AI & Automation Security Audits
Know where your AI stack can fail.
An independent review of your chatbots, agents and automations: where data goes, who can reach it and what happens when something breaks, ending in a written report with the fixes ranked by risk.
Why Choose GetAIChatBots for AI Security Audits
An AI security audit is an independent review of the chatbots, agents and automations your business runs: what data they touch, who and what can reach them, and how they behave when someone misuses them or a connection fails. GetAIChatBots builds these systems every day, so we know where they usually break. You receive a written report with findings ranked by risk and a fix for each one, written so any developer can act on it.
Automations get built fast and reviewed never.
API keys get pasted into workflows, customer data passes through tools nobody listed, and an agent will say almost anything if it is asked the right way. Most of it works, until the day it is tested by someone who is not on your side.
- Credentials shared across tools and people
- No map of where customer data travels
- Agents never tested against misuse
Three steps from call to report.
Inventory
We list every bot, agent, workflow and credential, and trace the data each one touches.
Most teams find tools and keys they had forgotten. We build a complete list with owners, so nothing is left outside the review.
- Bots, agents and workflows listed
- Credentials and permissions mapped
- Data each one touches traced
Test
Access controls, prompts and failure paths are tested, including what the system does under misuse.
Tests are run on a copy where possible and agreed with you first. We try prompt tricks, bad input and broken connections to see how each system behaves.
- Access controls and credentials checked
- Prompt-injection and misuse tests
- Failure and fallback behavior tested
Report
You receive a written report with findings ranked by risk and a fix for each one.
The report is written for two readers: a technical person who will fix things and an owner who needs to understand the risk. Each finding has a clear fix and a priority.
- Findings ranked by risk
- A fix described for each one
- A summary for non-technical owners
What you get.
Inventory of bots, agents, workflows and credentials
A complete map of what runs, who owns it and what it can access.
- Every system and owner listed
- Keys and tokens located
- Unused access flagged
Data flow and storage review
A clear view of where customer data goes and where it is kept.
- Data paths drawn end to end
- Third-party tools identified
- Retention and storage checked
Access control and credential audit
Who and what can reach your systems, and whether they should.
- Roles and permissions reviewed
- Shared and exposed keys found
- Rotation steps recommended
Prompt-injection and misuse testing
Tests that try to make your AI say or do things it should not.
- Jailbreak and injection attempts
- Data leak attempts
- Results shown with examples
Failure-mode and fallback testing
What happens when a service is down, slow or sends bad data.
- Timeouts and outages simulated
- Error handling reviewed
- Safe fallbacks confirmed
Written report with prioritized fixes
A report you can act on straight away, ranked by risk.
- Findings with severity
- Fix steps for each one
- Follow-up check offered
An audit that tells you what to fix first, and how
A long list of vague warnings does not help anyone, so each finding in the report states what we saw, why it matters, how serious it is and what to change. Scope and access are agreed in writing, under NDA, before we start, and read access is usually enough. We test what a bot or agent does under misuse, such as instructions hidden in a user message, and what it does when a tool call fails or a connection drops. An audit reduces risk by finding weaknesses early. It cannot prove a system is impossible to break, and we do not claim that it does.
Book a Call ↗What an independent review of your AI stack covers.
Traditional security reviews focus on servers and networks. AI systems add new questions: can a customer talk the bot into revealing something it should not, does an agent have more access than its job needs, and does customer data leave your control through a tool nobody tracked? Our audit covers those questions for chatbots, agents and the automation workflows around them, whether you are about to launch or already live.
What the audit reviews
Every bot, agent, workflow and credential in scope; where customer data is stored and sent; who can access what; how prompts handle misuse; and how each system behaves when something fails.
What you receive
A written report with findings ranked by risk and a fix for each. It stands on its own, so you can hand it to any developer, and fixes can be scoped separately with us if you want help.
Works with your stack.
We audit systems built on the platforms below, whether we built them or another team did. Other tools in your stack can be included in scope.
Book a Call →Where an AI security review matters most.
Audits matter most where bots handle personal or sensitive information, such as security reviews for healthcare and medical practices, data teams and security and CCTV providers.
Three tiers for your security audit.
Pick how much of your bot and automation estate we review. Every package is a fixed scope, quoted in 24 hours.
Starter
A focused review of one bot or workflow.
- Inventory of one bot, agent or workflow
- Data flow and storage review
- Credential and access check
- Short written findings
- One follow-up call
Growth
Most chosenFor teams running several bots and automations.
- Inventory of bots, agents, workflows and credentials
- Prompt-injection and misuse testing
- Failure-mode and fallback testing
- Written report with prioritized fixes
- Walkthrough of the findings with your team
Enterprise
An audit across teams, vendors and environments.
- Audit across teams and environments
- Review of vendor and third-party data handling
- Findings mapped to your own security policies
- Retest after your team applies the fixes
- Executive summary for leadership
A knowledge base over 10k docs as an embedded widget
A cybersecurity SaaS wanted customers to get answers from its full documentation without opening a ticket. We built a RAG-powered chat over the whole doc corpus, embeddable in any customer portal: 10k+ documents indexed, answers in under two seconds on average and 65% of support questions deflected. It is a build rather than an audit, but it shows the kind of customer-facing AI system over a cybersecurity company’s own documentation where data handling and access matter.
Security audits built around how your systems actually run.
Choosing who reviews your AI stack comes down to trust and clarity: will they respect your data, and will the report be something your team can act on? We work remotely with teams across the United States and worldwide, from our Austin, TX and Pakistan offices.
Scope and access in writing
Before we start, scope and access are agreed in writing under NDA. Read access is usually enough, so we do not need to touch production.
Ranked, actionable findings
Each finding is ranked by risk and paired with a fix, in plain language that any developer can follow.
Independent by design
We can audit work built by another team, because an outside view is the point. Fixes are optional and scoped separately.
Often built together.
AI Strategy & Advisory
Fractional AI leadership to plan where automation actually pays off before you build anything.
- AI opportunity audit across your operations
- Prioritized roadmap with ROI estimates
- Vendor/platform selection guidance
- Monthly advisory cadence
RAG Pipeline Architecture
We design and build the retrieval layer behind your AI agents, connecting them to your real business data so answers are accurate, not generic.
- Data source mapping & ingestion
- Vector database setup & tuning
- Retrieval accuracy testing
- Ongoing monitoring & re-indexing
UX Audit
A structured review of your existing chatbot, website or app experience, with concrete fixes ranked by impact.
- Full user-flow walkthrough
- Friction-point identification
- Benchmarked against industry patterns
- Prioritized fix list with effort estimates
Business Automation
n8n, Make, Zapier and Pabbly workflows that connect your tools and take repetitive work off your team.
- Workflow, CRM and sales automation
- Two-way sync between your systems
- AI steps for triage and drafting
- Error alerts, retries and logging
AI Chatbot Development
WhatsApp, Instagram, Messenger, web, SMS and voice bots that sell, support and qualify 24/7, built on the Static / Dynamic / Hybrid model.
- Static, Dynamic and Hybrid models
- GPT and Claude answering layer
- Lead capture synced to your CRM
- Human handoff on buying intent
AI Agents & Voice
Sales agents, support agents, voice receptionists and appointment setters that book calls and qualify leads around the clock.
- Voice & chat sales and support agents
- Books qualified calls into your CRM
- Scores and routes leads automatically
- Escalates to a human on intent
CRM Development
GoHighLevel, HubSpot, Zoho and Salesforce builds wired to your stack: pipelines, automations and integrations a setup assistant cannot deliver.
- CRM setup, migration and cleanup
- Custom funnels, fields and pipelines
- API and webhook integrations
- White-label and SaaS-mode portals
Marketing Automation
Automated nurture sequences, lead scoring and campaign triggers that run without a marketing ops hire.
- Lead scoring & segmentation setup
- Multi-channel nurture sequences
- CRM-triggered campaigns
- Reporting dashboard handover
What founders & agencies say.
We were losing patients every lunch hour and after 5 PM. Now the voice agent answers every call, books straight into our calendar, and sends reminders. Our front desk finally gets to focus on the patients in the chair.
Leads used to wait hours for a reply, and by then they’d called another agent. The chatbot qualifies buyers in under a minute and drops them into our CRM with budget and timeline already filled in.
Our office was buried in service requests and callbacks. Now emergencies get routed to the on-call tech instantly and routine jobs book themselves. It’s like we hired two dispatchers.
Most of our bookings start in Instagram DMs, and we couldn’t keep up. The bot answers pricing questions, books consultations, and even suggests add-on treatments. Our DMs actually make money now.
Leads used to wait hours for a reply, and by then they’d called another agent. The chatbot qualifies buyers in under a minute and drops them into our CRM with budget and timeline already filled in.
Our office was buried in service requests and callbacks. Now emergencies get routed to the on-call tech instantly and routine jobs book themselves. It’s like we hired two dispatchers.
Most of our bookings start in Instagram DMs, and we couldn’t keep up. The bot answers pricing questions, books consultations, and even suggests add-on treatments. Our DMs actually make money now.
We were losing patients every lunch hour and after 5 PM. Now the voice agent answers every call, books straight into our calendar, and sends reminders. Our front desk finally gets to focus on the patients in the chair.
Our office was buried in service requests and callbacks. Now emergencies get routed to the on-call tech instantly and routine jobs book themselves. It’s like we hired two dispatchers.
Most of our bookings start in Instagram DMs, and we couldn’t keep up. The bot answers pricing questions, books consultations, and even suggests add-on treatments. Our DMs actually make money now.
We were losing patients every lunch hour and after 5 PM. Now the voice agent answers every call, books straight into our calendar, and sends reminders. Our front desk finally gets to focus on the patients in the chair.
Leads used to wait hours for a reply, and by then they’d called another agent. The chatbot qualifies buyers in under a minute and drops them into our CRM with budget and timeline already filled in.
Most of our bookings start in Instagram DMs, and we couldn’t keep up. The bot answers pricing questions, books consultations, and even suggests add-on treatments. Our DMs actually make money now.
We were losing patients every lunch hour and after 5 PM. Now the voice agent answers every call, books straight into our calendar, and sends reminders. Our front desk finally gets to focus on the patients in the chair.
Leads used to wait hours for a reply, and by then they’d called another agent. The chatbot qualifies buyers in under a minute and drops them into our CRM with budget and timeline already filled in.
Our office was buried in service requests and callbacks. Now emergencies get routed to the on-call tech instantly and routine jobs book themselves. It’s like we hired two dispatchers.
Answers, before you book.
Quick answers to the questions we hear most about AI and automation security audits.
Do you need access to our production systems?
Read access is usually enough. Scope and access are agreed in writing, under NDA, before we start, so you know exactly what we will look at and what we will not touch.
Can you audit work built by another team?
Yes. An independent view is the point, and the report is written so any developer can act on it, whether they built the system or not.
Do you fix what you find?
If you want us to. The report stands on its own, and fixes can be scoped separately. You can also hand the report to your own team.
What does the audit actually test?
Access controls and credentials, where data is stored and sent, how bots and agents respond to prompt injection and other misuse, and how systems behave when a tool or connection fails.
Will the audit guarantee our systems are secure?
No audit can promise that. It finds and ranks weaknesses so you can fix the most serious ones first and understand the risk that remains.