AI InvestigatorQuery security data in plain English to investigate threats faster.

4.3 (6)

Reviewed by Daniel Nikulshyn·Updated July 2026

Cybersecurity Natural Language Threat Detection SOC Incident Response Security Analytics Enterprise

Overview

AI Investigator empowers security analysts to query their data in plain English, without special syntax or slow pivoting. It automatically generates and runs structured queries, allowing them to investigate threats across on-prem and cloud sources. By using natural language, analysts can ask security questions and get step-by-step insights with suggested next steps, cutting investigation time from hours to minutes. This tool is designed for seamless access to telemetry from hybrid infrastructure, with full visibility and instant access to various data sources, including network traffic, Sysmon and Windows Event Logs, and EDR alerts from popular security solutions. AI Investigator also features built-in access controls for multi-tenant environments, ensuring secure and auditable investigations.

Key features

Natural language queries over security data
Threat hunting and investigation support
Alert triage assistance
Incident timeline reconstruction
Integration with security telemetry sources

Pricing

Model: Free
Category: Legal, Risk & Compliance
Rating: 4.3 / 5 (6)

Use cases

Accelerate alert triage in the SOC

SOC analysts ask plain-English questions about incoming alerts to quickly assess severity, context, and scope without writing complex queries.

Threat hunting without query languages

Hunters explore logs and telemetry using natural language to surface suspicious patterns, lowering the skill barrier for proactive investigations.

Reconstruct incident timelines

Incident responders trace events across security data sources to build a clear timeline of attacker activity for faster containment and reporting.

Onboard and upskill junior analysts

New analysts contribute to investigations sooner by querying security data in plain English instead of learning vendor-specific query syntax.

Pros & Cons

Pros

No need to learn complex query languages
Speeds up threat investigation and triage
Accessible to less experienced analysts
Reduces context switching during incidents

Cons

Effectiveness depends on underlying data quality
Natural language queries may need refinement
Limited usefulness outside security workflows

Battle record

Across 6 battles in the Pantheon.

1st

2nd

3rd

Last 5 battles

Reviews

4.3

Average from 6 ratings.

Pierre Dubois

Feb 27, 2026

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on natural language queries over security data, and no need to learn complex query languages caught me off guard. Limited usefulness outside security workflows is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Victor Nguyen

Feb 18, 2026

Solid for our team

We rolled this out across the team last quarter and reduces context switching during incidents. Natural language queries over security data fits neatly into how we already work, and natural language queries over security data removed a step we used to do by hand. but it has held up under daily use.

Gunnar Eriksson

Jan 28, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: alert triage assistance and no need to learn complex query languages. Where it lags: effectiveness depends on underlying data quality. On balance the feature set — especially alert triage assistance — justifies the 4 stars for our use case.

Frank Müller

Jul 25, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: integration with security telemetry sources and no need to learn complex query languages. On balance the feature set — especially threat hunting and investigation support — justifies the 5 stars for our use case.

Tomáš Novák

Jul 24, 2025

Use it every day

Honestly didn't expect to like it this much. Incident timeline reconstruction is exactly what I needed, and speeds up threat investigation and triage. I do wish limited usefulness outside security workflows, but I reach for it almost every day now and it just clicks.

Liam O’Connor

Jun 1, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on threat hunting and investigation support, and speeds up threat investigation and triage caught me off guard. Natural language queries may need refinement is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Q&A

What limits the accuracy of AI Investigator’s natural‑language queries?

Query effectiveness depends on the underlying data quality; ambiguous or vague prompts may need refinement, and the tool works best when users are specific (e.g., naming users or IPs) to generate precise structured queries.

Asked by Yara Mansour · Jan 29, 2026

How does AI Investigator handle multi‑tenant environments and access control?

The platform is tenant‑aware by design, enforcing strict role‑based access controls that limit each user’s view and query scope, ensuring secure and auditable investigations across multiple tenants.

Asked by Henrik Dahl · Dec 22, 2025

What data sources can AI Investigator query without writing code?

AI Investigator can pull telemetry from on‑prem and cloud sources such as network traffic, Sysmon and Windows Event Logs, Microsoft Entra ID sign‑ins, Office 365 audit trails, and EDR alerts from solutions like SentinelOne, Sophos, and Trend Micro.

Asked by Nils Johansson · Dec 13, 2025