blog
thoughts, updates, and insights from the superagent team.
Introducing DFIP: Faster inference for decision models
PPLX-Decider went from 74.54 ms to 30.14 ms on short yes/no requests. DFIP studies how to reduce decision model latency and where the gains hold up.
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Introducing Security-One 27B
A 27B decision model for always-on security triage across applications, agents, code, and infrastructure. Available through our API or open weights.
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Launching brin.sh — realtime threat detection for agents
Protect your agents from getting hacked. Brin scores everything your agent is about to consume before it does. Free to use, no auth, no SDK, no signup.
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Introducing Superagent Guard
Purpose-trained models that detect prompt injections, identify jailbreak attempts, and enforce guardrails at runtime. Optimized for deployment as a security layer in AI agent systems.
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Shipped: Runtime Redaction and Command-Line Security
The past two weeks brought runtime redaction, a powerful CLI, URL whitelisting, and a developer experience that puts security directly in your workflow. Here's what shipped and why it matters for teams building with AI agents.
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Introducing Superagent — Defend Your AI Agents in Runtime
Today, we are proud to announce Superagent — the runtime defense platform that keeps your AI agents safe from prompt injections, malicious tool calls, and data leaks.
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