

Antara Mane
SecureNexus Vertical Lead
Mumbai, India
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Antara is a multidisciplinary Cybersecurity Leader, Red Teamer, Strategist, and Product Innovator, known for delivering secure, scalable, and business-aligned solutions across BFSI and enterprise sectors. As SecureNexus Vertical Lead at XBiz TechVentures, she heads a 25+ member cybersecurity team and drives end-to-end execution of projects spanning red teaming, GRC audits, DevSecOps, cloud hardening, and application security.
She has conducted over 200 VAPT assessments across web, mobile, APIs, network, and cloud environments, and built platforms like ASM, SCA, and CSPM to shift clients from reactive to proactive security. Her expertise extends to phishing simulations, malware assessments, and incident response evaluations.
Beyond hands-on execution, Antara shapes business strategy by planning the annual cybersecurity roadmap, scaling service offerings, mentoring talent, and aligning internal processes to standards like ISO 27001, PCI-DSS, IRDAI, RBI, HIPAA, and NIST. She played a key role in achieving CERT-IN empanelment and in building proactive GRC maturity models with cyber risk scoring, threat profiling, policy authoring, and audit frameworks.
A respected thought leader and speaker at OWASP AppSec, DevSecCon, and InfosecGirls, Antara contributes actively to the security community via Medium and GitHub. Her leadership spans technical depth, client advisory, board-level risk communication, and enterprise-grade product development.
Her philosophy: “Security isnʼt a checkbox — itʼs a culture. And it must evolve faster than the threats it defends against.”
Area of Expertise
Topics
Attack Surface Monitoring - Safeguarding Digital Landscapes via AI
This session presents the importance and methods of attack surface monitoring in modern cybersecurity. It defines attack surfaces as potential entry points for unauthorized access and explores monitoring tools like vulnerability scanners and threat intelligence feeds. Emphasizing the need for real-time visibility and automation, the paper underscores the benefits of proactive monitoring for threat detection and incident response. It concludes by advocating for the integration of attack surface monitoring into comprehensive cybersecurity strategies to effectively mitigate risks.
Autonomous Attack Surface Mapper & Risk Hardener: Explainable AI for Cyber Resilience
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
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