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OWASP LLM Top 10

LLM Security Tools & OWASP Top 10 Assessment

A self-assessment for LLM applications against the OWASP Top 10 for LLM Applications, plus a map of the LLM security tools that cover each risk. Score your app in a few minutes, then reach for the right tool where you're weak.

Framework: OWASP Top 10 for LLM Applications.

Question 1 of 100% complete
LLM01 Prompt Injection

How do you defend against prompt injection (direct and indirect)?

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Sample report · illustrative data

Sample result: AI/LLM security readiness

Example answers for ten risk areas (each scored 0 to 3) for a team running a retrieval-based assistant with a few connected tools.

Overall

Overall score
57% (17 of 30 points)
Rating
Amber
Weakest area
LLM03 Supply Chain

By risk area

AreaScoreRating
LLM01 Prompt Injection2 / 3Amber
LLM02 Sensitive Info Disclosure2 / 3Amber
LLM03 Supply Chain1 / 3Red
LLM04 Data & Model Poisoning1 / 3Red
LLM05 Improper Output Handling2 / 3Amber
LLM06 Excessive Agency1 / 3Red
LLM07 System Prompt Leakage3 / 3Green
LLM08 Vector & Embedding Weaknesses1 / 3Red
LLM09 Misinformation2 / 3Amber
LLM10 Unbounded Consumption2 / 3Amber

How to read it

Green is 80% or more, Amber 50% to 79%, Red below 50%. Areas follow the OWASP Top 10 for LLM Applications categories; fix the Red rows that give the model tool access first.

Made-up example data. Your own run uses your inputs. Downloads of the full report need Pro.

LLM security tools by risk category

There is no single “LLM firewall.” Securing an LLM app means covering each OWASP LLM risk with the matching class of tool. Here is how the PlayCISO LLM security tools line up:

New to the risk class? Read how malicious LLM routers inject tool calls and steal credentials.

FAQ

What are LLM security tools?

LLM security tools are software that finds and reduces the risks specific to large-language-model applications — prompt injection, sensitive-data disclosure, insecure output handling, excessive agency in tool-using agents, model/supply-chain issues, and abuse of the model. They range from prompt-injection scanners and guardrails to agent/MCP config auditors, model red-teaming suites, and AI bill-of-materials scanners, and they map to the OWASP Top 10 for LLM Applications.

What are the best free LLM security tools?

PlayCISO offers several browser-based ones: Prompt Scan (checks content for prompt-injection patterns), MCP Guard (audits an MCP/agent configuration), Model Audit (red-teams a model endpoint you control), AI Footprint (maps your AI attack surface) and AI BOM (inventories AI components). This page also gives an OWASP-LLM-Top-10 self-assessment to tell you which categories to prioritise.

How do LLM security tools map to the OWASP LLM Top 10?

Each OWASP LLM risk has a matching class of tool: prompt-injection scanners for LLM01/LLM05, guardrails and DLP for LLM02, AI-BOM and dependency scanners for LLM03/LLM04, agent/MCP auditors and human-approval gates for LLM06, and monitoring for LLM09/LLM10. The assessment on this page scores your app against each category so you know which tools to reach for first.

Do I need special tools to secure an LLM application?

You need both process and tooling. The highest-value control is treating tool and retrieved content as data, never instructions, plus least-privilege tool access and human approval for high-impact actions. Tools help you find where those controls are missing — but start by scoring your app so you invest in the right ones.

Are these LLM security tools free?

A free account gets 3 free tool runs, shared across every tool, including this assessment and the linked PlayCISO scanners (Prompt Scan, MCP Guard, Model Audit, AI Footprint, AI BOM); after that they need Pro, $5/month or $40/year.

The tools people use most on PlayCISO.

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