What a AI Cybersecurity Threat Detection System actually does
Ingests SIEM/EDR alerts and uses large language models to triage events, suppress false positives, and generate Tier-1 incident summaries in seconds instead of 20 minutes.
At its core, the AI-triage layer sits between your existing SIEM (Wazuh, Elastic Security, or Splunk) and your analyst queue. Each incoming alert—a JSON payload from your SIEM—is routed to Claude Sonnet 4.6 with a structured prompt containing event metadata, the affected asset context, and a rolling threat-intel RAG corpus built on MISP or AlienVault OTX feeds. The model classifies severity, suppresses duplicate or known-benign noise, and writes a plain-English incident brief that a Tier-1 analyst can act on in under 30 seconds. High-volume phishing-email scoring (raw EML files) takes a separate path through DeepSeek V4 Flash at $0.00015/email—keeping the premium model budget for the incidents that actually need it.
The MSSP market is bifurcated in 2026: enterprise XDR/MDR platforms (CrowdStrike, SentinelOne, Microsoft Defender for MSP) are all channel-partner programs with no true rebrandable SMB SaaS tier. Real AI-triage impact is not in detection—your EDR already detects—but in the labor cost of Tier-1 analysis. At $0.013 per alert triaged vs. a $25/hr analyst spending 20 minutes per alert, the ROI math is stark for any SOC handling 500+ alerts per day. The catch is compliance: every MSSP RFP requires SOC 2 Type II and ISO 27001, adding $70K+ in audit fees and 9+ months before your first revenue dollar.
AI capabilities involved
Alert triage and false-positive suppression
Incident-summary generation for Tier-1/Tier-2 handoff
Threat-intel enrichment via RAG over MISP/OTX feeds
Phishing-email classification from raw EML payloads
Anomaly detection on authentication logs
Who uses this
- MSSPs running SOC-as-a-service for 10–100 SMB or mid-market clients, looking to cut Tier-1 analyst headcount by 40–60%
- MSPs adding cybersecurity services to their stack and needing AI triage without a 24-hour analyst bench
- Fractional CISO consultants building a branded threat-intel reporting service for 3–15 clients
- SOC-as-a-service vendors (CyberHunter, eSentire channel partners) wanting a thin AI-summary layer over their existing SIEM data
- Security integrators evaluating whether to resell Huntress/Sophos MDR or build proprietary triage tooling
SaaS alternatives on the market
Real products you can sign up for today — with current 2026 pricing, honest pros and cons.
Huntress MDR
MSPs serving SMB clients (25–500 seats each) who need a credible MDR offering without building an in-house SOC
Partner application; no free tier
~$3–7/endpoint/mo (channel-only pricing)
Pros
- +Purpose-built for MSPs: Huntress ingests EDR telemetry and delivers human-verified threat hunting, not just alert dashboards.
- +Fastest time-to-value: MSP partners are typically live within 2–4 weeks after onboarding.
- +Strong SMB-market fit: priced for sub-500-seat clients where CrowdStrike is too expensive.
- +Active 24/7 SOC backs every alert escalation—you're not building a bench.
Cons
- −No true white-label: the Huntress brand is always visible to your end-clients—you cannot resell this as your own product.
- −Channel-only pricing requires a formal partner agreement; no self-serve signup.
- −Limited customization of alert playbooks and reporting templates.
- −Per-endpoint cost stacks quickly at scale: 5,000 endpoints at $5/endpoint = $25K/mo with 0% cost reduction as you grow.
Sophos MDR
Mid-market MSSPs serving clients with 200–2,000 seats who need endpoint + network + email coverage under one MDR umbrella
Partner application only
Quote-based MSSP partner tiers
Pros
- +Full-spectrum MDR covering endpoint, firewall, email, and cloud—one console across the entire client stack.
- +Deep MSSP co-management mode lets you retain Tier-1 triage while Sophos handles escalations.
- +EU data residency available—important for European MSSP partners.
- +Strong compliance documentation: Sophos holds SOC 2 Type II + ISO 27001 you can reference in client RFPs.
Cons
- −No full rebrand: Sophos co-marketing model, not white-label platform.
- −Quote-based pricing creates sales friction when responding to SMB RFPs quickly.
- −Partner tier minimums vary; smaller MSPs may not qualify for preferred pricing.
- −Migration from an existing Sophos-competitive EDR adds 4–8 weeks of client downtime risk.
SentinelOne Vigilance MDR
MSSPs targeting enterprise clients (500+ seats) with public-sector or healthcare requirements where FedRAMP certification matters
Partner program application
~$5–12/endpoint/mo MSSP pricing (quote-based)
Pros
- +Industry-leading autonomous EDR engine—Vigilance wraps human SOC analysts around SentinelOne's AI detection.
- +Purple AI is SentinelOne's LLM-based threat hunting assistant, giving MSSP analysts a natural-language query interface.
- +Strong enterprise certification stack: SOC 2, ISO 27001, FedRAMP Moderate—addresses every public-sector RFP requirement.
- +MSSP partner portal includes co-branded reports and white-glove onboarding for enterprise accounts.
Cons
- −No true white-label: SentinelOne brand remains; you're a value-added reseller.
- −Enterprise pricing floor—at $5–12/endpoint, difficult to compete in sub-100-seat SMB market against Huntress.
- −Complex partner tier qualification; smaller MSPs struggle to reach preferred-pricing levels.
- −Purple AI is included in higher tiers only—lower-tier MSSP partners don't get the LLM feature set.
Microsoft Defender for MSP
MSPs whose client base is predominantly Microsoft 365 shops and who want a single-vendor security umbrella
Microsoft Partner Network application
Per-user license via Microsoft licensing (quote/channel)
Pros
- +Native integration with Microsoft 365 and Azure—covers most SMB client environments without additional agents.
- +Copilot for Security included at higher tiers—GPT-4-class threat summaries baked into the Defender console.
- +Single Microsoft BAA covers HIPAA requirements for healthcare-adjacent clients.
- +Widest ecosystem fit: most SMB clients already pay for M365 Business Premium, which includes Defender for Endpoint Plan 1.
Cons
- −No white-label: Microsoft brand is deeply embedded across every client-facing dashboard.
- −License complexity across M365/Defender/Sentinel tiers creates significant billing overhead.
- −Weak against non-Microsoft environments—Mac-heavy or Linux-heavy clients require additional endpoint agents.
- −Defender's AI Copilot features are Bing-grounded, not customizable with your threat-intel corpus.
The AI stack
A production-grade AI-triage layer on top of an existing SIEM requires three core components: an LLM for alert reasoning, embeddings for threat-intel RAG, and a cheap classification tier for high-volume phishing scoring. The cost-quality tradeoff centers on keeping Claude Sonnet 4.6 in the high-value path while routing bulk classification to DeepSeek V4 Flash.
Alert triage and incident summarization
Classify SIEM alerts by severity, suppress false positives, and generate Tier-1 incident briefs
Claude Sonnet 4.6
$3/$15 per M tokensPrimary triage model for medium-to-high-severity alerts requiring nuanced analyst handoff summaries
DeepSeek V4 Flash
$0.14/$0.28 per M tokensHigh-volume initial classification pass on low-severity alerts before escalating to Sonnet 4.6
Llama 4 Scout (self-hosted H100)
~$0.36/M tokens (self-host compute)Enterprise MSSP clients with explicit no-third-party-cloud contract requirements (government, finance, healthcare)
Our pick: Claude Sonnet 4.6 as primary for all medium/high-severity paths. DeepSeek V4 Flash as the pre-filter for bulk low-severity event classification. Llama 4 Scout for tenants with data-residency mandates.
Threat-intel RAG (MISP/OTX enrichment)
Retrieve relevant threat-intel context from your MISP/AlienVault corpus to enrich alert context before LLM triage
text-embedding-3-small
$0.02/M tokensMSSPs with <50K threat-intel entries where embedding quality difference is not yet material
Voyage-3-large
$0.18/M tokensLarge threat-intel corpora (100K+ IOCs) where retrieval precision directly affects alert quality
Our pick: text-embedding-3-small for initial builds under 50K entries. Upgrade to Voyage-3-large once the corpus exceeds 100K entries and false-positives-from-retrieval become measurable.
Phishing-email classification
Score inbound EML files for phishing probability at high volume before queuing for analyst review
DeepSeek V4 Flash
$0.00015/email (500 in + 500 out tokens)High-volume phishing scoring for US-domiciled clients where data-routing is not a blocker
Claude Haiku 4.5
$1/$5 per M tokens (~$0.001/email)Healthcare or government clients where data-residency disqualifies DeepSeek routing
Our pick: DeepSeek V4 Flash for US commercial clients (cost floor: $0.00015/email). Claude Haiku 4.5 via Bedrock for any client with HIPAA BAA or federal contractor requirements.
Reference architecture
The pipeline is a thin AI-triage layer that sits on top of an existing SIEM via webhook—it does not replace detection, it replaces analyst time-to-triage. The hardest engineering challenge is per-tenant data isolation: each MSSP client's telemetry must never cross-pollinate with another client's alert corpus or threat-intel context.
SIEM emits alert as JSON payload via webhook
Wazuh/Elastic Security webhook + Next.js Route HandlerAlerts arrive as structured JSON (rule.id, agent.name, rule.description, timestamp, severity). Route Handler validates HMAC signature and routes to a per-tenant queue.
Alert is enqueued for async processing
Supabase queue + Trigger.dev background jobAlerts are inserted into a per-tenant Supabase queue table. Trigger.dev worker picks them up with configurable concurrency—prevents runaway API spend during alert storms.
Threat-intel context retrieved via RAG
pgvector + text-embedding-3-small edge functionAlert description and IOCs are embedded; top-5 MISP/OTX entries retrieved by cosine similarity. Context is appended to the LLM prompt.
LLM triage generates severity classification + incident brief
Claude Sonnet 4.6 edge functionStructured prompt includes alert JSON, RAG context, and per-tenant playbook rules. Output is a JSON object: { severity, false_positive_probability, incident_brief, recommended_action }.
Triage result written to per-tenant dashboard
Supabase database + Next.js Server ComponentIncident record inserted with strict RLS policies ensuring Tenant A cannot read Tenant B's alerts. Real-time subscription pushes new incidents to analyst dashboard.
Analyst reviews and closes incident
Next.js dashboard + Supabase mutationOne-click close/escalate actions update incident status. Closed incidents feed back into the RAG corpus to improve future false-positive suppression.
Executive summary generated nightly
Supabase CRON + Claude Sonnet 4.6 edge functionNightly job aggregates per-tenant alert volume, MTTD, false-positive rate, and top threat categories into a client-facing PDF report. Token budget hard-capped per tenant per run.
Estimated cost per request
~$0.013 per alert triaged (Sonnet 4.6: 2,600 in + 400 out tokens); ~$0.00015 per phishing email scored (DeepSeek V4 Flash). At 500 alerts/day across 10 clients: ~$2,372/mo in AI API costs.
Cost calculator
Drag the sliders to model your actual usage. The numbers update in real time so you can stress-test economics before writing a single line of code.
Models the monthly AI API cost for a production MSSP alert-triage deployment. Does not include SOC 2 audit fees, engineering labor, or platform hosting—those are the dominant real costs. Assumes Claude Sonnet 4.6 for medium/high-severity triage and DeepSeek V4 Flash for bulk phishing scoring.
Estimated monthly cost
$67.67
≈ $812 per year
Calculator notes
- Triage cost uses Sonnet 4.6 at 2,600 in + 400 out tokens per alert. Routing 60% of alerts to DeepSeek V4 Flash pre-filter cuts this by ~50%.
- Threat-intel RAG re-embedding (text-embedding-3-small) adds ~$0.002/1K new IOCs ingested—small unless your MISP corpus grows >100K entries/mo.
- Per-tenant nightly executive summary (Sonnet 4.6, T1 row 16): ~$0.022/report—$6.60/mo per 10 clients.
- Calculator excludes SOC 2 audit ($40K+), ISO 27001 ($30K+), engineering labor, and MSSP partner contract minimums—these are the real cost drivers at entry.
Build it yourself with vibe-coding tools
Build-yourself is only realistic as an internal POC for demos—not for production MSSP use. You can have a working Wazuh-alert-triage prototype running by Sunday night that visually demonstrates AI incident summaries to a prospective client.
Time to MVP
1 weekend (POC only); 16–28 weeks for production
Total cost to MVP
$25 Lovable Pro + ~$50 Claude API credits (demo only)
You'll need
Starter prompt
Build a cybersecurity alert triage dashboard for MSSPs. Use Next.js App Router + Supabase + TypeScript. Core features: 1. Webhook endpoint at /api/alerts/ingest that accepts JSON Wazuh alert payloads and stores them in a Supabase 'alerts' table (columns: id, tenant_id, raw_json, severity, triage_summary, status, created_at) 2. Supabase Edge Function 'triage-alert' that calls Claude Sonnet 4.6 API with this system prompt: 'You are a Tier-1 SOC analyst. Given this SIEM alert JSON, output a structured JSON with: severity (critical/high/medium/low), false_positive_probability (0-1), incident_brief (2-3 sentences), recommended_action (contain/investigate/close). Output only valid JSON.' 3. Dashboard page showing alerts table with columns: time, asset, severity, AI summary, status. Filter by severity and status. 4. Row-level security on all Supabase tables filtering by tenant_id 5. Simple auth via Supabase Auth (email/password) Do NOT build real MDR detection logic—this is a triage display layer only. Include a prominent disclaimer in the UI: 'POC only — not certified for production MSSP use'.
Paste this into Lovable
Follow-up prompts (run in order)
- 1
Add a Supabase Edge Function that runs nightly using Supabase CRON. It should aggregate the last 24 hours of alerts per tenant and call Claude Sonnet 4.6 to generate an executive summary. Store the summary in an 'reports' table and display it on a separate Reports page.
- 2
Wire up threat-intel RAG: create a 'threat_intel' table with a vector column using pgvector. Add an Edge Function that embeds each alert's description using text-embedding-3-small, retrieves top 3 similar IOC entries, and prepends that context to the triage prompt.
- 3
Add a phishing-email scoring path: a POST /api/phishing/score endpoint that accepts raw EML text and calls DeepSeek V4 Flash to score phishing probability (0-1) and extract the key indicators. Show scores in a separate Phishing tab.
- 4
Add per-tenant token-budget enforcement: track cumulative Claude API tokens per tenant per month in a 'usage' table. If a tenant exceeds 5M tokens/mo, auto-pause triage and email the admin. This prevents runaway API costs during alert storms.
Expected output
A working dashboard that ingests sample Wazuh alerts, calls Claude Sonnet 4.6 to generate incident summaries, and displays them with severity filters. Suitable for a 30-minute client demo—not for real telemetry.
Known gotchas
- !Lovable will not set up HMAC-signed webhook validation automatically—add this manually or any external system can POST fake alerts to your ingest endpoint.
- !Claude Sonnet 4.6's JSON mode requires explicit instruction; without it the model occasionally returns markdown-wrapped JSON that breaks your parser.
- !Supabase Edge Functions have a 2MB payload limit—large SIEM events (e.g. full syslog with stack traces) need to be truncated before passing to the LLM.
- !Do not use this POC with real client telemetry before adding per-tenant encryption and passing a security review—a data cross-contamination incident on even a demo can end an MSP relationship.
- !DeepSeek V4 Flash is not suitable for clients with EU GDPR or US HIPAA requirements—route those tenants to Claude Haiku 4.5 via AWS Bedrock.
- !The POC has no SOC 2 controls—if a prospective client asks for your audit certificate during the demo, be transparent that this is a prototype and the production build is 16–28 weeks away.
Compliance & risk reality check
Cybersecurity threat detection is one of the highest-compliance categories in the cluster. Handling customer telemetry data across multiple tenants creates simultaneous SOC 2, HIPAA, GDPR, and data-sovereignty obligations that cannot be retrofitted after launch.
SOC 2 Type II
Every MSSP RFP at mid-market and above includes a SOC 2 Type II certification requirement. The audit covers security, availability, confidentiality, processing integrity, and privacy across your entire platform—including how you handle per-tenant alert telemetry. Standing up SOC 2 Type II from scratch costs approximately $40K in auditor fees and takes 6–9 months to complete the observation period.
Mitigation: Engage a SOC 2 readiness firm (Drata, Vanta, or SecureFrame) to automate evidence collection before writing a line of code. Build the platform on SOC 2-certified infrastructure (AWS, GCP, or Azure) and use Supabase Pro (SOC 2 Type II certified) for database hosting.
ISO 27001
International MSSP clients (EU, UK, ANZ) require ISO 27001 in every RFP alongside SOC 2. The certification adds approximately $30K in external auditor fees and 6 months on top of SOC 2 preparation. Running both certifications concurrently is possible but adds 20–30% overhead to the audit program.
Mitigation: Use the same Drata/Vanta evidence-collection platform for ISO 27001 as for SOC 2—the control overlap is 60–70%. If budget forces a choice, prioritize SOC 2 Type II first for US clients and add ISO 27001 when pursuing EU enterprise accounts.
HIPAA BAA for healthcare-endpoint clients
Any MSSP client with healthcare endpoints—hospitals, clinics, health-tech companies—requires a signed HIPAA Business Associate Agreement before their telemetry can touch your platform. Without a BAA, processing their EDR/SIEM data makes you a HIPAA-liable business associate regardless of whether PHI appears in the alerts.
Mitigation: Route all healthcare-client LLM calls through AWS Bedrock or Azure OpenAI Service, where a single cloud BAA covers all model invocations. Supabase Pro does not offer a HIPAA BAA—use RDS or Azure PostgreSQL for those tenants.
GDPR and EU data residency
EU client telemetry (syslog, EDR events, email metadata) constitutes personal data under GDPR and must not be transferred outside the EU without a valid transfer mechanism. Running EU client telemetry through US-based Claude API endpoints likely violates GDPR Chapter V without a Data Processing Agreement and Standard Contractual Clauses in place.
Mitigation: For EU clients, route LLM calls to Anthropic's EU endpoint (available via Amazon Bedrock EU regions), use Mistral Large 3 (native EU data residency at $0.50/$1.50), or self-host Llama 4 Scout on EU-based infrastructure. Implement per-tenant data-residency configuration in your platform settings.
Per-tenant log-data isolation and retention
REPORT Act precedent establishes that breach-notification obligations can attach to incomplete forensic data retention. Cross-tenant data contamination—where Tenant A's alert context bleeds into Tenant B's triage results—would constitute a data breach under GDPR and most US state breach-notification laws. Alert telemetry should be retained for at least 1 year for forensic purposes.
Mitigation: Enforce row-level security on all Supabase tables with a tenant_id column. Never pass multi-tenant context in a single LLM call. Implement separate vector namespaces in pgvector per tenant. Archive raw alert JSON to tenant-isolated S3/R2 buckets with 1-year retention policy.
Build vs buy: the real math
16–28 weeks (production build; excludes 6–9 month SOC 2 observation period)
Custom build time
$60,000–$150,000
One-time investment
18–30 months (including compliance ramp)
Breakeven vs buying
A SentinelOne Vigilance or Sophos MDR resell at $7/endpoint across 10 clients averaging 300 endpoints each = $25,200/mo in revenue with roughly 70% vendor pass-through cost ($17,640/mo), netting $7,560/mo gross margin. A RapidDev-built AI-triage platform at the same 3,000 endpoints—billed at $15/endpoint with $0.013/alert AI cost at 200 alerts/endpoint/month ($7,800/mo AI cost + $1,000/mo infra)—nets $45,000 - $8,800 = $36,200/mo gross margin. The $105K midpoint build cost breaks even in roughly 3 months at that scale—but the 9-month SOC 2 observation period means real revenue doesn't start until month 13+ from build initiation. The math strongly favors build at 30+ enterprise clients; for 1–15 clients, partner-resell is economically dominant. As model prices continue falling (T8 price-decay trend: ~40% per 18 months), the custom-build margin only improves over time.
Skip the DIY — RapidDev builds the production version
A Lovable MVP gets you a demo. Production needs auth that doesn't leak data, AI calls that don't bankrupt you, observability when models drift, and code you can audit. That's what we ship.
Discovery call (free)
30 minWe map your exact AI Cybersecurity Threat Detection System use case: who uses it, target volume, AI model choice, integrations, compliance scope. You get a detailed scope document and fixed-price quote within 48 hours.
AI-accelerated build
16–28 weeks (production build; excludes 6–9 month SOC 2 observation period)Our engineers use Claude Code, Lovable, and custom tooling to ship 3–5x faster than agencies. You see weekly progress in a staging environment — not a black box.
Launch + handoff
1 weekWe deploy to your infrastructure, transfer the GitHub repo, set up CI/CD and monitoring, and train your team. You own 100% of the source code, prompts, and model configurations.
What you get
Timeline
16–28 weeks (production build; excludes 6–9 month SOC 2 observation period)
Investment
$60,000–$150,000
vs SaaS
ROI in 18–30 months (including compliance ramp)
30-min call. Fixed-price quote within 48 hours. No commitment.
Frequently asked questions
How much does it cost to build an AI cybersecurity threat detection system?
RapidDev's build cost for a production-grade AI-triage layer on top of an existing SIEM (Wazuh or Elastic Security) is $60K–$150K—well above our standard band because SOC 2 Type II scope, HIPAA BAA architecture, and per-tenant telemetry isolation each add meaningful engineering complexity. That figure excludes the SOC 2 audit itself ($40K + 6–9 months) and ISO 27001 ($30K + 6 months). Total investment to first enterprise MSSP client: $130K–$220K over 15–24 months.
How long does it take to ship an AI threat detection platform?
The engineering build takes 16–28 weeks for a production-grade thin-layer platform. However, no MSSP will sign an enterprise client until you hold SOC 2 Type II certification, which requires a 6–9 month observation period that starts on day one of the build. Realistic timeline from kick-off to first enterprise revenue: 12–18 months. If you need revenue within 6 months, partner-reselling Huntress or Sophos MDR is the only realistic path.
Can RapidDev build this for my MSSP?
Yes. RapidDev has shipped 600+ applications and 200+ AI implementations, including security-adjacent platforms with multi-tenant data isolation and LLM-triage pipelines. We scope the engagement carefully because this category is genuinely complex—we won't quote a standard $13K–$25K build for something that requires SOC 2 architecture from day one. Book a free 30-minute consultation to scope your specific SIEM stack, client count, and certification timeline.
Do I need SOC 2 before launching, or can I add it later?
You need SOC 2 before landing enterprise MSSP clients—not before writing code, but before signing any client contract. The SOC 2 observation period can run in parallel with your engineering build if you start the readiness program on day one. Launching to a handful of friendly early-access clients without SOC 2 is technically possible, but the moment one client's RFP arrives (which happens immediately at mid-market), you will either lose the deal or misrepresent your certification status.
Can I use DeepSeek for phishing scoring on HIPAA-covered clients?
No. DeepSeek V4 Flash routes through non-US infrastructure that cannot be covered by a HIPAA BAA. For any healthcare-endpoint clients, route all LLM calls through AWS Bedrock or Azure OpenAI Service, where your cloud provider's BAA covers the model invocation. Use Claude Haiku 4.5 via Bedrock ($1/$5 per M tokens) as your high-volume classification tier for HIPAA tenants—it's 6.7× more expensive than DeepSeek but the only legally clean path.
What's the difference between this and buying a Huntress/Sophos MDR partner license?
The partner-resell path gives you a credible MDR service in 4–8 weeks at $3–12/endpoint/mo, but the Huntress or Sophos brand stays fully visible to your clients—you are a reseller, not a platform vendor. The custom-build path gives you a branded platform you own and can price at $12–20/endpoint/mo, but requires $60K–$150K upfront, 16–28 weeks of engineering, and a 9-month SOC 2 observation period. If your MSSP value proposition is your brand as a security platform—not Huntress's—the custom build is defensible at 30+ enterprise clients. Below that, reselling is economically dominant.
How do I handle EU client telemetry under GDPR?
EU client telemetry is personal data under GDPR and cannot be sent to US-based Claude API endpoints without a Data Processing Agreement and valid transfer mechanism. Three compliant options: (1) Route EU-client LLM calls to Anthropic's EU-region Bedrock endpoint; (2) Use Mistral Large 3 ($0.50/$1.50/M tokens), which offers native EU data residency as a French company; (3) Self-host Llama 4 Scout on EU-based GPU infrastructure. Implement per-tenant data-residency configuration in your platform so EU tenants are automatically routed to the compliant path.
Want the production version?
- Delivered in 16–28 weeks (production build; excludes 6–9 month SOC 2 observation period)
- You own 100% of the code
- AI cost monitoring built in
30-min call. No commitment.
