Today’s enterprise environments are complex, dynamic, and under constant threat. The attack surface expands every hour as new cloud services, containers, APIs, remote devices, and user accounts come online. Most security tools still rely on fragmented visibility, static scans, and noisy alert systems.

This session introduces an AI-powered platform that reimagines security using real-time telemetry, threat intelligence, and explainable AI. The platform continuously maps your live attack surface, analyzes risks using continuously updated threat feeds, and self-hardens your environment based on clear, explainable priorities.

Think of it as Google Maps + Waze + AutoPilot — but for cybersecurity.

Slide 1: Title Slide
Title: Autonomous Attack Surface Mapper & Risk Hardener
Subtitle: With Explainable Threat Intelligence

Slide 2: The Modern Enterprise Threat Landscape
- Dynamic environments (Cloud, APIs, Containers)
- Siloed visibility, alert fatigue, manual remediation

Slide 3: Real-World Analogy
- The chaotic smart city vs security chaos
- 50 alarms ringing, no context

Slide 4: Our Solution Overview
- Autonomous Mapper + Explainable Risk Engine + Auto Hardener
- Built for dynamic infra, not static scans

Slide 5: Architecture Diagram
- Live telemetry, threat ingestion, explainable ML, remediation loop

Slide 6: Use Case Walkthrough
- Cloud exposure fix
- Identity-based risk remediation

Slide 7: Results
- Faster MTTD/MTTR
- Reduced analyst fatigue
- Compliance-ready audit logs

Slide 8: Blockchain Integration (Optional)
- Immutable logs for risk/fix validation
- Threat intel consensus & provenance