Feb 14, 2024 · Air Canada
Chatbot promised a refund that didn't exist
Court ruled against the airline. AgentShield would have flagged the unauthorized policy commitment before execution.
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Pattern-based analysis detects 50+ failure modes including prompt injection, data leaks, discriminatory responses, and compliance violations.
The agent decides alone. You find out from a bug report — or worse, a customer.
Every decision passes through guardrails. Risk score on every call. Block before execution.
Monitor your entire fleet. Audit-ready logs. EU AI Act compliant in 9 lines of code.
Add one decorator for observability. Call check_guardrails() to block dangerous actions before execution.
# pip install agentshield-ai
from agentshield import AgentShield
from openai import OpenAI
shield = AgentShield(api_key="your-key")
client = OpenAI()
@shield.monitor("support-bot") # traces + risk-scores every call
def my_agent(prompt):
r = client.chat.completions.create(model="gpt-4o-mini", messages=[{"role":"user","content":prompt}])
return r.choices[0].message.content @shield.monitor traces every call + assigns a risk score after execution. For pre-execution blocking, add check_guardrails() before your LLM call.
Real incidents from production AI agents. Each one would have been caught — or prevented — by AgentShield.
Feb 14, 2024 · Air Canada
Court ruled against the airline. AgentShield would have flagged the unauthorized policy commitment before execution.
Dec 18, 2023 · Chevrolet of Watsonville
Prompt injection bypassed sales guardrails. Pre-execution check_guardrails() blocks this kind of manipulation.
Mar 19, 2024 · ServiceNow
Risk score on action_taken='process_refund' with value>10000 would have triggered alert. Logged for audit.
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