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AI security insights, research, and product updates from the Humanbound team.

Techy cover for the Humanbound Agent Attack Scenario Library, showing a test_pack.yaml code card that maps an agent failure to an OWASP Agentic category and the guardrail that closes it, with Agent Goal Hijack, Tool Misuse, and Memory Poisoning tags.

Beyond AI Security: The Rise of AI SecOps: Promptfoo + Humanbound

Promptfoo and Humanbound aren't competing for the same slot. Here's how Promptfoo's CI red teaming and Humanbound's continuous, compliance-mapped monitoring plug into each other, including how Promptfoo's scan results can train the Humanbound Firewall directly.

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Sofia Aliferi
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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.

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Demetris Gerogiannis
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Beyond Moderation: Why LLM Systems Need a Policy Layer

Moderation APIs catch harm and injection attempts but fail to enforce domain-specific policy. A cross-domain evaluation shows why production LLM systems need both moderation and policy reasoning layers.

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Spyros Briakos
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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.

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Demetris Gerogiannis
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