Workforce
Cyberdroid AI Investigation, in early access, takes a finding through read-only queries and writes a case with its evidence and next steps. Every analyst starts from that case, so depth never depends on who picks it up. Authority never comes from the model.
Work
Before an analyst can judge an alert, someone has to gather the evidence. AI Investigation runs the read-only queries, follows the evidence and writes the case. Your team spends its time deciding, not gathering.
Analysts ask what AI leaves them to do. The answer is every judgment: no model approves its own work, accepts a case or acts on your estate. Each of those steps needs a person.
Research on automation finds that people over-rely on decision aids, experts included. Every AI Investigation case cites its evidence references, discloses truncated results and keeps unresolved objections attached, so an analyst checks the reasoning instead of trusting it.
An incomplete case is a valid outcome. When evidence or budget runs out, AI Investigation parks the case incomplete instead of concluding, and a dead feed is never read as proof that nothing happened. Reasoning depth comes before speed.
We promise no headcount reduction and no percentage saving. An evaluation measures reviewer effort, minutes per case and cost per investigation an analyst accepts, on a labeled set, against criteria agreed before the first case.
Accountability does not move to software. AI Investigation cannot approve its own work or choose who receives an answer. In the delegated-work module, finished work returns in review, never resolved, until a person accepts or reopens it.
Skills
Oversight depends on people equipped to exercise it. The clauses we cite show how our design relates to each framework.
EU
Article 26(2) of the EU AI Act asks deployers of high-risk systems to assign oversight to people with the competence, training and authority to exercise it. Article 4, as amended, asks providers and deployers to support their staff’s AI literacy.
NIST
AI RMF GOVERN 3.2 asks that roles for human-AI configurations and oversight are defined, and MAP 3.4 asks for operator proficiency. The NICE Framework’s Defensive Cybersecurity work role describes the analyst this page is about.
