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Introducing Advanced Data Pilfering | View Your Data Through the Eyes of an Attacker →

Advanced Data Pilfering

Use NodeZero® to pilfer data-at-risk as a top attacker

Advanced Data Pilfering (ADP) autonomously discover credentials hidden in data stores and contextualizes pilfered data based on risk level during internal pentests, phishing, and insider threat scenarios. ADP autotags findings with clear risk categories and surfaces them across NodeZero findings, reports, and attack graphs.

What’s happening behind the scenes

Autonomously discover and auto-tag data-at-risk

ADP pilfers credentials and files from SMB shares, SYSVOL, config folders, and cloud storage. No regex or classifiers are required.

Classify business risk with GenAI reasoning

ADP analyzes pilfered data with advanced semantic reasoning and categorizes exploits into predefined risk categories such as IP Theft. Credentials, source code, contracts, financials, and PII are identified, even when buried in logs or spreadsheets, all inferred for explainability.

Connect data-at-risk to attacker prioritization

Pilfered credentials and data are integrated into the attack graph to expand privilege escalation, lateral movement, and crown jewel access. Risk-tagged findings rise to the top of dashboards and reports.

Validate exfiltration safely

NodeZero emulates stealthy data exfiltration techniques to reveal whether defenses would detect a breach attempt without causing damage.

Surfaces risk across your workflows

Teams can view risk in the Data, Impacts, and Weaknesses tab, and see annotated flows in the Sankey diagram. Findings can be pulled through APIs and Action Logs.

Context that turns exposure into risk

Organizations 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. ADP eliminates this gap linking sensitive data exposures to exploit paths, identifying actionable prioritization and giving executives clear, business-level evidence. Organizations 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. ADP eliminates this gap linking sensitive data exposures to exploit paths, identifying actionable prioritization and giving executives clear, business-level evidence.

Why it changes how you think about data risk

Focus on files that matter

ADP helps customers move from “we found files” to “we found the files that matter.”

Connect exposure to real business impact

Results are framed in financial, legal, and reputational terms.

Reduce manual triage

No regex tuning, no tagging, no guesswork are required. Auto-tagging and prioritization are built into the NodeZero attack engine.

Prove resilience under real pressure

By combining offensive realism with AI explainations, ADP provides an auditable and trustworthy way to surface high-impact exposures without adding noise.

What security leaders can now prove

We have identified exploitable hidden credentials in files and data at risk, not just a laundry list of data exposures

NodeZero validates which exposures could lead to risks like IP Theft and Operational Disruption.

We have shown how identity attacks can escalate

NodeZero validates how hidden credentials can be used to escalate attacks and business risks, all with autonomous auto-tagging. No tuning required.

We have made DSPM operational

NodeZero validates which data-at-risk should be addressed first, prioritizing business impact above all else and making it easy to remediate the highest importance data security issues.

We help you tune your DLPs

NodeZero shows where credentials and data-at-risk can be exfiltrated, showing where DLPs can be fine-tuned to avoid critical business risks.

Run your first data security validation with NodeZero

See what sensitive data an attacker would go after first.