Agentic Validation: How AI Agents Turn Cloud Alerts into Proven Attack Paths
30
11:00 AM - 12:00 PM
A cloud alert your team has not validated is not a finding. It is a guess with a severity score attached, and your CSPM will generate more of these guesses this week than your team can validate this quarter.
Detection got automated a decade ago while validation never did, and that gap is where real attack paths hide.
Prakash Ashok, Head of Security, and Garima Maithani, AI Transformation & Strategy Engineer at Strobes, will run this live where an agent picks up a real alert, attempts the exploit itself, and returns a verdict instead of a severity grade.
What we'll cover:
1 - The cloud alert problem: why most CSPM and scanner findings are noise, and why manual validation stopped scaling long before your team noticed
2 - How AI agents validate alerts autonomously, walking the full loop from ingest to enrich to validate to act, and where human judgment sits inside it
3 - Live: an agent picks up a cloud alert, attempts exploitation in the environment, and returns a verdict of real or false positive with evidence attached
4 - Chaining validated findings into full attack paths, and why a toxic combination of three medium findings beats the critical CVE at the top of your queue
5 - The compliance angle: agent-generated exploitation evidence that gives auditors proof instead of screenshots and closes audit cycles faster
Who should attend:
- CISOs and security leadership
- Heads of Vulnerability Management
- Cloud security leads and architects
- Teams running AWS, Azure, or GCP at scale
- Security leaders in fintech, SaaS, and healthcare
30 to 45 minutes of open content. Live Q&A at the end.
Recording goes out within 24 hours to everyone who registers, whether you attend live or not.
If your queue of unvalidated alerts is older than your last audit, this webinar is for you.
Speakers
Prakash Ashok
Head of Security
Prakash is the Head of Security at Strobes, working across the tools and pipelines that power modern security programs, including cloud (AWS, Azure), application security, containers, CI/CD, and agentic AI.
He focuses on scaling security and compliance through automation and AI-assisted operations, with experience in threat simulation and vulnerability management.
In this session, he will share how security teams can operationalize AI-driven pentesting within real-world pipelines and make it work at scale.
Garima Maithani
AI Transformation and Strategy Engineer
Garima Maithani is an AI Transformation and Strategy Engineer helping enterprises adopt AI at the intersection of strategy, governance, and cloud security.
Her work spans agentic AI development for security use cases, application security lifecycle management, and DevSecOps for cloud workloads. She specializes in operationalizing AI governance, mapping ISO 27001, SOC 2, GDPR, and HIPAA requirements onto real AI and cloud deployments, so enterprises can scale AI without compromising compliance or audit readiness.
30
11:00 AM - 12:00 PM