Files
probo/pkg/agent/guardrail/sensitive_data.go
Bryan Frimin 4725a1b080 Fix false positives in agent guardrails
Skip empty fingerprints in SystemPromptLeakGuardrail to prevent blank
values from flagging every message. Replace overly broad "sk-" pattern
in SensitiveDataGuardrail with specific LLM provider prefixes
("sk-proj-" for OpenAI, "sk-ant-" for Anthropic) to avoid false
positives on common words like "risk-based" or "task-management".

Signed-off-by: Bryan Frimin <bryan@getprobo.com>
2026-03-30 14:18:29 +02:00

112 lines
2.4 KiB
Go

// Copyright (c) 2026 Probo Inc <hello@getprobo.com>.
//
// Permission to use, copy, modify, and/or distribute this software for any
// purpose with or without fee is hereby granted, provided that the above
// copyright notice and this permission notice appear in all copies.
//
// THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
// REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
// AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
// INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
// LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
// OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
// PERFORMANCE OF THIS SOFTWARE.
package guardrail
import (
"context"
"strings"
"go.probo.inc/probo/pkg/agent"
"go.probo.inc/probo/pkg/llm"
)
type SensitiveDataGuardrail struct{}
func NewSensitiveDataGuardrail() *SensitiveDataGuardrail {
return &SensitiveDataGuardrail{}
}
func (g *SensitiveDataGuardrail) Name() string {
return "sensitive-data"
}
func (g *SensitiveDataGuardrail) Check(_ context.Context, message llm.Message) (*agent.GuardrailResult, error) {
text := strings.ToLower(message.Text())
sensitivePatterns := []string{
// Slack tokens
"xoxb-",
"xoxp-",
"xoxa-",
"xoxs-",
"xapp-",
// GitHub tokens
"ghp_",
"gho_",
"ghu_",
"ghs_",
"ghr_",
// Cloud provider keys
"akia", // AWS access key ID
// Payment provider keys
"sk_live_",
"sk_test_",
// LLM provider keys
"sk-proj-", // OpenAI
"sk-ant-", // Anthropic
// JWT tokens
"eyj", // base64-encoded JSON header
// Authorization headers
"bearer ",
"basic ",
// PEM / certificates
"-----begin",
// Connection strings
"postgres://",
"postgresql://",
"mongodb://",
"mysql://",
"redis://",
"amqp://",
// Generic secret field names
"encryption_key",
"signing_secret",
"secret_key",
"private_key",
"client_secret",
"access_token",
"api_key",
"apikey",
"password",
// Raw SQL
"select ",
"insert into",
"update ",
"delete from",
"drop table",
}
for _, pattern := range sensitivePatterns {
if strings.Contains(text, pattern) {
return &agent.GuardrailResult{
Tripwire: true,
Message: "response contains potentially sensitive data",
}, nil
}
}
return &agent.GuardrailResult{Tripwire: false}, nil
}