vapiEvery AI agent, chatbot, and model running in your company is vulnerable — we are dedicated to attacking them, protecting them, and ensuring that we govern them.
Vapi is the security team companies hire to bring AI in safely, closing off unauthorized or vulnerable use before an attacker can exploit it. We red-team with the open-source engines researchers publish with, apply safeguards in production, and hand over evidence through audits on request — one team, not five different vendors.
Built on engines and standards that all security teams already trust
- OECD
- NIST AI RMF
- ISO 42001
- OWASP LLM
- OWASP Top 10 for agentic
- CSA AI Matrix
- IEEE 7000
- MITRE ATLAS
These are the questions we’re constantly asked as an AI security team—and we strive to answer them clearly.
How many unsupervised actions are my agents actually taking?
Counting agents isn't enough — each one fires off tool calls, API requests and processes on its own. Teams that go looking usually find far more of these running unsupervised — through copilots, internal chatbots and MCP-connected agents — than IT ever approved.
Would my agents, chatbots or AI survive a real attack?
No, they wouldn't. Most agents ship after a quick prompt review, not a red-team engagement, and prompt injection, jailbreaks and data exfiltration rarely get tested before launch.
Can vulnerabilities be proven through an audit?
Yes. With Vapi's testing engines you don't just find the real vulnerabilities in your agents, chatbots and models — every finding automatically maps to a compliance report aligned with OWASP, NIST and the full range of regulatory frameworks, ready to hand to an auditor.
One platform, five stages
Most competing solutions cover only one of these stages. Vapi runs the full lifecycle — because an untested guardrail and an audit report with no evidence behind it are both just guesses.
Discover
We study and determine every agent, model and MCP server — and how it works — before an attacker does.
Vapi Discover
Attack
We run continuous red-team testing with the same engines security researchers use.
Vapi Attack
Shield
We apply guardrails in production, scoring every request in real time.
Vapi Shield
Govern & Respond
We gate what agents can do by policy, and shut them down automatically when they don't comply.
Vapi Govern & Respond
Comply
We turn every finding into audit-ready regulatory evidence.
Vapi Comply
This is what an audit actually looks like
Not a slide deck. Real probes our team runs against your target, scored live — then rolled up into evidence your compliance team can hand to an auditor.
$ vapi attack examples/audit-plan.yaml --out results --timeout-s 2700
[1/6] goodside.SystemPromptConfusion ✓ (1m27s)
[2/6] promptinject.HijackHateHumans ✓ (4m05s)
[3/6] dan.AntiDAN ✓ (0m30s)
--- resultado por probe ---
PASS goodside.SystemPromptConfusion 0/6 0%
FAIL promptinject.HijackHateHumans 15/15 100%
FAIL dan.AntiDAN 1/1 100%
$ vapi comply results
✓ OWASP LLM Top 10 6/10 controls evidenced
✓ NIST AI RMF 18/24 subcategories evidenced
→ report: compliance/report.mdHow it fits together
One orchestrator, one methodology run by our team, every engine isolated in its own environment — no shared dependencies, no shared blast radius.
Your target
Agent, chatbot, or model — local, VPC, or API
Vapi orchestrator
Fans out to attack, shield & discovery engines
Findings & evidence
Every attempt, score, and prompt kept as proof
Reports
Compliance mapping, incidents, SIEM export
Compliance you can back with evidence
Every finding from every engine is mapped to a control, automatically — not filled in by hand after the fact.
Prompt injection, data leakage & the 10 baseline LLM risks
Risks specific to autonomous, tool-using agents
24 subcategories across govern, map, measure, manage
12 generative-AI-specific risks
12 adversarial ML attack techniques
10 articles for deployed AI systems
12 AI management-system controls
Why teams choose Vapi
One platform, not five point solutions
Discovery, red-teaming, guardrails, governance and compliance usually mean five vendors and five contracts. With Vapi it's one team, one contract, covering all of it.
Open, auditable engines — not a black box
Every finding traces back to a named, inspectable open-source engine, not a proprietary heuristic you have to trust blindly.
We work where your data has to stay
You don't install or maintain anything: our team runs the analysis, the pentesting, and puts together the reports — inside your VPC, on-prem, or fully air-gapped if your data can't leave your infrastructure, or we can even hand you results from local open-source models we've already analyzed.
Frequently asked questions
What is Vapi?+
Vapi is a security service: our team discovers every AI agent, chatbot and model running inside your company, red-teams them with named, inspectable open-source engines, enforces real-time guardrails, and turns every finding into compliance evidence for OWASP, NIST, MITRE ATLAS, the EU AI Act and ISO/IEC 42001.
Can Vapi run on-prem or fully air-gapped?+
Yes. Our team can run the engagement inside your VPC, on-prem, or a fully air-gapped environment if your data can't leave your infrastructure — you don't install or host anything yourself.
What compliance frameworks does Vapi map to?+
OWASP LLM Top 10 and Agentic Top 10, NIST AI RMF 1.0 and AI 600-1, MITRE ATLAS, the EU AI Act, and ISO/IEC 42001 — mapped automatically from real Attack, Discover and Shield results, not filled in by hand.
How do I get started?+
Book a demo and bring one agent, chatbot or model. You leave with a real findings report and a compliance map — not a canned demo.
See your own agents through Vapi
Bring one agent, one chatbot, or one model. Leave with a findings report and a compliance map.
Book a demo