Inkog vs GitGuardian

GitGuardian finds leaked secrets. Inkog finds agent vulnerabilities.

The Difference

What GitGuardian Catches

client = OpenAI(api_key="sk-proj-abc123def456...")

GitGuardian matches the sk-proj- pattern and flags it.

What GitGuardian Misses

# No secrets here, but critical vulnerability
def chat(user_input):
    prompt = f"You are helpful. User says: {user_input}"
    return llm.invoke(prompt)
 
# GitGuardian: No finding (no secrets)
# Inkog: HIGH - Prompt injection via user_input

Different Problems

GitGuardian protects against:

• Leaked API keys
• Exposed credentials
• Secrets in git history
• Pre-commit secret detection

Inkog protects against:

• Prompt injection attacks
• Agent infinite loops
• Missing human oversight
• LLM output validation failures
• Cross-tenant data leakage

Overlap: Hardcoded Credentials

Both tools catch hardcoded secrets:

api_key = "sk-proj-abc123..."

Inkog catches this because credentials in agent code are a security risk. GitGuardian catches it because it’s a secret.

The Real Difference

GitGuardian: “Is there a secret in this code?”

Inkog: “Is this AI agent secure?”

# Secure secret handling, insecure agent
api_key = os.environ["OPENAI_API_KEY"]  # ✓ Good
 
agent = AgentExecutor(
    tools=[PythonREPLTool()],  # Arbitrary code execution
    # No max_iterations
    # No human oversight
)

Use Both

jobs:
  security:
    steps:
      # GitGuardian: Any secrets leaked?
      - uses: GitGuardian/ggshield-action@main
 
      # Inkog: Is the agent secure?
      - uses: inkog-io/inkog-action@v1

Bottom Line

GitGuardian is essential for secret detection.

Inkog is essential for AI agent security.

Both belong in your pipeline.