Webinar
AI-driven Innovations for Accurate Risk evaluation of DevSecOps Vulnerabilities
October 30, 2025 | 4PM - 5PM IST
The rapid adoption of DevSecOps has accelerated software delivery, but it has also expanded the attack surface, making vulnerability management a complex and continuous challenge. Traditional risk evaluation approaches often rely on static scoring systems that fail to capture the dynamic and contextual nature of modern threats.
This talk explores how AI-driven innovations can transform the way organizations evaluate and prioritize vulnerabilities in DevSecOps pipelines. By leveraging machine learning, natural language processing, and predictive analytics, we can correlate vulnerability data with exploitability signals, business context, and threat intelligence to move beyond simplistic severity ratings.
The session will highlight emerging techniques such as adaptive risk scoring, automated false-positive reduction, and AI-powered correlation of vulnerabilities with real-world exploitation likelihood. Attendees will gain insights into how integrating AI into vulnerability management workflows can enable more accurate, context-aware, and proactive risk evaluation, ultimately improving resilience and accelerating secure software delivery.
Key Learnings:
Limitations of Traditional Risk Scoring : Why static metrics like CVSS alone are insufficient for dynamic, real-world DevSecOps environments
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AI-Powered Contextual Analysis : Using ML and NLP to enrich vulnerability data with exploitability signals, business impact, and code context
Adaptive Risk Scoring Models : How AI enables continuous, context-aware recalibration of risk scores rather than relying on fixed thresholds
Noise Reduction & Prioritization : Leveraging AI to filter false positives, cluster related vulnerabilities, and prioritize what truly matters
Proactive & Predictive Defense : Using AI to forecast which vulnerabilities are likely to be exploited, enabling preemptive remediation
REGISTER NOW
The rapid adoption of DevSecOps has accelerated software delivery, but it has also expanded the attack surface, making vulnerability management a complex and continuous challenge. Traditional risk evaluation approaches often rely on static scoring systems that fail to capture the dynamic and contextual nature of modern threats.
This talk explores how AI-driven innovations can transform the way organizations evaluate and prioritize vulnerabilities in DevSecOps pipelines. By leveraging machine learning, natural language processing, and predictive analytics, we can correlate vulnerability data with exploitability signals, business context, and threat intelligence to move beyond simplistic severity ratings.
The session will highlight emerging techniques such as adaptive risk scoring, automated false-positive reduction, and AI-powered correlation of vulnerabilities with real-world exploitation likelihood. Attendees will gain insights into how integrating AI into vulnerability management workflows can enable more accurate, context-aware, and proactive risk evaluation, ultimately improving resilience and accelerating secure software delivery.
Key Learnings:
Limitations of Traditional Risk Scoring : Why static metrics like CVSS alone are insufficient for dynamic, real-world DevSecOps environments
AI-Powered Contextual Analysis : Using ML and NLP to enrich vulnerability data with exploitability signals, business impact, and code context
Adaptive Risk Scoring Models : How AI enables continuous, context-aware recalibration of risk scores rather than relying on fixed thresholds
Noise Reduction & Prioritization : Leveraging AI to filter false positives, cluster related vulnerabilities, and prioritize what truly matters
Proactive & Predictive Defense : Using AI to forecast which vulnerabilities are likely to be exploited, enabling preemptive remediation
Speaker
Sumanth Naropanth
Black Hat Trainer
Founder & CEO, Gauntlet Technologies Pvt Ltd
Sumanth Naropanth is a business and technical leader in cybersecurity. He is the Founder & CEO of Gauntlet & Deep Armor. He previously held incident response, security development and managerial roles at Sun Microsystems, Palm & Intel. Sumanth has a Masters degree in Computer Security from Columbia University. He regularly speak and teach at security conferences globally, including at Black Hat (USA, Europe, Asia and Middle East/Africa), AppSec USA, NASSCOM, etc.
Maithri Nadig
Principal Architect
Gauntlet Technologies Pvt Ltd
Maithri is the Principal Architect at Gauntlet. With strong expertise in web application and cloud security, Maithri leads the architecture and customer experience efforts. As one of the founding members of the Gauntlet team, she has contributed code across the entire software stack. Maithri regularly speaks at security events. In the recent years, she has presented her work at the ‘Day of Shecurity’, The Security Fest (Gothenburg, Sweden), SACON, Wicked6, Cloud Security Alliance Annual Summit, and various other conferences.
What To Expect
Framing the Challenge
How DevSecOps teams detect, evaluate, and respond to vulnerabilities—not just by flagging them, but by understanding which ones truly matter, and why
Hands-On Knowledge
Gain knowledge and understand the practical skills, tools, and real-world workflows involved in applying AI to enhance vulnerability risk evaluation in DevSecOps pipelines
Ask the Experts
Join an interactive Q&A session to discuss risk scoring, automated false-positive reduction, and AI-powered correlation of vulnerabilities
Actionable Guidance
Walk away with insights into how integrating AI into vulnerability management workflows can enable more accurate, context-aware, and proactive risk evaluation
RSVP Now
What To Expect
Framing the Challenge
How DevSecOps teams detect, evaluate, and respond to vulnerabilities—not just by flagging them, but by understanding which ones truly matter, and why
Hands-On Knowledge
Gain knowledge and understand the practical skills, tools, and real-world workflows involved in applying AI to enhance vulnerability risk evaluation in DevSecOps pipelines
Ask the Experts
Join an interactive Q&A session to discuss risk scoring, automated false-positive reduction, and AI-powered correlation of vulnerabilities
Actionable Guidance
Walk away with insights into how integrating AI into vulnerability management workflows can enable more accurate, context-aware, and proactive risk evaluation
RSVP Now