Your AI agents execute tools, browse the web, and make decisions. PromptGuard ensures every action is safe, validated, and auditable.
Every tool call is validated before execution. Block dangerous operations, detect injection attempts, and enforce least-privilege access.
When your agents scrape the web, we scan content for hidden instructions and indirect prompt injections.
We learn your agent's normal behavior patterns and alert you to anomalies that could indicate compromise.
Require human approval for sensitive operations like financial transactions, data modifications, or external communications.
Each agent session is isolated. Compromised sessions can't affect other users or escalate privileges.
Every decision, tool call, and action is logged. Full visibility for compliance and incident response.
Integrate PromptGuard into your agent framework. Works with LangChain, AutoGPT, CrewAI, and custom agents.
Every LLM call and tool execution is secured. Threats are blocked, sensitive operations require approval.
Real-time dashboards show agent activity, security events, and behavioral anomalies.
from langchain.agents import AgentExecutor
from promptguard import PromptGuard
pg = PromptGuard(api_key="your-api-key")
# Wrap your tools with PromptGuard validation
@pg.validate_tool_call
def execute_shell(command: str):
# PromptGuard validates before execution
# Dangerous commands are blocked automatically
return subprocess.run(command, shell=True)
@pg.validate_tool_call
def send_email(to: str, subject: str, body: str):
# This will require human approval (HITL)
return email_client.send(to, subject, body)
# Your agent runs with full protection
agent = AgentExecutor(tools=[execute_shell, send_email])Deploy autonomous AI agents with confidence. Enterprise-grade security from day one.