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thoughts, updates, and insights from the superagent team.
Introducing Dependency Validation
Agents investigate dependency vulnerabilities in your application and test the proposed fix, with evidence delivered directly to your pull request.
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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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The OpenAI / Hugging Face incident and the case for autonomous security
OpenAI evaluation agents reached Hugging Face through a chain of familiar software and access-control failures. The incident shows why security has to connect detection, investigation, and repair.
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Building a Security Factory with Superagent and Cursor
Superagent acts as the attacker and Cursor as the executor, turning verified findings into reviewed pull requests in minutes.
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When a Trusted Contributor Gets Compromised
We analyzed 8,897 evidence-backed GitHub posture findings to measure how repository controls limit a compromised contributor.
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