Inkog vs Snyk

Snyk scans dependencies and containers. Inkog scans agent logic.

The Difference

Aspect	Snyk	Inkog
Focus	Known vulnerabilities in packages	Behavioral flaws in your code
Detection	CVE database matching	Semantic code analysis
Finds	Outdated `langchain==0.0.100`	Infinite loop in your agent
Fixes	”Upgrade to 0.0.200"	"Add `max_iterations=10`”

What Snyk Catches


✗ High severity vulnerability in langchain
  CVE-2024-1234 - Arbitrary code execution
  Fix: Upgrade to langchain>=0.1.0

Snyk finds this by matching your requirements.txt against its CVE database.

What Snyk Misses


# Your code - no CVE exists for this
def process_request(user_input):
    while True:
        response = llm.invoke(user_input)
        if "DONE" in response:
            break
        user_input = response  # LLM controls loop
 
# Snyk: No finding (no CVE for infinite loops)
# Inkog: CRITICAL - LLM-controlled loop without termination

Different Attack Surfaces

Snyk protects against:

Known CVEs in dependencies
Vulnerable container base images
License compliance
Supply chain attacks

Inkog protects against:

Prompt injection in your prompts
Agent loops in your code
Missing oversight in your workflows
Data leakage in your RAG pipelines

Real Scenario

Your requirements.txt:


langchain==0.1.0  # Latest, no CVEs
openai==1.0.0     # Latest, no CVEs

Your agent.py:


agent = AgentExecutor(agent=react, tools=dangerous_tools)
# No max_iterations, no human oversight

Tool	Finding
Snyk	✓ All dependencies secure
Inkog	`CRITICAL: AgentExecutor without limits`

Both are true. Your dependencies are fine. Your code has security risks.

Use Both


jobs:
  security:
    steps:
      # Snyk: Are my dependencies vulnerable?
      - uses: snyk/actions/python@master
 
      # Inkog: Does my agent code have logic flaws?
      - uses: inkog-io/inkog-action@v1

Bottom Line

Snyk answers: “Do my dependencies have known CVEs?”

Inkog answers: “Does my agent code have logic flaws or security risks?”

You need both questions answered.