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Demetris Gerogiannis

Co-Founder & co-CEO, Tech & Product, Humanbound

Posts by Demetris Gerogiannis

Infographic titled 'The Humanbound Firewall: A Multi-Tier Defense for AI Agents' on a dark chalkboard-style background with white and orange text. The layout is divided into five sections. Top-left, 'Why Single-Layer Guardrails Fail' highlights three problems: The Context Gap, Multi-turn Blindness, and The Novelty Lag, each with hand-drawn icons. Below it, 'The 4-Tier Defensive Stack' shows a layered pyramid diagram with four tiers: Tier 0 (Sanitization), Tier 1 (Generic Attack Detection using ensemble detectors like DeBERTa), Tier 2 (Domain-Specific Classifiers with normal traffic and adversarial pattern models plus a streaming LLM), and Tier 3 (The LLM Judge). Arrows show data flowing upward through the tiers. Top-right, 'The Continuous Test-and-Defend Loop' illustrates a cycle where the humanbound CLI/SDK engine runs adversarial tests producing transcripts, which become labeled training data. Below it, 'The Feedback Loop' shows how that data refreshes the Tier 2 classifier inside humanbound-firewall, which protects the live agent in production. Bottom-right, 'Open Source vs. Managed Platform' contrasts the Apache-2.0 licensed open-source firewall (offering transparency and auditability) with the managed platform for CISOs (providing continuous testing, posture scoring, compliance evidence, and cross-deployment intelligence). A NotebookLM logo appears in the bottom-right corner.
AI Security
May 11, 2026

Why we open-sourced humanbound-firewall

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.

Diagram showing AI agent security lifecycle from testing to enforcement and monitoring
AI Security
Mar 10, 2026

Why Your AI Agent's Biggest Vulnerability Isn't a Missing Firewall

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.

Security engineer working in a terminal with AI-assisted tools integrated into their workflow
AI Security
Feb 26, 2026

You're Still Alt-Tabbing to a Security Tool

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.

Abstract visualization of AI systems integrated into an enterprise security perimeter
AI Security
Feb 25, 2026

Securing AI at Enterprise Scale — A Continuous Assurance Framework for the GenAI Era

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.

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