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Cybersecurity Use Case

Transform Cybersecurity Sales with AI-Driven Intelligence

From threat landscape analysis to personalised security solutions - revolutionize how you approach cybersecurity sales.

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STEP 1 - DATA COLLECTION
Data Sources

Breach News

Always-on breach news monitoring automatically tracks security incident reports, threat intelligence coverage, and industry-specific cybersecurity news affecting your prospects in real time.

Google News
Cybersecurity Insiders
Cybersecurity Dive
The Hacker News

Google News

STEP 2 - DATA PROCESSING
Data Processing Engine

Every buying signal—enriched and made actionable.

Processing Unstructured Data

Raw signals become structured intelligence

Transform raw cybersecurity signals from multiple sources into structured, analyzable data formats using advanced NLP and pattern recognition. Every fragment of data is cleaned, categorized, and prepared for analysis.

Data Processing Visualization

Uncovering Sales Intent

Finding the buying signals that matter

Identify buying signals and urgency indicators from security incidents, job postings, and technology changes that suggest procurement readiness. We detect when companies are actively seeking security solutions.

News
Tech
LinkedIn
Breach
Reviews
Sales Intelligence
Unified Data Hub

The Voice of All Things ― Unified Intelligence

Finding Target Lead Info

Connecting signals to decision makers

Match security events and organizational changes to specific decision makers and stakeholders within target companies. Know exactly who to reach out to and when they're most receptive.

🔍 Looking for person in target company

John Smith - CISO at TechCorp

Recently posted about security challenges

3 previous roles at similar companies

Finding Target Lead Info...

Organising Sales Intelligence

Every buying signal—enriched and actionable

Synthesize processed data into actionable sales insights with personalised messaging, timing recommendations, and competitive positioning. Turn raw intelligence into revenue opportunities.

Sales Intelligence Generated

4 actionable insights ready

John Chen

TechCorp

CISO

High
48h

Ransomware attack + budget expansion

Confidence
92%

Sarah Williams

FinanceFirst

VP Security

Medium
Tue 10AM

CVE affecting stack + tool dissatisfaction

Confidence
87%

Mike Rodriguez

HealthSystem

IT Director

Critical
ASAP

New role + healthcare breach trend

Confidence
95%

Lisa Park

CloudTech

Security Mgr

Low
2 weeks

Tool research + cloud migration

Confidence
73%
Ready for Outreach
STEP 3 - DATA OUTPUT
Sales-Ready Intelligence
View CSV

Every lead enriched with actionable intelligence.

Transform raw cybersecurity signals into structured sales intelligence with 7-11-4 framework recommendations.

LeadSales SignalSales Insight7-11-4 Recommendation
John Chen
CISO @ TechCorp
j.chen@techcorp.com
Recent ransomware attack in their sector
Posted 3 security engineer roles
High urgency for endpoint protection
Budget expansion detected
Decision window: 30-45 days
7-11-4 Framework:
Target: 7 hours across 11 touchpoints
Sarah Williams
VP Security @ FinanceFirst
s.williams@financefirst.com
CVE-2024-1234 affects their stack
Competitor tool rated poorly
Compliance deadline approaching
Current solution dissatisfaction
Decision window: 60-90 days
7-11-4 Framework:
• Online Direct: Compliance email, demo request
• Online Indirect: Whitepaper download, newsletter
• Offline Direct: Advisory call, lunch meeting
• Offline Indirect: Compliance guide, analyst report
Target: 7 hours across 11 touchpoints
Mike Rodriguez
IT Director @ HealthSystem
m.rodriguez@healthsys.com
New in role (30 days)
Industry breach increase 45%
Looking to make early impact
Healthcare compliance focus
Decision window: 15-30 days
7-11-4 Framework:
• Online Direct: LinkedIn congratulations, intro call
• Online Indirect: Healthcare case study, video demo
• Offline Direct: Coffee meeting, quick wins call
• Offline Indirect: Success stories, peer referrals
Target: 7 hours across 11 touchpoints

Real-time intelligence • 7-11-4 framework optimization • Automated next-step recommendations

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