CLI · CI/CD ready

Secure your LLMs.
Prove your compliance.

Shield LLM runs automated security tests on any AI chatbot: prompt injection, data extraction, jailbreaks. Security grade, detailed vulnerabilities, audit-ready PDF report in under a minute.

Automated red teamingOWASP LLM Top 10LLM-as-JudgePDF export

Start scanning for free →See how it works

Works with any chatbot endpoint

Runs locally

Audit-ready PDF reports

PROMPT_INJECTION_BLOCKED

SYSTEM_PROMPT_SECURED

MODEL_DOS_DETECTED

OUTPUT_SANITIZED

Act I · The reality

Your AI chatbots are already under attack.
Most are vulnerable.

Production LLMs pass classic web audits. They fail against LLM-specific attacks: prompt injection, data extraction, guardrail bypass.

of production chatbots fail basic OWASP LLM tests

OWASP · 2025

0 min

is the average time to extract sensitive data from an unprotected LLM

Shield Labs

of companies have no defense specific to their LLM deployments

Gartner · 2025

0×

increase in attacks targeting generative AI since 2024

IBM X-Force

The attacks a classic scanner never sees

LLMs introduce a completely new attack surface. Your WAF, your DAST, your annual pentest: none of them are equipped for it.

LLM01Prompt injection that hijacks model behavior
LLM02Sensitive information leakage in responses
LLM06Excessive agency (unauthorized actions)
LLM07System prompt extraction via social engineering
LLM09Disinformation and exploitable hallucinations

Act II · The solution

Three pillars. One tool.

Shield LLM combines automated red teaming, AI-judge analysis and regulatory compliance in a CLI you install in one command.

PILLAR 01

Automated red teaming

Full coverage of the OWASP LLM Top 10: prompt injection, system extraction, excessive agency, multi-turn jailbreak, supply chain. Runs in under a minute.

OWASP LLM TOP 10 · CRESCENDO

PILLAR 02

LLM-as-Judge

AI-driven analysis goes beyond regex. A judge model evaluates each response in context to catch nuanced vulnerabilities that pattern matching misses.

3 LAYERS · CONTEXT + RULES + JUDGE

PILLAR 03

EU AI Act compliance

Automatic scoring aligned with articles 5, 9, 10, 13, 14 and 15 of the regulation. Audit-ready PDF report, actionable remediations, timestamped evidence.

7 REQUIREMENTS · SIGNED PDF EXPORT

shield-llm · real-time scan

TARGETsupport-bot.acme.com

23/100

Security grade · immediate action required

PROMPT INJECTION

85%

DATA LEAKAGE

72%

OUTPUT HANDLING

48%

SUPPLY CHAIN

15%

4 critical · 6 high · 3 medium detected

Act III · Regulatory framework

EU AI Act. Audit-ready.

Your LLM falls under the European AI regulation. The obligations are concrete: robustness, transparency, human oversight, data governance. Shield gives you the technical scoring and the evidence.

Articles covered

7 of 7 high-risk system requirements

Enforcement

August 2, 2026 · high-risk systems

Assess my compliance →

Compliance assessment · support-bot.acme

Compliant

Robustness and resilience

Art. 15

92%

Transparency

Art. 13

88%

Data governance

Art. 10

85%

Human oversight

Art. 14

90%

Risk management

Art. 9

87%

Accuracy

Art. 15

91%

Prohibited practices

Art. 5

95%

Local-first architecture

Your prompts never leave your environment.

Shield LLM runs as a CLI from your environment, calling your chatbot endpoint directly. No proxy, no MITM, no credentials to share.

The only data sent to our servers: the scan report summary, so you can review it from your dashboard.

100% local execution from your environment
Your chatbot credentials stay in your config, never sent to us
Data hosted in Europe · encryption at rest
Signed PDF export ready for your internal audits

Zero interception

Prompts go straight to your chatbot endpoint. No relay, no proxy.

Credentials stay local

Your shield.config.json lives on your machine. We never see your endpoint secrets.

Isolated storage

Scan data is scoped to your environment. Nothing persists without your action.

Verifiable output

Every result includes evidence, confidence and OWASP mapping. Native PDF export.

Pricing

Start free. Scale when you need it.

The base scan is free forever. Upgrade to Pro for AI evaluation, PDF reports and custom tests.

FREE

€0

Start with the base scan and discover your posture.

5 scans per month
OWASP LLM Top 10 (10 attacks)
Rule-based analysis
Security grade (A–F)
30-day history · 1 domain

Get started

Frequently asked questions

Everything you need to know about Shield LLM security testing.

What happens during a scan?

Shield LLM automatically injects OWASP LLM Top 10 attack prompts into the target chatbot interface. Each response is analyzed by our 3-layer engine (context + rules + LLM-as-Judge). You get an A–F grade, the vulnerability breakdown, and an audit-ready PDF report in under a minute.

Is my data sent to a server?

The attack prompts and chatbot responses stay in your browser. Only the report summary (grade, categories, counts) is sent to our European server, so you can review your history from the dashboard. You can disable this sync.

Does it work with any chatbot?

Yes, as long as it has a web interface. ChatGPT, Claude, Gemini, Mistral, Copilot, Llama-based custom chatbots, or any model. No model-specific configuration required.

How long does a scan take?

Between 45 seconds and 3 minutes depending on the target chatbot latency. The full Pro scan with LLM-as-Judge averages 90 seconds.

How is the security grade calculated?

Each test is weighted by its OWASP LLM Top 10 category and CVSS severity. The overall score is a weighted average normalized to 100, mapped to A (90+) through F (<50). The calculation details are documented in the PDF report.

Does Shield LLM really cover the EU AI Act?

Shield covers the 7 technical requirements for high-risk AI systems (articles 5, 9, 10, 13, 14, 15). Automatic scoring produces timestamped evidence you can attach to your compliance file. Full legal assessment remains your DPO's responsibility.

Secure your AI before the attackers.

Install the Shield LLM CLI and get your first security report in under a minute. No SDK, no code changes.

Start scanning for free →See a demo

Secure your LLMs.Prove your compliance.

Your AI chatbots are already under attack.Most are vulnerable.