Secure AI agents before they execute. Validate every tool call. Enforce policies. Complete audit trails.
pip install safekeylab
from safekeylab.agent_security import SecureAgent
# Wrap any agent with security
secure_agent = SecureAgent(your_agent, policy=my_policy)
result = secure_agent.run("Process this request")
AI agents can execute any tool they're given access to. A compromised prompt could trigger destructive actions.
Most agent frameworks don't log what tools were called or why. When something goes wrong, you can't investigate.
Malicious inputs can manipulate agents into executing unintended commands, accessing restricted data, or exfiltrating information.
Without rate limiting, agents can make unlimited API calls, running up massive bills or overwhelming downstream services.
Every tool call is validated before execution. Check for:
# Validate before execution
result = validator.validate_tool_call(
tool_name="web_search",
arguments={"query": user_input},
context=agent_context
)
if not result.allowed:
print(f"Blocked: {result.reason}")
# Severity: {result.severity}
Define exactly what your agents can and cannot do:
# Define agent policy
policy = AgentPolicy(
agent_id="customer-support-bot",
allowed_tools=["search", "lookup_order"],
blocked_tools=["delete", "execute_sql"],
allowed_domains=["api.internal.com"],
max_tool_calls_per_minute=30,
require_human_approval_for=["refund"]
)
Know exactly what your agents did and why:
# Replay entire session
trace = audit_trail.get_session_trace(session_id)
for action in trace:
print(f"{action.timestamp}: {action.tool_name}")
print(f" Status: {action.status}")
print(f" Policy: {action.policy_decision}")
# Detect anomalies
anomalies = audit_trail.detect_anomalies(
agent_id="my-agent",
window_hours=24
)
from safekeylab import SafeKeyLabCallback
agent = create_react_agent(
llm, tools, prompt,
callbacks=[SafeKeyLabCallback()]
)
from safekeylab import SecureAgent
secure = SecureAgent(
openai_assistant,
policy=my_policy
)
from safekeylab.agent_security import (
ToolCallValidator,
PolicyEngine
)
# Validate any tool call
validator.validate_tool_call(...)
| Feature | SafeKeyLab | DIY / Open Source | Other Vendors |
|---|---|---|---|
| Tool Call Validation | ✅ Built-in | ❌ Build yourself | ❌ Not available |
| Policy Engine | ✅ YAML/JSON policies | ❌ Build yourself | ❌ Not available |
| Audit Trail | ✅ Complete logging | ⚠️ Basic logging | ❌ Not available |
| Anomaly Detection | ✅ ML-based | ❌ Build yourself | ❌ Not available |
| Integration Time | ✅ 5 minutes | ⚠️ Weeks | N/A |
No other platform offers comprehensive agent security. Be first to protect your AI.
pip install safekeylab • No credit card required