AI agents & model integrations

AI/ML Security

AI systems now call tools, read data and trigger actions. We test the models, agents and permissions behind them.

We test what your AI can do, not just what it says.

AIML.DIAGRAMFIG. 01
Scope

What we review.

AI agent security

Agent loops, tool permissions, prompt injection and unsafe actions.

On-chain AI systems

Agents that touch wallets, contracts, transaction builders and oracles.

Model integration security

Model APIs, system prompts, output validation and RAG.

AI supply chain

Data provenance, model artifacts, dependencies and MLOps access.

Attack path analysis

One instruction. Multiple trust boundaries.

A model can behave as designed and still cause harm through the tools it controls.

AGENT.ATTACK_PATHFIG. 02
01 INPUT02 REASONING03 EXECUTION04 IMPACT
01 · InputPrompt & context manipulationDirect and indirect injection, untrusted retrieved content.
02 · ReasoningUnsafe model behaviorInputs that steer decisions or leak sensitive context.
03 · ExecutionTool & permission abuseTool authorization, identities, function calls, credentials.
04 · ImpactSensitive actions & assetsData access, API operations and transactions.
How we test

Evidence over assumptions.

Five steps, from threat model to verified fixes.

  1. 01

    Scope & threat model

    Map the model, tools, data, identities and allowed actions.

  2. 02

    Architecture & trust review

    Find trust boundaries and high-impact execution paths.

  3. 03

    Adversarial testing

    Probe prompts, context, tools and unsafe action paths.

  4. 04

    Validate exploitability

    Reproduce weaknesses and trace their real impact.

  5. 05

    Report & remediation

    Findings, root causes and fixes, with optional retesting.

Why Vaultline

Security for systems that can act.

01. Research-led security.

Adversarial testing grounded in our own AI security research.

02. Follow the action, not just the prompt.

We trace how a manipulated output reaches tools, credentials and transactions.

03. Built from the engineering side.

We build AI security tooling, so we test the whole system, not just the model.

What you get

Deliverables, grounded in research.

Deliverables

Executive summaryPrioritized findingsReproduction evidenceAttack-path analysisRoot cause & remediationRetest resultsReusable test harnesses (optional)

Frameworks we test against

OWASP Top 10 for LLM Applications: 2026OWASP Top 10 for Agentic Applications: 2026MITRE ATLAS
Customer reviews

Why clients trust us.

“Vaultline (formerly 0xTeam) provided us with a comprehensive audit that uncovered critical and hidden vulnerabilities. Their turnaround was fast, and communication was seamless. The team was highly professional and technically sound. We felt secure launching post-audit.”
Playarts AiPlayarts Ai@playartsdotai
“The audit experience with Vaultline (formerly 0xTeam) was exceptional. Their findings were detailed, accurate, and easy to follow. They identified logic bugs others missed. Our smart contracts are now more robust thanks to their efforts.”
DZapDZap@dzap_io
“Working with Vaultline (formerly 0xTeam) was smooth from start to finish. Their security insights helped us fix serious issues early. Their report was thorough, and the post-audit call added great clarity. Definitely our go-to team for future audits.”
FuntokenFuntoken@funtoken_io
“We needed a reliable audit before launch, and Vaultline (formerly 0xTeam) delivered. Their approach blended automation and manual review perfectly. The team was responsive, skilled, and security-focused. We gained major trust from users post-audit.”
AMGI StudiosAMGI Studios@amgistudios
“We loved how hands-on Vaultline (formerly 0xTeam) was during our audit. They didn't just find issues, they educated us too. The report was actionable, clear, and helped our developers level up. Our product is now safer and play-ready.”
Elevate FinanceElevate Finance

Worked with us?

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Before your agent acts, test what it can do.

See how your AI behaves under pressure, where its permissions create risk, and what to fix first.