Founder at ArmurAI.
Speaker
Founder at ArmurAI
Akhil is the Founder at ArmurAI (www.armur.ai) which is backed by Techstars and Outlier Ventures and non-dilutive grants from multiple organizations, builders of swarm-pentest-AI and Vibescan. Also worked as the chief security scientist at SnowCrash Labs - a San Francisco company where my main role was testing AI models for vulnerablities and alignment issues.
Author of the book "Rust for Blockchain Application development" also author of multiple popular cybersecurity courses on the linkedin learning platform, including "finetuning LLMs for security usecases" Published multiple research papers including memory poisoning paper co-published with Ken Huang (author of OWASP LLM Top 10).
In this hands-on workshop you will build an autonomous multi-agent AI attack system in Go — a coordinated team of specialist attacker agents, each with a different role, attacking a target AI system simultaneously. One agent plans the attack strategy. One generates adversarial payloads. One executes against the target. One evaluates responses and decides what to try next. Together they operate as a single autonomous red team that runs, iterates, and improves without human intervention.
You will walk away with a fully working CLI tool, working source code in Go, and attack techniques that most security practitioners have not yet encountered in the wild.