Phishing Triage Agent that saves analyst hours.
Enrich reported messages, classify likely phishing, extract indicators, and create an analyst-ready case without auto-dismissing a true threat.
Nothing is finalized until a human approves it.
Where the time and money actually go.
User-reported email queues contain duplicates, spam, benign simulations, and sophisticated attacks; analysts repeat header, URL, attachment, and campaign analysis.
SOC analysts, help desk, employees and incident responders
Trigger to act: Phishing queue SLA is slipping, analysts are burned out, simulation volume confuses operations, or an MSSP needs repeatable tenant-aware triage.
The result you can model before you sign.
Illustrative only: 8,000 reported messages/month × 4 minutes removed × $65 loaded hourly cost ÷ 60 = $34,667 monthly capacity. Acceptance must prioritize malicious recall over automation rate.
The outcome, plainly: Enrich reported messages, classify likely phishing, extract indicators, and create an analyst-ready case without auto-dismissing a true threat.
Inputs in. A cited, review-ready result out. Your expert decides.
A Read-only security investigation agent. Every material fact is grounded in an allowed source and returned with its identifier, with no invented data.
Claude Sonnet 4.6 or GPT-5.6 Terra, selected on the client’s code/security golden set; Deterministic scanners, policy rules and tests remain authoritative; use a smaller model for labeling only. Read-only tool adapters; Sandboxed execution; Static analysis / test framework.
- Message headers/body
- URLs
- attachments/hashes
- sender/domain
- user and recipient context
- gateway verdict
AI-Native, not autonomous. Judgment stays with your people.
The machine does the work; the human’s role narrows to the one thing that matters, judgment. That constraint is what makes it safe to deploy.
Analyst approves benign/malicious disposition and containment; high-risk messages, credential exposure, and ambiguous cases escalate immediately.
A scorecard, not a demo. We baseline what breaks in production.
Every deployment ships with an evaluation suite. These are the numbers we baseline before launch and monitor after.
The category is crowded. Most of it isn’t built for your workflow.
Fixed-scope, tuned to your systems and rules, grounded in your data, with the human gate and audit trail built in from day one. A price you own, not a subscription you rent.
It plugs into the stack you already run.
No rip-and-replace. Access is scoped to the minimum data necessary, isolated per tenant, and fully logged.
Transparent by design. The build price buys the workflow and the proof.
A fixed implementation fee plus a monthly bill that scales with volume and governance. No hidden seats.
- ✓ One process / scope
- ✓ Live workflow on your data
- ✓ Baseline evaluation suite
- ✓ Measured vs. current process
- ✓ Full scope & integration
- ✓ Human-review UI & audit trail
- ✓ Write-back to your systems
- ✓ Production evals & monitoring
- ✓ Multi-facility rollout
- ✓ Advanced security & compliance
- ✓ Custom control & escalation
- ✓ Dedicated evaluation program
25,000–1,000,000 security events/month; SIEM/export charges can dominate
Planning assumptions, not vendor quotations. Your Email security gateway and other platform licenses are separate and owned by you. Figures confirmed during scoping.
“His vast knowledge of technologies and a natural problem-solving mindset consistently lead us through complex challenges with clarity and confidence.”
Questions serious buyers ask.
Does the AI act on its own?
No. Analyst approves benign/malicious disposition and containment; high-risk messages, credential exposure, and ambiguous cases escalate immediately. The system drafts and recommends; a human approves every consequential action. Explicitly excluded: No autonomous benign close for uncertain/high-risk messages; no detonation outside sandbox; no employee blame; no active exploitation or credential use..
How do you stop it inventing facts?
Every material claim is grounded in an allowed source record and returned with its source identifier. The system separates observed facts, model inference, and missing information, and routes to a human whenever confidence is low, evidence conflicts, or an adverse outcome is possible.
What does it cost to run each month?
A usage bill of roughly $1,550–18,200/month (25,000–1,000,000 security events/month; SIEM/export charges can dominate), plus a $3,800/month managed retainer for evaluation, monitoring and maintenance. Your existing platform licenses are separate and already yours. Exact figures are confirmed during scoping.
Do we need a ChatGPT or Claude subscription?
No consumer ChatGPT or Claude subscription is required for the production workflow. The client needs an approved API/cloud billing account. Workspace seats are optional for internal prototyping and administrator access.
How is this different from Abnormal Security?
Tools like Abnormal Security, Sublime Security, Microsoft Defender are broad platforms you adapt to. This is a fixed-scope implementation tuned to your systems and rules, grounded in your data, with the human gate and audit trail built in, and a transparent price instead of a seat subscription.
How long until it’s live, and how do we prove it works?
This is a enterprise / regulated launch. We baseline “Triage time” first, then measure against that baseline. You see the scorecard before expanding scope, the evaluation suite ships with the system, not as an afterthought.
Bring your real numbers. Leave with a fixed-scope plan.
A 30-minute engineering-led working session, no slideware. You leave with a sized opportunity estimate, a fixed-scope pilot plan, and the integration & human-review path mapped.
VP of Growth at ViitorCloud · senior delivery owner confirmed before paid work