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CrowdStrike Charlotte AI
Ask your security data anything — in plain language, grounded in your Falcon data and adversary intelligence, and engineered for accuracy, not confident hallucination.
How it’s rated
Full scoreboard ↓Quick answer
Charlotte AI is CrowdStrike's generative-AI security analyst — ask your security data anything, in plain language, and get answers grounded in the Falcon platform's data and adversary intelligence. It's the AI-security product that turns a SOC's biggest constraint, skilled-analyst time, into something the whole team can access: triage, investigation and threat hunting done conversationally, at machine speed. Crucially, CrowdStrike built it with a strong approach to testing and validation to ensure its AI outputs are accurate (Forrester specifically praised this) — because a security AI that confidently hallucinates is worse than none. Charlotte AI powers detection triage across the platform (including in Identity Protection and Next-Gen SIEM), and its evolution into AgentWorks lets teams build their own security AI agents. It's the analyst-experience layer of CrowdStrike's agentic-SOC vision.
The CrowdStrike Falcon platform
This page covers Charlotte AI — the GenAI analyst. The rest of the platform:
Quick facts
30-second orientation- Product
- Charlotte AI — the GenAI security analyst
- Vendor
- CrowdStrike (founded 2011 · NASDAQ: CRWD · Austin, TX)
- What it does
- Ask your security data anything, in plain language
- Grounded in
- Falcon platform data + adversary intelligence
- The rigour
- Tested/validated for accuracy (Forrester-praised)
- Powers
- Detection triage across the platform
- Evolving into
- AgentWorks — build your own security AI agents
- The role
- The analyst-experience layer of the agentic SOC
- Licensing
- Falcon module; via Flex
- In India via
- TechBag — quotes, PoCs, GST invoicing, Tier-1 support
Understand AI security before you buy it
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What is a GenAI security analyst?
An AI you ask your security data anything, in plain language — grounded in the Falcon platform’s data and adversary intelligence, and engineered for accuracy.
Triage, investigation and hunting, conversationally, at machine speed.
A generic AI chatbot vs a grounded security analyst — the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | A generic LLM | Grounded GenAI analyst (Charlotte) |
|---|---|---|
| The access | Query languages, expertise | Plain-language questions |
| The grounding | A generic model, guessing | Falcon data + adversary intel |
| Accuracy | Confident hallucination risk | Tested, validated (Forrester) |
| The reach | A separate chatbot window | Woven through the platform |
| The expertise | Scarce, un-scalable | Democratised to the team |
| Triage | Manual, slow | AI-accelerated, machine-speed |
| The evolution | A static assistant | AgentWorks — build your agents |
| The decision | A feature footnote | A real AI-security product |
Charlotte is woven through Falcon — powering triage in Identity Protection, Next-Gen SIEM and beyond, not a separate window.
The five pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Conversational Interface
Natural-language questions to your security data — no query language, no console expertise. The whole team can ask what a senior analyst would.
Platform Grounding
Answers grounded in the Falcon platform's actual data and CrowdStrike's adversary intelligence — not a generic model guessing about your environment.
Accuracy Validation
A strong testing-and-validation approach (Forrester-praised) to keep AI outputs accurate — because a hallucinating security AI is worse than none.
Triage Across the Platform
Powers detection triage in Identity Protection, Next-Gen SIEM and beyond — the AI woven through the platform, not a separate chatbot.
AgentWorks
The evolution that lets teams build their own security AI agents — from asking Charlotte to fielding a custom agentic workforce.
One agent on every machine, one console over all of them — modules attach without a second operational world.
Twelve capabilities. Ask, investigate, trust.
Charlotte AI turns skilled-analyst time — a SOC’s scarcest resource — into something the whole team can ask for, grounded and accurate.
Natural-Language Queries
Ask your security data anything in plain language — no query syntax, no console expertise required.
Democratised Expertise
The whole team asks senior-analyst-level questions — turning the scarcest SOC resource into shared access.
AI-Accelerated Triage
Triages detections at machine speed — surfacing the real threat from the alert noise across the platform.
Platform Grounding
Grounded in your Falcon data and CrowdStrike's adversary intelligence — your environment, real adversaries.
Conversational Investigation
Walk through an incident conversationally — ask follow-ups, pivot, and reconstruct the attack in plain language.
Guided Threat Hunting
Hunt across your data by describing what you're looking for — hunting made accessible beyond the specialists.
Woven Through Falcon
Powers triage inside Identity Protection, Next-Gen SIEM and more — the AI in your workflow, not a separate window.
Validated Accuracy
A strong testing-and-validation approach (Forrester-praised) keeps outputs accurate — trustworthy, not just fluent.
No-Hallucination Design
Engineered so it doesn't confidently mislead — because a hallucinating security AI is worse than none.
AgentWorks
Build your own security AI agents — the on-ramp from asking Charlotte to fielding a custom agentic workforce.
Explainable Answers
Answers come with the reasoning and the data behind them — analysts can verify, not just accept.
Rapidly Evolving
New capabilities land regularly as CrowdStrike advances its agentic-SOC vision — the AI keeps getting more capable.
Watch Charlotte AI in action
The GenAI analyst live, AgentWorks, and building your security workforce.
See Charlotte AI In Action
The GenAI security analyst, live.
Charlotte AI AgentWorks
Building security AI agents with AgentWorks.
Charlotte AI AgentWorks: Build Your Security Workforce
Assembling a custom agentic workforce.
Want a live, India-context walkthrough on your own fleet?
Book a guided demo →A generic AI guesses. A grounded one knows.
Here’s what genuinely sets Charlotte AI apart from the alternatives.
The scarcest resource, democratised
A SOC's biggest constraint is skilled-analyst time — there's never enough senior expertise to go around. Charlotte AI lets anyone on the team ask a security question in plain language and get an expert-grade answer grounded in your data. It turns the scarcest resource into something the whole team can access, at machine speed.
Grounded, not guessing
The critical difference from a generic AI chatbot: Charlotte is grounded in the Falcon platform's actual data and CrowdStrike's adversary intelligence. It answers about YOUR environment and the real adversaries — not a plausible-sounding guess from a model that's never seen your estate.
Accuracy that Forrester singled out
A security AI that confidently hallucinates is worse than none — it sends you down wrong paths with false confidence. CrowdStrike built Charlotte with a strong testing-and-validation approach for output accuracy, which Forrester specifically praised. In security AI, trustworthy is the whole ballgame, and it's engineered for it.
Woven through the platform
Charlotte isn't a standalone chatbot bolted on — it powers detection triage inside Identity Protection, Next-Gen SIEM and across Falcon. The AI is where you already work, accelerating the real workflows, not a separate window you have to remember to open.
From asking to building — AgentWorks
Charlotte AI's evolution, AgentWorks, lets teams build their own security AI agents — moving from asking Charlotte questions to fielding a custom agentic workforce tailored to your environment. It's the on-ramp from AI-assisted analysis to the agentic SOC (see also Charlotte Agentic SOAR).
AI security is its own decision now
Two years ago 'AI in security' was a feature footnote. Now it's a distinct capability buyers evaluate on its own merits — accuracy, grounding, reach, trust. CrowdStrike treats it that way, and so should you: Charlotte AI is a real product to assess, not a marketing checkbox on the endpoint page.
The numbers behind the platform
What your Charlotte AI journey looks like
AI-security scoping
Your team's expertise gap, the workflows that eat senior-analyst time, and your Falcon footprint (the grounding source). TechBag scopes it free.
Ask-anything live
Charlotte enabled; the team asks real security questions in plain language and gets grounded answers; triage acceleration measured.
The accuracy test
Stress-test the answers against known-truth cases — verify the validated accuracy that makes a security AI trustworthy.
Agentic on-ramp
Charlotte in the daily workflow; pilot AgentWorks to build your own agents (see Agentic SOAR). TechBag models Flex in INR/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“Our junior analysts can now ask Charlotte what a senior would know — grounded in our actual data. It democratised the expertise we could never hire enough of.”
“It's grounded in our Falcon data and the adversary intel, so the answers are about our environment and real threats — not a generic chatbot guessing plausibly.”
“The accuracy focus is why we trust it. A security AI that hallucinates would be dangerous; this one is engineered to be right, and Forrester noticing that mattered to us.”
“Charlotte powering triage inside Identity Protection and the SIEM means the AI is in the workflow we already use — not a separate window we forget to open.”
“AgentWorks let us go from asking Charlotte to building our own agents. That path from AI-assisted to agentic is the future, and it's usable today.”
“It's most valuable if you're on Falcon — the grounding depends on the platform data. Evaluate it as part of the CrowdStrike SOC, not a standalone AI.”
“For a lean team the leverage is huge — it's like adding a senior analyst who never sleeps. Scope the value against your team's expertise gap.”
“It's evolving fast — new capabilities land regularly. For an AI-forward SOC that's exciting; just track where it is versus your needs.”
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 security market — tap any vendor to see why it sits where it does.
TechBag AI-Security Grid
Execution strength vs product vision — the classic market map, minus the paywall.
Grounded, validated GenAI analyst on Falcon — this page's subject.
Grounding & Accuracy × Platform Reach
The grid nobody publishes — how well-grounded and accurate the AI is vs how deeply it reaches into your security workflows.
Grounding + accuracy + reach — 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.
Charlotte AI vs the security-AI field
The platform-tied AI analysts — honest lanes; each is strongest on its own platform (SentinelOne’s hub is live).
| Dimension | Charlotte AI | Microsoft Security Copilot | SentinelOne Purple AI | Google Sec Gemini | Generic LLM |
|---|---|---|---|---|---|
| Heritage & focus | GenAI analyst on Falcon | MS-ecosystem AI | SentinelOne's GenAI | Google SecOps AI | A raw chatbot |
| Platform grounding | Falcon data + intel | MS data | Singularity data | Google data | None |
| Accuracy / validation | Forrester-praised | Improving | Strong | Improving | Hallucinates |
| Platform reach (triage) | Woven throughout | Across MS security | Across Singularity | Google SecOps | Standalone |
| Build-your-own agents | AgentWorks | Adding | Adding | Adding | None |
| Best fit | Falcon SOCs wanting a grounded, trusted GenAI analyst | All-Microsoft SOCs | SentinelOne estates | Google SecOps shops | Nobody, for security |
Which security-AI approach fits you?
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Choose Charlotte AI if…
- ✓You want a GenAI analyst grounded in your real data + intel
- ✓Validated accuracy (not hallucination) is non-negotiable
- ✓You want the AI woven through the platform, not a chatbot
- ✓You're on Falcon and want to grow into AgentWorks agents
Choose Security Copilot if…
- ✓You're all-Microsoft and MS-security-native
Choose Purple AI if…
- ✓You're on SentinelOne's Singularity — hub live
Choose Google Sec Gemini if…
- ✓You're on Google SecOps / Chronicle
Never use a generic LLM if…
- ✓It's for security — ungrounded, it hallucinates dangerously
What does the analyst-expertise gap cost you?
Drag the sliders (count security staff; IT-hour cost as loaded analyst rate). Estimates assume ~8 hours per analyst per week on triage and investigation that a grounded GenAI analyst accelerates, with ~60% removed by democratised, machine-speed AI analysis — the avoided cost of the expertise you can't hire is the larger, unpriced win. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models actual device counts and modules.
Three ways to consume it
Charlotte AI is a Falcon module, priced with the platform and via Flex. TechBag scopes it against your expertise gap in one GST quote.
Charlotte AI
Best for the GenAI analyst
- Ask your data anything
- Grounded in Falcon + intel
- Validated for accuracy
+ Platform triage
Best for woven-in AI
- Triage in Identity + Next-Gen SIEM
- AI in the workflows you use
- Machine-speed acceleration
+ AgentWorks
Best for the agentic SOC
- Build your own security agents
- The on-ramp to the agentic workforce
- TechBag models the Flex math
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 security-AI vendor
Take this into your next vendor call — including ours.
Ask questions about YOUR environment — verify Charlotte answers from your Falcon data and intel, not generic knowledge.
Pose known-truth cases and check the answers — a security AI must be right, not just fluent. This is the whole ballgame.
Have a junior analyst ask senior-level questions — confirm the expertise-democratisation value is real.
See Charlotte powering triage inside Identity Protection and Next-Gen SIEM — the AI woven in, not a separate window.
Measure time-to-understand on real alerts with vs without Charlotte — the machine-speed leverage.
Pilot building a custom security agent — the on-ramp from asking to an agentic workforce.
Review the testing/validation approach — the reason Forrester praised it, and the reason to trust it in production.
Scope it with Falcon in mind — the grounding depends on the platform data; model the Flex math with TechBag.
Questions buyers ask
Ready to evaluate Charlotte AI?
Stress-test the grounding and accuracy in a PoC (ask about your real environment), pilot AgentWorks, or let a TechBag advisor scope your AI-security fit.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.