Impact in 2026
- Security-tested production LLMs, chatbots and agents — demonstrating jailbreaks and critical attack paths, including authentication and race-condition flaws, poisoned-corpus prompt injection that bypassed guardrails, and an overly permissive agent sandbox that enabled root-level RCE and persistent data exfiltration.
- Hands-on with hardware and IoT: rooted and backdoored webcams, sniffed and analysed radio signals (BLE, Bluetooth Classic, Wi-Fi, Zigbee), and developed the research into an IoT exploitation masterclass delivered as co-trainer at DEF CON.
- Helped hundreds of engineers improve their security workflows by teaching and implementing agentic, deterministic and manual techniques — correlating and filtering signals across code, configuration and production to shorten the time from discovery to proven exploit.
- Developed current research into paid client trainings: AWS Security in the Age of AI, LLM and Agentic Hacking, From Secure Code Review to Hackbot, and a Threat Modelling workshop.
- Discovered compromised containerised workloads in AWS-hosted client applications using threat hunting, code review and cloud security controls.
- Assessed and designed cloud IAM architectures and account/project structures across AWS, Google Cloud and Nebius — separating production, development, sandbox and centralised logging environments to support separation of duties.
Career
- 2026 — now
Founder & Security Researcher · Luda Hex
- 2025 — now
Offensive & Software Security Specialist · Xebia
- Penetration tests, architecture reviews, threat modelling and targeted research across changing technology stacks.
- Bring an offensive perspective into architecture and engineering discussions, where teams naturally understand the intended path better than the ways it can be misused.
- Share findings through engineering talks, client workshops and hands-on training, adapting the depth to the people in the room.
- Create new courses and workshops centred on secure engineering, cloud and AI.
- 2024 — 2025
IT Security Lead · ANVA
- Led the introduction of secure engineering practices from design to deployment and runtime, where previously only a governance- and policy-based strategy was in place.
- Brought secure code review into automated pipelines and local development workflows so engineers received feedback while they were still working on the code.
- Connected signals across applications, networks, customer support and employee experience so isolated warnings could be recognised as part of the same incident.
- 2023 — 2024
Application & Offensive Security Consultant · Xebia
- Worked with Lely to bring security into agricultural robotics engineering, where connected-device weaknesses could affect operational and physical safety. Attack surface covered embedded applications, local wireless networks connecting to remote systems, and development environments.
- Built and delivered practical training in firmware reverse engineering, cloud and local network exploitation, and attacks against wireless devices.
- 2020 — 2023
Security Engineer · SEEK
- Helped grow an early threat-intelligence capability into what is now a dedicated function.
- Hosted capture-the-flag exercises in which developers practised exploiting the weaknesses they were learning to prevent.
- Attack-surface expert on the offensive security team — social engineering, physical pentesting, and remote technical systems, from street to corporate network to server room.
Earlier experience spans 10+ years, including software development at
SEEK, building a full-stack product as a founder at Yolko, and teaching
at RMIT and the University of Melbourne.
Independent research
AI-assisted security research & LLM guardrail testing
Custom test harnesses with per-experiment cost tracking. Moving beyond jailbreak testing to measuring the effectiveness of cloud-provided guardrails and open-weight safety classifiers. Comparing security workflows across Opus, Sonnet, Sol, GLM and more — connecting an organisation’s security objectives with the logic actually implemented in their code.
Wi-Fi motion sensing & radio frequency intelligence
Programming ESP32 chips and experimenting with channel-state information for motion sensing. Analysing smart "spy" glasses and cheap electronics and the potential for detecting these devices. Exploring what ordinary wireless signals can reveal about people and critical infrastructure — feeding into a new IoT course.