Chewhacker
Chewhacker entered the cyber security world in 2020, diving head first into cyber threat intelligence and quickly developing a passion for understanding adversary behaviour. While her work now spans multiple areas of security, CTI and adversary emulation remain her favourite playgrounds.
Outside of work, she can usually be found hunting for her next mechanical keyboard, spending time with her sausage dogs, trying to obtain more sausage dogs, or making friends with people so she can hug their sausage dogs. After assembling badges at past BSides Canberra events, she discovered a new hobby that escalated into building a robotic, AI enabled cyber security dog — because every good defender deserves a loyal companion.
Session
Turning the whimsical charm of a Pwnagotchi into a fully mobile, AI‑enabled robotic dog is more complex than strapping a Raspberry Pi to a chassis and calling it a day. This talk explores the challenges behind creating Wi‑Fido—a roaming, autonomous, cybersecurity companion that can literally sniff out trouble.
We’ll examine the hurdles encountered during this evolution: adapting a traditionally stationary, packet‑sniffing program into a faithful friend capable of continuous, context‑aware wireless monitoring; integrating AI‑driven decision‑making to distinguish between benign and suspicious signals.
Additional challenges include sharing localised data with an LLM, integrating robot interactions, and ensuring Wi-Fido's behavior remains transparent and interpretable—because no one wants a black‑box robot dog silently judging their Wi‑Fi hygiene.
Attendees will leave with insights into the coding, AI models, and design philosophies that shaped Wi‑Fido—and practical lessons learned in turning a traditional Wi‑Fi capture workflow into a four‑legged, tail‑wagging cybersecurity assistant that makes network defense more effective and a lot more fun.