Less to learn up front
The AI layer of the ARRTECH Security Suite writes each investigation as a case, with rationale, evidence references and next steps. Analysts ask in plain language, so the depth of an investigation never depends on who picks it up. A person decides each case.
Every role knows its part
An analyst can start an investigation without learning the query language first. Cyberdroid AI Investigation, in early access with AI Detection, takes a plain-language request and returns a case with its rationale, evidence and next steps.
Every investigation ends as a written case your team can review, challenge and file. Cyberdroid AI Investigation records disagreement instead of dropping it, and AI Detection exports each finding into your case-management tool.
Administrators run every product from one console, so there is one set of users, roles, packages and updates to learn, not three.
Engineers onboard sources and turn searches into detection rules. Cyberdroid AI Detection learns its baselines from your own telemetry, so behavioral coverage does not wait on rules they write.
Builders design processes and playbooks separately, keep a person at every decision that needs one, and test on sample data before anything goes live.
DLP administrators set policy for each concern, from devices and applications to generative-AI use, and choose how each rule responds.
Training that fits your team
How your team learns each product.
In product
Every Cyberdroid AI Detection finding explains itself, with the baseline it departed from and its evidence, so analysts learn with each result.
Languages
The console runs in many languages.
