Thoughts, updates, and insights from the Superagent team.
You've enabled Azure Content Safety or Llama Guard. Your AI agent still isn't secure. Here's why content filtering isn't enough when your AI takes actions.
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.
In 2022, Simon Willison argued that 'adding more AI' was the wrong fix for prompt injection and related failures. He was mostly right at the time. What people tried then were brittle ideas that either overblocked or were easy to trick. This post explains what has changed since, what has not, and why builders can now use AI to meaningfully defend their agents in production.
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.
The development of sophisticated Large Language Models has introduced alignment faking as a critical challenge to AI safety. This strategic deception fundamentally complicates traditional safety measures, necessitating robust technical countermeasures.
Every developer has preferences. Some love Claude's reasoning approach. Others prefer Cursor's interface and workflow. But you shouldn't have to compromise on security just because you prefer a certain agent. VibeKit's universal agent support provides a consistent security and observability layer that works across all your preferred agents.
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