Attack surface • Chatbots
Ship chatbots your auditor can defend.
Public-facing or internal, we stress-test your chat interfaces against the largest researcher-validated exploit intelligence community on the internet. Findings map to OWASP LLM Top 10 and MITRE ATLAS, built for AppSec, red-team, and AI-platform teams.
Your Chatbot Has Three Failure Modes. 0DIN Finds Them First.
Every chatbot you ship has the same three failure modes, and they don't show up in synthetic benchmarks. We test against the long tail of researcher-validated exploits that production traffic eventually finds anyway.
01
Guardrail bypass
Adversarial prompts that route around system instructions, refusal training, or content filters: the failures your safety eval suite isn't catching.
What we find
System-prompt extraction · Refusal bypass · Multi-turn jailbreak · Role confusion
02
Data exposure
Untrusted-input attacks that pull internal context, customer data, retrieved documents, or your system prompt into the model's reply.
What we find
Indirect prompt injection · Context leakage · RAG poisoning · PII exfiltration
03
Unsafe output
Behavior that violates the AI-use policy you committed to in your control narrative: the gap between what you told your auditor and what production actually does.
What we find
Harmful-output generation · Policy violation · Brand-safety failure · Regulated-domain advice
0DIN CAPABILITIES
See 0DIN from where you sit.
0DIN secures generative AI across its whole lifecycle: testing, detection, exploit intelligence, and audit-ready reporting. Pick your lens and we’ll surface the capabilities that matter most to you.
Show me solutions for
Test, score, and match against real exploits, covering guardrail bypass, data exposure, and unsafe output on conversational surfaces.
Defends against:
Guardrail bypass Data exposure Unsafe outputScanner
Guardrail-bypass testing
Runs curated 0DIN and community garak probes against API and web-chat AI targets to surface jailbreaks, policy bypasses, and safety-control failures before they reach users.
Prompt Toolkit / SDK
In-conversation input scoring
Scores each prompt on a 0–1 suspicion scale at the application boundary, in-process.
AI Vulnerability Intelligence
Exploit-pattern matching
Matches inputs against known control-failure and untrusted-input patterns, with severity metadata on every hit.
Prompt Toolkit / SDK
Gate or route risky turns
Ability to match severity to gate, log, or route requests and actions.
Prompt Toolkit / SDK
Local, no data egress
Runs detection in-process via bundled ONNX models, so prompt content never leaves your environment.
Scanner
Continuous coverage
Schedules recurring or triggered re-scans across the same targets and probe sets based on updates to catch regressions after model, prompt, policy, or app changes.
Tailored for your Team
Researcher-validated AI intelligence security packages
Scanner
Turnkey AI security testing.
Probe library, dashboards, scheduled scans, custom probe import, PDF reports, SIEM export.
Best fit for
Large CISO orgs and regulated enterprises running structured red-team programs.
AI Vulnerability Intelligence
The data your red team's been building from scratch.
Curated, versioned Probe Packs + intelligence feed. JSONL/YAML for PyRIT, Garak, or your own scanner.
Best fit for
Teams already running their own tooling who want a curated, researcher-validated probe feed.
Prompt Toolkit / SDK
Detection your platform can ship.
Embedded detection SDK for prompt-based attacks and agent threat hunting.
Best fit for
AppSec teams or platform vendors who need detection signals inline with their existing security tools.
Use Case Matrix
How different teams use 0DIN to secure their chatbots.
Security Consultants
AppSec + Red Team
Pre-launch testing
Stress-test new chatbot features before customer rollout. Catch guardrail bypasses before users do.
Continuous validation
Scheduled re-scans on every model swap or prompt change. Find regressions in your retrieval pipeline.
Red-team augmentation
Researcher-validated probes augment your internal red-team library. JSONL drops into PyRIT or Garak.
Legal & Compliance
GC + Privacy + Audit
Audit-ready reports
Every chatbot finding tagged to OWASP LLM Top 10 + MITRE ATLAS. Defensible without re-mapping.
Data retention discipline
Chatbot transcripts captured during testing are deleted after report delivery. Vendor disclosure path on upstream findings.
Control narrative inputs
Test results become evidence your control narrative can reference. Same vocabulary your auditor already uses.
Trust & Safety
Policy + Brand + Content
Brand-safety validation
Test against your defined safe-content policy. Document where the chatbot violates your stated rules.
Regulated-domain testing
Healthcare, financial, legal advice probes against your chatbot before it goes live in a regulated context.
Policy gap detection
Find the gap between what your AI-use policy says and what your chatbot actually does.
Independent. Researcher-led. Mozilla-backed.
25+ yrs
Building trust on the open internet. Built on the same trust, transparency, and commitment to a safer internet that's defined Mozilla.
2,100+
Real researchers actively probing AI systems. We convene a global community of security experts.
20K+
Human-authenticated probes across industries.