SEC536: Adversarial AI - Penetration Testing AI Systems

In-Person
In-Person
Creating data for CTFs and course materials can be complex and time consuming and we’ve done a lot of it! We will walk you through some of the highs and lows of our experiences and give you practical tips and tricks to learn from our mistakes - like how to get accurate location data, what data is useful to generate, and how many devices do you really need?
Kathryn Hedley, Director – Khyrenz Ltd
Sarah Edwards, Head of DFIR - iVerify
In-Person
This session will explore how advanced forensic techniques can uncover critical evidence in complex investigations, even when conventional forensic tools fail to identify usable artefacts. Through a real-world case study involving a homicide investigation, attendees will learn how investigators recovered and analysed data.
Jean-Philippe Noat, Senior Customer Engagement Manager - Cellebrite
In-Person
As DFIR teams have strengthened their capabilities for investigating encrypted messaging platforms such as Signal and WhatsApp, threat actors are increasingly exploring alternative communication channels that operate beyond traditional network visibility. Meshtastic, a LoRa-based off-grid mesh networking platform, represents one such emerging technology that security and forensic professionals should be prepared to encounter. Drawing on a real-world case study involving the use of Meshtastic devices for decentralized communications, this session will examine how investigators can identify, acquire, and analyse evidence from non-traditional communication technologies. Join us to gain practical insights into the challenges of reconstructing communication activity in environments where conventional network monitoring and forensic approaches offer limited visibility.
Lorenzo Dina, Innovation & R&D Manager – Bit4Law
In-Person
Smartphones continuously detect nearby Wi-Fi, Bluetooth, and cellular signals, leaving behind transient system artefacts that can reveal a device's movements, even when traditional location data is unavailable. How are forensic investigators able to extract and analyse these artefacts to reconstruct location history and establish device co-location? Through a practical case study, you will learn how wireless signal data stored in memory can be transformed into powerful investigative evidence, with significant implications for both digital forensics and privacy.
Alex Coley, Digital Forensics Specialist - MSAB
In-Person
As AI transforms offensive security, incident response teams face a different challenge: How to leverage AI without compromising forensic accuracy. In IR, hallucinations are not acceptable, yet the potential to accelerate investigations is significant. Oren explores how a skills-and-agents pipeline was developed to automate browser forensics, accelerating artefact triage and timeline reconstruction while maintaining evidential integrity. You will learn how the system was validated, where it failed, and the safeguards implemented to minimise hallucinations. Through real-world lessons learned you will gain a practical view of where AI-assisted incident response is ready for production, and where human expertise remains essential.
Oren Biderman, Head of Threat Detection – Daylight Security
Amnon Kushnir, Director of Security Services – Daylight Security
In-Person
Salt Typhoon is widely tracked as a Chinese espionage actor, yet host-level visibility into its operations remains rare. In this session, Roey will take you inside a real intrusion at a scientific government organization, tracing the investigation from compromised Linux systems through to Windows-based collection and exfiltration activities. The investigation uncovered disguised backdoors, trojanized SSH utilities, proxy tooling, credential theft, remote execution, custom malware, and the staged collection of sensitive scientific data. Rather than examining individual malware samples in isolation, Roey will reconstruct the intrusion as it unfolded, showing how each forensic lead revealed the next phase of the operation.
You will gain practical insights into Salt Typhoon's tradecraft and how DFIR, malware analysis, and threat intelligence can be combined to uncover and understand sophisticated espionage activity.
Roey Gideon Shua, Security Researcher - Check Point Software Technologies
In-Person
Modern iOS devices generate and store a wealth of image-related artefacts behind the scenes, many of which can provide valuable investigative insights but are often overlooked during forensic examinations. Join us to explore how these artefacts can be identified, analysed, and correlated with other sources of device data to uncover their origin and significance. Through practical examples, the presentation will demonstrate how UUID-named images can be linked to App Intent and Biome data, and how complex data structures such as Protobuf, bplist, and Base64 can be decoded and interpreted. You will gain a deeper understanding of image provenance, the challenges of attributing images to specific user actions, and the techniques required to extract meaningful evidence from these often misunderstood artefacts. By the end of the session, you will have practical methodologies that can be applied directly to mobile forensic investigations and a clearer understanding of the evidential value—and limitations—of these iOS artefacts.
Elliot Glendye, Training Delivery Manager - Control-F Digital Forensics
In-Person
In-Person
In-Person
Host-level triage remains one of the most time-consuming aspects of incident response, creating significant challenges during large-scale investigations. In this session, I will share our ongoing work to automate end-to-end triage using agentic swarms capable of analysing systems, tagging evidence, and generating investigation-ready outputs. Drawing on real-world experience, I will explore the challenges, design considerations, and lessons learned from applying AI-driven automation to incident response, providing practical insights for those looking to build similar capabilities.
Matias Bevilacqua, Incident Response manager, EMEA Mondiant (Google)
In-Person
DFIR has changed dramatically over the past twenty years, shaped by evolving technologies, emerging threats, and lessons learned in the field. In this session, Heather will reflect on the experiences, challenges, and insights that have influenced my approach to investigations, incident response, and leadership throughout her career. Through practical observations and lessons learned, she will explore what it takes to adapt, improve, and remain effective in an ever-changing cybersecurity landscape.
Heather Barnhart, Curriculum Lead, Digital Forensics and Incident Response & Fellow – SANS Institute
In-Person
In-Person
Registration: All students who register for a 4–6 day course will be eligible to play NetWars for free. Registration for this event will be through your SANS Account Dashboard the week of the event.
About DFIR NetWars: Focused on digital forensics, incident response, threat hunting, and malware analysis, this tool-agnostic approach covers everything from low-level artifacts to high-level behavioral observations.
In-Person & Virtual
Registration: All students who register for a 4–6 day course will be eligible to play NetWars for free. Registration for this event will be through your SANS Account Dashboard the week of the event.
About DFIR NetWars: Focused on digital forensics, incident response, threat hunting, and malware analysis, this tool-agnostic approach covers everything from low-level artifacts to high-level behavioral observations.
In-Person & Virtual