Advanced Data Pilfering
See the data an attacker would actually take.
Advanced Data Pilfering autonomously hunts the credentials and sensitive data hiding in your environment, then ranks each by real business risk. So you move from “we found files” to “we found the files that matter” — and know exactly which data an attacker could take before it becomes a notifiable breach.
Autonomously discover and tag data at risk
ADP pilfers credentials and files from SMB shares, SYSVOL, config folders and cloud storage — no regex, no classifiers, no tuning. It uses local large language models to understand context and categorise findings (IP Theft, PII, source code, contracts, financials) even when buried in logs or spreadsheets, with each inference logged for explainability and audit evidence. Because that inference runs on local large language models, sensitive content is reasoned over inside your environment — the data-sovereignty assurance DISP and government deployments depend on.
Connected to the attack, not a separate scan
Pilfered credentials and data feed straight into the attack graph, expanding privilege escalation, lateral movement and crown-jewel access. Risk-tagged findings rise to the top of dashboards and reports, so the exposures that actually chain into a breach are the ones you see first. Findings surface across the Data, Impacts and Weaknesses tabs, in the Sankey diagram, and through the API and Action Logs for your existing workflows. Triaged exposures push into NodeZero’s remediation workflow and are confirmed closed with one-click retesting — verified fixed, not just fixed.
Validate exfiltration — safely
NodeZero emulates stealthy data-exfiltration techniques — including slow data exfiltration and impersonated-user access — to reveal whether your defences would detect a breach attempt, without causing any damage. You find out whether you would even notice data leaving before an attacker proves you would not.
You know data is exposed. Which exposures are board-level risk?
Organisations know data is exposed but lack clarity on which exposures create board-level risk. Traditional tools flood teams with regex-based noise and ignore attacker context. Advanced Data Pilfering closes that gap — linking sensitive-data exposures to real exploit paths, giving you actionable prioritisation and executives clear, business-level evidence of what is genuinely at risk.
Built for the Privacy Act, not just the scanner
ADP frames every exposure in financial, legal and reputational terms. For organisations under the Privacy Act and the Notifiable Data Breaches scheme, that means knowing which data an attacker could actually take — and proving you have closed the path — before it becomes a reportable breach.
Auditable proof under real pressure
By combining offensive realism with AI-generated explanations, Advanced Data Pilfering gives you an auditable, trustworthy way to surface the highest-impact exposures — without adding noise.
From “we found files” to “we found the files that matter”
Exploitable data, not a laundry list
NodeZero validates which exposures could lead to real risk like IP theft or operational disruption — not every file it can see.
Hidden credentials, escalation proven
NodeZero validates how hidden credentials chain into escalated attacks and business risk — with autonomous auto-tagging and no tuning required.
DSPM, made operational
Most data-security tools stop at visibility. ADP validates which data-at-risk to address first, by business impact.
Tune your DLP against real attacks
ADP shows where credentials and data can actually be exfiltrated — so you fine-tune controls against what an attacker would do.
See what data an attacker would go after first.
Run a data-security validation against your environment with the Drochaid team.