For teams building with AI
AI is exposing the security gaps you already had.
AI-built apps, agents, automations, and dashboards are connecting to your data, users, and credentials faster than anyone can review them. These gaps aren't new — AI is just surfacing them all at once. ZIVIS gives you a plain-English map of what your AI touches and what to fix first.
- Real findings, ranked and in plain English — no vague fear, no data dump.
- A practical map of what your AI touches and what to fix first.
- Best for one AI app, workflow, automation, agent, or internal tool.
See everything your AI is already connected to.
Each new model—Fable 5, Mythos, whatever ships next—lets your team build and connect faster than anyone can review. The catch: thousands of security gaps are already surfacing across data, users, APIs, and credentials you’ve never mapped—and most teams aren’t ready.
Teams are shipping faster than review can keep up.
AI is built into everyday work. Review and governance weren't.
Nobody has a clean map of what the AI touches.
Leaders don't know what data, users, tools, or workflows are in scope.
Data
Databases, files, warehouses
Users
Employees, customers, service accounts
APIs
Internal & third-party integrations
Documents
Confluence, Drive, SharePoint, Notion
Credentials
Keys, tokens, service accounts
Workflows
Apps, automations, agents, scripts
The risk is already crossing data, tools, and workflows.
One connection can create impact you didn't intend.
Leadership is being asked to own systems they can't fully see.
It's hard to answer with confidence when the map doesn't exist.
The first migraine is uncertainty.
The real question isn’t "Are we using AI?"
It’s "Where is it, what does it touch, and what could go wrong?"
A giant audit isn’t always the answer.
Clarity first. Then prioritize. Then act.
That’s how you get ahead.
Straight talk from our CISO
The riskiest move with AI is not looking.
It’s natural to not want to know what a security review will turn up — so a lot of teams quietly put it off. But the gap doesn’t wait while you look away. The earlier you can see what your AI actually touches, the smaller and cheaper it is to fix.
“I understand the fear of what AI security testing will find. The answer isn’t to avoid it — it’s a smarter, calmer way to look.”
The fix starts with clarity
Start with the Mini AI Risk Map.
A focused review for one AI app, workflow, automation, agent, dashboard, or use case — so you can see what it touches, where the risk is, and what to fix first.
Mini AI Risk Map
A focused review for one AI app, workflow, automation, agent, dashboard, or use case.
- Map what the system touches.
- Identify users, data, integrations, tools, and trust boundaries.
- Show what can go wrong.
- Prioritize the top risks.
- Translate findings into plain English.
- Recommend the next step: fix, train, test, govern, or expand.
You receive
- A plain-English AI Risk Map.
- A short findings summary.
- A prioritized action plan.
- A recommendation for the next step.
- Optional follow-up into audit, AI testing, implementation, training, or retainer.
Three ways to work with ZIVIS
From clarity to assurance to continuous oversight.
Mini Threat Map
Entry offer · one app / one use case
$1,499
A fast, focused review that shows how ZIVIS thinks about threats, trust boundaries, data flows, and risky integrations.
Audits & Testing
One-time projects · pick one or combine
Point-in-time projects to validate what you've built: a review-led security audit, an auditable penetration test, or AI red teaming for systems that use LLMs, agents, or RAG.
Ongoing Retainer
Line-of-sight · Blueprint · Sentinel
Recurring review, risk-map maintenance, and vCISO oversight so technical findings turn into governance, compliance, and launch decisions.
Start small. Go deeper only where it matters.
One front door, a clear path to grow. Expand into deeper review only where the risk requires it.
- 1
Mini AI Risk Map
$1,499 one-timeFor one AI app, workflow, automation, or use case.
Get the Mini MapBest when
- You are not sure what the system touches.
- You need a plain-English risk picture.
- You want to know what to fix first.
- You are deciding whether deeper review is needed.
- 2
Audits & Testing
One-time projectsWhen you need to validate what you've built, pick the one-time project that fits — or combine them.
Compare audits & testingChoose from
- Application Security Audit — review-led look at how your app is built.
- Penetration Test — hands-on exploitation with an auditable report.
- AI Red Teaming — adversarial testing for LLMs, agents, and RAG.
- Findings, remediation guidance, and an optional retest.
- 3
Monthly Assurance Retainers
Line-of-sight / Blueprint / SentinelFor teams that need ongoing review, launch support, advisory help, and confidence as AI usage grows.
Compare Retainers
Simple starting points. Clear next steps.
Mini AI Risk Map
A fast, focused review of one AI app, workflow, automation, or use case.
- Touchpoint map.
- Top risks.
- Plain-English summary.
- Action plan.
- Next-step recommendation.
Application Security Audit
A deeper, review-led look at an application, platform, or production workflow.
- Architecture review.
- Code/repo review where available.
- Deployment/configuration review.
- Findings report.
- Remediation roadmap.
- Optional retest path.
Penetration Test
Hands-on exploitation of your app, APIs, and infrastructure — with an auditable report.
- External and internal attack-path testing.
- Application and API exploitation.
- Validated findings — proof, not noise.
- Auditable report and attestation letter.
- Remediation guidance.
- Confirming retest.
AI Red Teaming
Adversarial testing for LLM apps, agents, copilots, RAG systems, and AI workflows.
- Prompt and context manipulation testing.
- Data exposure and retrieval testing.
- Agent/tool misuse testing.
- OWASP LLM & Agentic AI Top 10 coverage.
- AI-specific findings.
- Remediation guidance.
Ongoing assurance
Stay with ZIVIS as your team keeps building.
After the first map or audit, ZIVIS can stay on as a lightweight security, review, and assurance partner. Compare Line-of-sight, Blueprint, and Sentinel.
Line-of-sight
A trusted review partner nearby for small teams.
Blueprint
For teams actively shipping AI-enabled features and workflows.
Sentinel
ZIVIS as your ongoing AI security and assurance function.
Case study
How MeshMesh cleared every stage of Salesforce's AI security review.
ZIVIS helped MeshMesh navigate a multi-stage enterprise security review by combining architecture review, adversarial testing, remediation support, and security leadership in the room — proof that when the stakes are higher, ZIVIS can go deeper.
<48 hrs
Time to first signal
~2 weeks
Report in hand
~4 weeks
Deep AI coverage
100%
Every review stage cleared
What we find
What we find when we look.
Across recent first-pass reviews, ZIVIS has found roughly 40 high and critical issues on average.
Avg. high + critical findings on first scan.
Not vague fear — ranked, plain-English findings you can act on.
Dumped PHI
Sensitive healthcare data exposed.
Access codes
Digital risk became physical risk.
IP extraction
Infrastructure details leaked.
We show the path, the blast radius, and what to fix first.
What customers say
“I paid two pen test companies for separate scans and they turned up 2 findings (low and informational). I had ZIVIS for under 24 hours and they found 45 critical findings that had likely been sitting there for years.”
When scanners found almost nothing, ZIVIS found the issue that mattered.
A recent software team had already run standard scanning and vendor testing. The output was low-severity and informational. ZIVIS reviewed the app with more context and quickly identified a critical exposure with practical remediation guidance.
Some buyers do not know what to ask yet.
A risk-management prospect was not looking for a giant report. They needed help understanding single points of failure, AI infrastructure risk, data flows, operational controls, and what their leadership team should even be thinking about.
The first map can open the bigger conversation.
A $1,499 Mini AI Risk Map is designed to be an easy yes. It helps buyers see the system clearly, then decide whether they need an audit, AI testing, implementation support, training, or an ongoing retainer.
Why teams choose ZIVIS.
Trust first, an easy first step, and a clear path to grow over time.
Plain English, not jargon.
Findings you can act on: what it touches, what can go wrong, and what to fix first — legible to builders and CEOs alike.
Start small, expand only where it matters.
A $1,499 map is the front door. Go deeper into audits, AI testing, or retainers only where the risk requires it.
Human-led, platform-supported.
You work directly with Jake and Jim, backed by the ZIVIS platform and review process — not a faceless scanner.
Built by people you can actually talk to.
ZIVIS is not a faceless scanner and not a giant consulting team. You work directly with Jake Miller and Jim Goldman, supported by the ZIVIS platform and review process.
Co-Founder & CEO
Builder, engineer, and hands-on security practitioner focused on helping teams understand what their AI systems touch and where the real risks are.
Watch Jake explain the Mini Map →
Co-Founder & CISO
Security and governance leader with decades of experience helping companies create practical, credible security programs.
Hear Jim on AI governance →Built something with AI? Map it before it spreads.
Start with one app, workflow, automation, agent, or use case. ZIVIS will help you see what it touches, where the risks are, and what to do next.