Why We Need Guardrails for AI Agents
Explore the need for having guardrails in place for AI agents. Limitations of LLM's security measures when used in AI Agents, ways to implement guardrails for AI Agents, and best practices to follow
Expert tutorials and engineering deep-dives on AI agents, generative AI testing, and intelligent automation — crafted for builders who ship.
from google.adk import Agent
from tools import search, analyze
agent = Agent(
name="research_agent",
model="gemini-2.5-pro",
tools=[search, analyze],
instruction="""
You are an AI research agent.
Analyze topics thoroughly
and provide cited sources.
""",
)
# Deploy with confidence
result = await agent.run(
"Analyze the impact of
multi-agent systems"
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