Beyond The Mythos Effect: How Frontier AI Is Changing Application Security
Why machine-speed vulnerability discovery is forcing security teams to rethink exploitability, prioritization, and defense.
Everyone is talking about Mythos.
But Mythos is not the story.
The real story is what Mythos represents: a new generation of frontier AI models capable of accelerating vulnerability discovery, exploit validation, and attack-path analysis at unprecedented speed.
For attackers, this changes the economics of exploitation.
For defenders, it raises a more urgent question:
How do you decide what matters before attackers do?
As AI compresses the time between vulnerability discovery and exploitation, traditional AppSec approaches are being put under pressure. Security teams already struggle with remediation backlogs, noisy findings, and prioritization challenges. More discovery alone does not solve the problem.
Join Appknox experts Harshit Agarwal and Raghunandan J, moderated by Appknox founder and security researcher Subho Halder, for a practical discussion on what frontier AI means for application security, why exploitability is becoming more important than severity, and what security leaders need to do next.
Questions we will answer
What exactly did Mythos demonstrate, and why are security leaders paying attention?
Does frontier AI make attackers more dangerous, or simply faster?
How is AI changing vulnerability discovery, exploit validation, and attack-path analysis?
Why are traditional severity scores becoming less useful?
How should AppSec teams think about exploitability in an AI-driven world?
Why are mobile applications particularly exposed?
What should CISOs and security leaders change over the next 12 months?
Who this is for
CISOs and security leaders responsible for managing cyber risk
Heads of Application Security and Product Security
DevSecOps leaders responsible for secure software delivery
Security Architects building risk-based security programs
Engineering and security leaders managing vulnerability prioritization and remediation
If you are responsible for deciding what gets fixed, when it gets fixed, and why it matters, this session is for you.
You will leave with
A practical understanding of what Mythos means for application security
A framework for evaluating exploitable risk in an AI-driven world
A clearer view of how frontier AI is changing attacker economics
Immediate actions to strengthen your application security program
Insights into how leading security teams are adapting to machine-speed threats
Live demonstration
See how modern AppSec teams can move beyond vulnerability discovery to identify, validate, prioritize, and remediate exploitable risk faster.
Speakers
Harshit Agarwal
CEO, Appknox
Harshit works with security leaders globally to help organizations reduce exploitable risk across their mobile and application ecosystems while navigating the rapidly evolving AI security landscape.
Raghunandan J
Head of Product & Security Research, Appknox
Raghunandan leads product innovation and security research at Appknox, helping shape how organizations approach exploitability, prioritization, and mobile application security in an AI-driven world.
Subho Halder
Founder, AI x Security | Former CEO & Co-Founder, Appknox
A mobile security researcher, entrepreneur, Black Hat trainer, and former CEO of Appknox, Subho has spent more than a decade helping secure banking, payments, and enterprise applications. He brings a unique perspective on how AI is reshaping both security research and application security programs.
The future of AppSec is not about finding more vulnerabilities.
It is about identifying and reducing exploitable risk faster than attackers can operationalize it.