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AI Pentesting Webinar Series | FireCompass Turbo Talks
Turbo Talks · Online Talk Series

The AI pentesting and AI safety series for security leaders

Twenty minutes. Live. Triweekly. FireCompass founders, engineers, and advisors on what changes when attacks move at machine speed, and what security teams should do about it.

Live sessions 20 minutes Triweekly 9:00 PM IST / 11:30 AM ET / 7:30 PM GST
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What is Turbo Talks?

Short sessions. Real depth.

Turbo Talks is a free triweekly webinar series from FireCompass. Each session, a founder, engineer, or advisor runs a 20-minute live session on agentic AI pentesting, AI model and agent safety, and how security teams should adapt as attacks move at machine speed.

No slideware marathons. One sharp topic, a working point of view, and time for your questions. Register for any session you want. Miss one, and the recording comes to your inbox.

Meet the Speakers

Founders, engineers, and advisors leading each session

Arnab Chattopadhayay
Arnab Chattopadhayay
Co-founder & VP of Emerging Research, FireCompass

More than 23 years solving hard IT security problems, with leadership roles at British Telecom, Tech Mahindra, iViZ (Synopsys), MetricStream, Capgemini, and IBM. Deep grounding in the engineering behind autonomous offensive security, including the guardrails, cost controls, and oversight models that decide whether an agent is safe to run inside a live enterprise.

Bikash Barai
Bikash Barai
Founder & CEO, FireCompass

Serial security entrepreneur with multiple USPTO patents in network security. Recognised in Fortune's 40-under-40 and a speaker at RSA Conference and TEDx. Earlier founded iViZ, the first company to take penetration testing to the cloud, later acquired by Synopsys.

Ed Adams
Ed Adams
Former CEO, Security Innovation · Advisor, FireCompass

Led Security Innovation as CEO for over 20 years, building it into a leading application security training and services firm. Ponemon Institute Research Fellow and author of See Yourself in Cyber: Security Careers Beyond Hacking. Has presented at RSA Conference, InfoSec World, and hundreds of industry events on risk-based approaches to securing software.

Zak Raxter
Zak Raxter
Senior Solutions Architect, Offensive Security, FireCompass

More than ten years in offensive security, AppSec, and DevSecOps, with security engineering roles at Juniper Square, Prudential Financial, and Mosaic Group. Built endpoint protection, vulnerability management, and internal bug bounty programs from the ground up. Specializes in red teaming, adversary emulation, and incident forensics, with hands-on experience addressing critical vulnerabilities across production applications and services.

Benjamin Lutz
Benjamin Lutz
Director, Sales, FireCompass

Worked with CISOs, AppSec leaders, and engineering executives to build application security programs across SMB and enterprise organizations. Previously spent four and a half years at Veracode, progressing from strategic business development to Senior Enterprise Account Manager. Brings a buyer-focused perspective on evaluating security solutions and reducing software risk without slowing delivery.

Upcoming Session AppSec · Two Decades In

20 Years of AppSec: What AI Changes, and What It Doesn't

Two decades of secure coding, SAST, DAST, and Shift Left, and the same vulnerability classes still reach production. A practitioner's view of what AI genuinely changes in application security, and what stays the same now that both code and attacks run at machine speed.

  • Why the same vulnerability classes still reach production after 20 years of AppSec tooling.
  • What SAST, DAST, and Shift Left actually fixed, and what they never touched.
  • What breaks differently now that both code and attacks run at machine speed.
  • Where AI-native testing adds real depth, and where it is a scanner with an AI label.
Ed Adams
Ed Adams
Former CEO, Security Innovation · Advisor, FireCompass
Thursday, Nov 12, 2026
9:00 PM IST · 11:30 AM ET · 7:30 PM GST
Upcoming Sessions

The full series

Upcoming
NOV 12
2026
Ed Adams
Upcoming
Ed Adams
Former CEO, Security Innovation · Advisor, FireCompass
20 Years of AppSec: What AI Changes, and What It Doesn't

Two decades of secure coding, SAST, DAST, and Shift Left, and the same vulnerability classes keep reaching production. What breaks differently now that both code and attacks run at machine speed.

DEC 03
2026
Bikash Barai
Bikash Barai
Founder
Safe AI Agents: Practical Implementation Strategies for Guardrails, Scope Enforcement and Governance

As offensive AI agents get more capable, control becomes the harder problem. Practical guardrails and governance for deploying them safely.

JAN 24
2027
Bikash Barai
Benjamin Lutz
Bikash Barai & Benjamin Lutz
Founder & Director, Sales
Evaluation Criteria for AI Pentesting Vendors: A Technical Buyer Checklist

Every vendor claims AI now. The technical, operational, and economic questions that actually separate AI-native platforms from scanners with an AI wrapper.

FEB 18
2027
Bikash Barai
Bikash Barai
Founder
How Our AI Reached the HackerOne Top 3 and What We Learned

90 days on live bug bounty programs. 204 valid reports. Top 3 across multiple HackerOne leaderboards, using AI agents alone. What that revealed about AI pentesting today.

Concluded
OCT 01
2026
Zak Raxter
Available online
Zak Raxter
Senior Solutions Architect, Offensive Security
Field Notes from Black Hat & DEF CON 2026: What Changed in the Attacker Playbook?

Black Hat shows where the industry is going. DEF CON shows how attackers plan to break it. Field notes on what shifted this year.

SEP 17
2026
Bikash Barai
Available online
Bikash Barai
Founder
Why Traditional ASM and CTEM Tools Will Fail in the Next 12 Months

AI is collapsing the attacker timeline, exposing "depth debt" in current ASM and CTEM tools. Why the gap compounds, and how to close it.

SEP 10
2026
Arnab Chattopadhayay
Available online
Arnab Chattopadhayay
Co-founder & Distinguished Scientist
Beyond Guardrails: A Technical Deep Dive into AI Model Safety, Agent Safety & Governance

Model alignment is only one part of the problem. A technical look at where agent safety diverges from model safety, and how to govern systems that are probabilistic by design.

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