Attack surface • Agentic Workflows
Ship agents your auditor can defend.
Tool-using assistants, multi-step workflows, autonomous loops. We go deep on the planning, tool-call, and memory layers of your agents before anything reaches production. Attributed findings, agent-specific attack patterns, OWASP LLM Top 10 and MITRE ATLAS coverage, built for AppSec, red-team, and AI-platform teams.
Your Agent Has Three Failure Modes. 0DIN Finds Them First.
Every agent you deploy 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
Goal hijack
Adversarial content arriving through tool outputs, retrieved memory, or earlier turns: instructions that override the user's goal before the agent acts.
What we find
Plan injection · Memory poisoning · Persona drift · Multi-step goal pivot
02
Tool misuse
Agents calling real tools with attacker-controlled arguments: exfiltration through authorized APIs, privilege chaining across tools, lateral movement through connected systems.
What we find
Argument injection · Confused-deputy actions · Cross-tool exfiltration · Privilege chaining
03
Unbounded behavior
Agents that keep going when they should stop: burning budget, escalating loops, taking irreversible actions, operating outside the scope you defined for them.
What we find
Cost-runaway loops · Irreversible-action triggers · Scope creep · Authorization gap
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
Securing autonomous agents, from goal-hijack and tool-abuse testing to per-step input scoring and action gating.
Defends against:
Goal hijack Tool & action abuse Unbounded behaviorScanner
Goal-hijack & tool-abuse 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
Per-step input scoring
Scores each prompt on a 0–1 suspicion scale at the application boundary, in-process.
Prompt Toolkit / SDK
Action gating
Ability to match severity to gate, log, or route requests and actions.
AI Vulnerability Intelligence
Memory-poisoning coverage
Matches inputs against known control-failure and untrusted-input patterns, with severity metadata on every hit.
AI Vulnerability Intelligence
Researcher-validated coverage
Draws on real-world exploits discovered by 0DIN bug-bounty community and validated by our researchers.
Scanner
Continuous regression scanning
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.
Ask us to run your agent twice, once with a public injection and once with a live 0DIN exploit. The difference is the point.
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 agents.
Security Consultants
AppSec + Red Team
Pre-launch testing
Stress-test new agents before deployment. Catch goal-hijack and tool-misuse paths before users do.
Continuous validation
Scheduled re-scans on every tool addition, prompt change, or model swap. Find regressions in your planning loop.
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 agent finding tagged to OWASP LLM Top 10 + MITRE ATLAS. Defensible without re-mapping.
Data retention discipline
Agent traces 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-action policy. Document where the agent violates your stated rules.
Regulated-domain testing
Healthcare, financial, legal probes against agent actions in regulated contexts.
Policy gap detection
Find the gap between what your AI-use policy says and what your agent 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.