Co-Founder & co-CEO, Tech & Product, Humanbound
We gave nine models a pricing agent's job and a competitor page one link away from a trap. Four leaked a confidential unit cost on every run. Here is what 1,350 runs say about how much a system-prompt guardrail actually buys you.
We released humanbound-firewall under Apache-2.0. A multi-tier runtime defense for AI agents, with each layer inspectable, escalating on uncertainty, and trainable on your own adversarial test data.
Agent security incidents keep sharing one root cause: agents deployed without adversarial testing. Enforcement is needed, but it is phase 3 of a lifecycle most organizations are entering at phase 1.
AI agent security won't be adopted through better dashboards. It'll be adopted when it disappears into existing workflows. Embed adversarial testing into your terminal via MCP - security becomes a conversation, not a context switch.
Why point-in-time audits fail, and what a mature AI security programme actually looks like. A continuous assurance framework addressing visibility, testing, and operations gaps in enterprise GenAI deployments.
