

Credo AI and Lasso Security are both AI Security tools. Compare features, pricing, and ratings below to find the best fit for your team.
The question that matters: “In what situation will I regret choosing A over B after 3 months?”
Credo AI's Policy Packs evaluate a model against the EU AI Act or NIST AI RMF, producing a risk register with specific control gaps and remediation steps.
Credo AI routes model reviews to legal, security, and data science stakeholders in sequence, tracking approvals and surfacing blockers before model deployment clears governance review.
The AI Registry catalogs every model in production with ownership, use case, risk tier, and last review date, giving auditors a single source of truth instead of hunting through Confluence pages.
Lasso sits inline on LLM API traffic and blocks prompt injection attempts in real time, preventing users from jailbreaking or overriding system instructions in production apps.
Lasso's data privacy layer scans incoming prompts for credit card numbers, SSNs, and email addresses, redacting or blocking the call before any sensitive data hits the LLM.
Policy rules let teams define blocked topics beyond general toxicity, so a financial app blocks competitor mentions while a children's platform blocks age-inappropriate content.
8 differences found across 10 standardized features
Evaluative strengths and weaknesses: not feature lists