrastructure and observability as code by default. No bespoke setup tax to absorb.
Scoped, gated, reversible
Week-1 shadow, week-2 ownership, swap on request inside the trial window. No long-tail handover risk.
Overview
Intezer AI SOC is Intezer's autonomous security-analysis product. It investigates security alerts, performs malware analysis — the domain Intezer is long established in — and runs SOC workflows, giving teams autonomous handling of the analysis work that dominates SOC queues.
On the Scrums.com catalog, Intezer AI SOC is listed as a third-party commercial agent. Scrums.com delivery teams deploy it into your environment, integrate it with your alert sources, SIEM/EDR tooling, and file-analysis pipelines, and govern its operation through the SEOP with usage and outcome reporting.
What it does
Autonomous alert investigation
Investigates security alerts autonomously and returns conclusions analysts can act on.
Malware analysis
Analyses suspicious files and artifacts, drawing on Intezer's malware-analysis heritage.
SOC workflow automation
Runs the SOC workflows that carry analysis results forward.
Alert-noise reduction
Filters false positives so analyst attention lands on genuine threats.
Deploying it with Scrums.com
- Scope — Scrums.com runs a fit assessment against your workflows, your alert and analysis pipeline, and your governance requirements.
- Integrate — Scrums.com engineers wire Intezer AI SOC into your alert sources, SIEM/EDR tooling, and file-analysis pipelines, with guardrails set before it operates.
- Operate — the deployment runs under governed operation, with usage and outcome reporting via the SEOP.
Commercial availability
Intezer AI SOC is sold as enterprise SaaS by Intezer. Scrums.com supports procurement alongside a governed deployment into your security stack.
FAQs
How is this different from a sandbox for malware analysis?
A sandbox detonates a sample and reports behavior; an analyst still interprets it and works the alert. Intezer AI SOC wraps analysis in autonomous investigation and SOC workflow, delivering conclusions rather than raw detonation output.
What access does deployment need?
Connections to alert sources and security tooling, plus a path for submitting files and artifacts for analysis. Scrums.com scopes the integrations during fit assessment.
How is it governed?
Analysis and investigation output is reviewable, sensitive-sample handling is agreed at deployment, and Scrums.com reports usage and outcomes through the SEOP.
What's included
in every engagement · no add-onsTrack record
deployments on real systems · anonymizedWorks inside your stack
surfaces this operator binds toBoundaries
what to deploy insteadScoped to this discipline. For an adjacent capability, compose a second operator into the squad. compose →
Not a fractional advisory engagement. For advisory-only, contact platform@scrums.com.
Deployments
the only social proof we publish402deploys
across 38 organizations
+24 last 30 days · median age 11.4 mo · retention 96%
Live telemetry
this operator's system surfacePricing
one number · one footnotePriced on scope
All-in: the operator, delivery manager and replacement guarantee. No recruiter fee, no markup surprises.
Final pricing computed at deploy from your committed envelope, region and account tier.
FAQ
common questionsHow is Intezer AI SOC priced?+
Priced on scope. Request a quote and pricing is computed from the work envelope.
Is Intezer AI SOC available now?+
Yes. It is published and deployable directly from the Scrums.com catalog.
Can a Intezer AI SOC deployment be reversed?+
Yes. Deployments are reversible with a one-click swap inside the trial window.
Who provides Intezer AI SOC?+
Intezer, vetted by the Scrums.com platform.
How it compares
vs other agents| Option | From | Stack | Status |
|---|---|---|---|
| Intezer AI SOC · this one | Priced on scope | agent · ai-agents · soc | ● available |
| Qdrant MCP Server | Priced on scope | mcp · qdrant · vector database | ● available |
| Pinecone MCP Server | Priced on scope | mcp · pinecone · vector database | ● available |
| Databricks SQL MCP Server | Priced on scope | mcp · databricks · sql | ● available |
Commonly deployed with
more agentsQdrant MCP Server
Qdrant MCP Server gives approved AI clients access to qdrant vector-memory workflows for storing and retrieving semantically relevant context. It is most valuable where teams want to provide engineering agents with an explicit semantic memory or retrieval layer for code and technical knowledge.
Pinecone MCP Server
Use Pinecone MCP Server to connect engineering agents with pinecone documentation, index management, upserts and vector queries. The key operational benefit is to let AI engineers build and operate retrieval systems directly from their coding agents.
Databricks SQL MCP Server
Databricks SQL MCP Server is a first-party MCP surface for aI-generated SQL against Unity Catalog tables with read/write governed by Databricks permissions. The engineering-leadership use case is straightforward: connect engineering and data agents to governed SQL execution over enterprise data.
Priced on scope