Threat Detection & Analysis
- Phishing: header + payload analysis
- Malware: static + behavioural signature matching
- Network: baseline deviation via ML
DataHarmony
AI Cybersecurity
NetSight AI
Network Intelligence
AI4FOI
FOI Management
Threat Detection & Automated Response
Optimize Your Cybersecurity with Advanced AI
DataHarmony gives security teams the tooling to close detection and response gaps with GPT and LLM-powered solutions — real-time threat detection, automated incident response, SOAR, user behaviour analytics, and predictive threat forecasting in one platform.
17 Detection Use Cases
8 Security Domains
GPT & LLM Powered
Sub-Second Detection
Predictive Intelligence
The Detection Gap
204 Days. $4.45M. That's the Cost of Manual Detection.
SIEM rules miss novel attack patterns. Analyst queues overflow. Mean time to detect averages 204 days — and by then, the average breach costs $4.45M. DataHarmony runs LLM-based classification continuously, without analyst bottlenecks.
$4.45M
Average breach cost — IBM Cost of a Data Breach Report 2023
204
Mean time to detect (MTTD) — industry average across enterprise environments
74%
Of breaches involve phishing, credential theft, or human error — Verizon DBIR 2023
3.5M
Unfilled cybersecurity roles globally — ISC² Workforce Study 2023
DataHarmony Live Feed
Phishing Attempt
192.168.1.24 → finance@company.com
Anomalous Login Behaviour
user: j.smith — unusual geo location
Vulnerability Detected
CVE-2024-1234 — critical patch pending
Malware Signature Match
Ransomware pattern in endpoint process
AI Engine Active — 3,847 events analysed today · 99.97% uptime
Core Capabilities
8 Pillars · 17 Detection Use Cases
DataHarmony runs GPT-4 and Claude across eight security domains — each domain exposes structured tool-calling APIs so SIEM, SOAR, and ticketing integrations require no custom code.
Incident Response
- Auto-triage: severity classification in <1s
- CTI feed ingestion: MISP, STIX, TAXII
Vulnerability Management
- AI code review & scanning
- Patch automation: CVE → ticket → deploy pipeline
SOAR
- Workflow automation & orchestration
- Playbook runtime: 300+ pre-built, fully customisable
User Behaviour Analytics
- UEBA: deviation from baseline identity behaviour
- Fraud detection & prevention
NLP for Security
- NLP reports: CISO, board, and regulatory formats
- Threat hunting: natural language query interface
Training & Awareness
- Training: LLM-generated phishing simulations per role
- Knowledge base: auto-updated from resolved incidents
Predictive Analysis
- Risk scoring: continuous asset-level risk quantification
- Threat forecasting: ML model on global feed data
Measured Outcomes
Measurable Security Outcomes — Not Just Dashboards
Every DataHarmony deployment is benchmarked against MTTD, MTTR, false positive rate, and analyst hours saved — with quarterly reporting against your baseline.
Seconds
MTTR Reduction
SOAR playbook execution is triggered automatically on alert classification — no analyst touch required for L1 and L2 incidents.
99.2%
UEBA Accuracy Rate
Identity baseline modelled per user across login times, geo, device, and data access. Deviations flagged with confidence score and supporting evidence.
Zero
Manual Analyst Steps Eliminated
300+ pre-built playbooks cover containment, eradication, and notification steps. Fully auditable execution log for each run.
24/7
Continuous Monitoring Coverage
Ingests MISP, STIX/TAXII, and vendor CTI feeds continuously. Correlates against your asset inventory and flags exposure before exploitation.
Request a Technical Proof of Concept
We'll run DataHarmony against a sample of your log data and show you MTTD, false positive rate, and SOAR coverage — before you commit to anything.
enquiries@datacynical.com · 1 Business Day Response · Singapore & Global