Most banks find out about a breach weeks after it happened. That’s too late.
Cyber threats are now AI‑orchestrated, multi‑vector campaigns. Traditional SIEM can’t keep up. And attackers are even poisoning open‑source threat feeds – a trick called “data scraping poisoning.”
That’s why we built CTIPS (Cyber Threat Intelligence Prediction System) through a 50:50 joint venture between Vairav Technology and Frost Digital Ventures.
Five modules, 44 weeks to full deployment
- Reporting & Visualization – interactive dashboards filtered by event type, severity, industry, geography
- Data Collection – automatically pulls from threat reports, vulnerability DBs, news, ransomware trackers (JSON, XML, PDF, DOCX; real‑time to monthly)
- Secure Storage – AES‑256 encryption, TLS 1.3, RBAC, MFA, full audit logs
- Data Processing – cleans, normalizes, extracts TTPs (tactics, techniques, procedures)
- AI/ML Prediction Engine – supervised classification + unsupervised anomaly detection + temporal pattern analysis
We also built in resilience against data poisoning: redundant sources, validation algorithms, and anomaly detection.
What you gain
- 10x more threat intelligence sources – automated, not manual
- MTTD (Mean Time to Detect): under 8 days – that’s a 60%+ reduction
- MTTR (Mean Time to Respond): under 4 days – 65% faster
False positives cut by 40‑60% – less alert fatigue
Ready to pilot?
We recommend starting with a specific threat category – ransomware or supply chain attacks. You’ll see measurable ROI within 90 days. Plus, you get user manuals, API docs, QA test plans, and a clear RACI chart.