AI can be a valuable asset, only when it’s fed with highest quality data.
Our sandbox-based analysis produces deterministic verdicts, structured indicators, and clarity your AI-powered security initiatives need for safer automation at scale, faster response, and reliable threat intelligence.
Reduce analyst overwhelm
Automation runs on facts, not guesses; triage time drops.
Sandbox-verified behavior and IOCs your models can trust.
Safe automation at scale
High-throughput sandboxing supplies the data volume AI needs — without noise. JSON/STIX exports mapped to MITRE for immediate ML and TIP integration.
Improve detection accuracy
Behavioral truth sharpens model outcomes and rule precision.
Evasion-resistant detonation produces first-order, machine-readable artifacts.
85% of AI initiatives may fail due to poor data quality and inadequate volume
CTO Magazine
77% of executives believe unlocking the true benefits of AI will only be possible when it’s built on a foundation of trust: accuracy and traceability.
Accenture
96% of U.S. data professionals believe that poor AI data quality could lead to widespread crises – when data quality is not prioritized
Qlik Research
“The potential of artificial intelligence (AI) hinges on high-quality, first-order data.
Without robust data collection, promises of transformative AI solutions remain empty.”
World Economic Forum
AI is an enabler, not a replacement. It scales decision-making — but it also scales errors when fed noisy signals.
Feed your AI-powered security systems with the accurate, clear, and machine-readable outputs of evasion-resistant sandboxing.
This supplies AI and automation with the high-fidelity truth they need to improve precision and reduce risk.
Read the blog post:
Fueling the AI-enabled SOC with high-fidelity Threat Intelligence >>
AI multiplies outputs — and it multiplies mistakes if the inputs are weak.
Feed models first-order fact-based data from sandbox detonation.
Fewer false positives, faster response, confident automation.
Reduce analyst overwhelm
The analysis layer that powers reliable AI
Read the e-book:
Measurable gains from verified data
Fewer false positives
Automation-safe verdicts lower analyst triage hours.
Faster investigations
Full execution timelines and config extraction accelerate root-cause analysis
Trustworthy threat intelligence
Reusable, high-fidelity IOCs for TIPs and cross-agency sharing.
Responsible AI adoption:
Clean inputs mitigate the impacts of hallucination and manual overrides.
Read the two-page summary:
with fact-based data
Further resources:
the research & thinking behind our position
