Show HN: AgentShield SDK – Runtime security for agentic AI applications

Hi HN,

We built AgentShield, a Python SDK and CLI to add a security checkpoint for AI agents before they perform potentially risky actions like external API calls or executing generated code.

Problem: Agents calling arbitrary URLs or running unchecked code can lead to data leaks, SSRF, system damage, etc.

Solution: AgentShield intercepts these actions:

– guarded_get(url=…): Checks URL against policies (block internal IPs, HTTP, etc.) before making the request.

– safe_execute(code_snippet=…): Checks code for risky patterns (os import, eval, file access, etc.) before execution.

It works via a simple API call to evaluate the action against configurable security policies. It includes default policies for common risks.

Get Started:

Install:
pip install agentshield-sdk

Get API Key (CLI):
agentshield keys create

Use in Python:
from agentshield_sdk import AgentShield
# shield = AgentShield(api_key=…)
# await shield.guarded_get(url=…)
# await shield.safe_execute(code_snippet=…)

Full details, documentation, and the complete README are at https://pypi.org/project/agentshield-sdk/

We built this because securing agent interactions felt crucial as they become more capable. It’s still early days, and we’d love to get your feedback on the approach, usability, and policies.

Comments URL: https://news.ycombinator.com/item?id=43891111

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