Train AI That Detects Threats
Others Miss
Expert annotation for malware classifiers, intrusion detection systems, and threat intelligence models. Security domain specialists who understand the data behind the threat.
Security AI Training Data Across Every Threat Domain
From malware classification to threat intelligence extraction. We build the labeled datasets your security AI needs to work in production environments.
Malware Classification Data
Labeled malware samples across threat categories — ransomware, trojans, spyware, and advanced persistent threats. Expert annotation by security analysts.
- Threat family labeling
- Behavior classification
- Severity scoring
Network Anomaly Detection
Annotated network traffic datasets for training intrusion detection systems. Labeled normal vs. malicious patterns at packet and flow levels.
- Flow-level annotation
- Attack vector labeling
- False positive reduction
Phishing & Social Engineering
Large-scale labeled datasets of phishing emails, malicious URLs, and social engineering messages. Nuanced annotation capturing evolving attack patterns.
- Email header analysis
- URL risk scoring
- Intent classification
Vulnerability Assessment Data
Labeled vulnerability reports, CVE descriptions, and security advisories for NLP models that triage and prioritize security issues.
- CVSS score validation
- Impact classification
- Remediation tagging
Log Analysis Annotation
Expert annotation of security logs, SIEM data, and audit trails. Training data for models that identify suspicious patterns in high-volume log streams.
- Event correlation
- Anomaly flagging
- Attack timeline reconstruction
Threat Intelligence Labeling
Structured annotation of threat reports, dark web content, and intelligence feeds. Help your models extract actionable indicators from unstructured sources.
- IOC extraction
- Actor attribution
- Campaign tracking
Security AI Is Only As Good As Its Training Data
A threat detection model trained on poor-quality or mislabeled data doesn't just miss attacks — it creates false confidence. The stakes are higher in security than almost any other domain.
Security Domain Expertise
Annotation teams with backgrounds in security operations, incident response, and threat intelligence — not generic crowd annotators.
Sensitive Data Handling
Strict data compartmentalization, NDA-protected workflows, and air-gap options for highly sensitive security datasets.
Audit-Ready Pipelines
Full chain-of-custody documentation, inter-annotator agreement reporting, and reproducible quality metrics for compliance requirements.
Security-First Data Annotation
Every security dataset we build comes with strict data handling protocols, domain-expert annotators, and quality metrics that match production requirements.
Malware Sample Annotation
Detailed behavioral and static analysis labels for malware samples. Threat family, behavior type, severity, and evasion technique classification.
Phishing Dataset Construction
Balanced datasets of phishing and legitimate communications, with fine-grained labels for training robust email and URL classifiers.
Network Traffic Labeling
Packet-level and flow-level annotation of network captures. Attack type labeling for DDoS, port scanning, lateral movement, and exfiltration.
Vulnerability Intelligence
Structured annotation of CVEs, security advisories, and vulnerability reports for models that prioritize and contextualize security findings.
Security Log Classification
Expert labeling of SIEM events, firewall logs, and endpoint telemetry. Ground truth data for models that detect and correlate security incidents.
Red Team Simulation Data
Annotated red team exercise outputs to train detection models against real attack techniques — mapped to MITRE ATT&CK framework.
Nordic Trust Meets Security Expertise
Security annotation requires a different level of trust than most data projects. We operate with strict information controls, domain expertise, and a track record of handling sensitive datasets responsibly.
- Security-cleared annotation teams available
- NDA-protected workflows for sensitive data
- Air-gap and on-premise options
- GDPR-compliant by default
- MITRE ATT&CK framework familiarity
- EU data residency guaranteed
Discuss Your Security Data Requirements
Security Requirements Review
1 business day
Data Classification & NDA
Same-day execution
Pilot Annotation
72-hour turnaround
Quality Validation
IAA & accuracy report
Request a Security Dataset Pilot
Confidential evaluation with your actual data requirements