AI System Security
Table of Contents
- Anti-Manipulation Shield
- Hardened Data Privacy
- Liability Documentation
- Secured AI Logic
- Bot Trickery Risks
- Leaked Customer Lists
- Brand Damage Liability
- Zero Security Audit
The Unguarded Bot#
Every voice agent, chatbot, and SMS responder you deploy speaks on behalf of your brand. To every customer. 24 hours a day. Without supervision.
Most agencies deploy these systems with zero security testing. No guardrails. No documentation. No plan for when someone tries to break it.
One manipulated response. One leaked customer detail. One hallucinated price quote. That is all it takes.
Real Failures#
These are not hypothetical scenarios. They happen to businesses running unhardened AI systems right now.
- Prompt injection. A caller or chat user feeds your bot instructions disguised as conversation. The bot follows them. It offers unauthorized discounts. It reveals internal pricing. It says things your brand would never say.
- Data leakage. Your bot has access to CRM data, appointment details, customer names, phone numbers. Without boundary logic, a crafted question can extract information it was never meant to share.
- Hallucination. The AI invents services you do not offer. Quotes prices you never set. Makes commitments your team cannot fulfill. The customer holds you to it.
- Brand damage. Screenshots travel fast. One bad bot interaction on social media costs more than the system saved you.
If your AI provider has not tested for these scenarios, they have not secured your system. They launched it.
What We Harden#
Every AI system we deploy -voice agents on Retell and VAPI, chat and SMS workflows in GoHighLevel, automation chains across the stack -gets the same security treatment.
Prompt Injection Defense#
- Strict system-level instructions that resist override attempts
- Input validation on user-facing channels (voice transcription, chat, SMS)
- Tested against common injection patterns before deployment
- Fallback logic that defaults to safe responses, not creative ones
Data Boundary Enforcement#
- CRM field-level access controls -bots read only what they need
- Customer PII never surfaced in bot responses unless explicitly required
- API credentials stored with proper scoping and rotation schedules
- GHL workflow permissions locked to minimum required access
Hallucination Guardrails#
- Response boundaries tied to verified business data, not open-ended generation
- Price, service, and availability references pulled from structured sources
- “I don’t know” logic -the bot escalates instead of inventing answers
- Transfer-to-human triggers for edge cases beyond configured scope
Conversation Monitoring#
- Call recordings and chat transcripts logged to CRM automatically
- Flagging rules for unusual patterns -repeated probing, off-topic steering
- Periodic review of bot interactions against expected behavior
The Stack We Secure#
These are the platforms running your AI systems. Each one has integration points that require security configuration.
| Platform | Role | What We Lock Down |
|---|---|---|
| Retell | Voice AI agents | System prompts, call data access, transfer logic |
| VAPI | Voice AI platform | Function calling permissions, tool access, fallback behavior |
| GoHighLevel | CRM, SMS, workflows | API key scoping, workflow triggers, contact data exposure |
| Twilio | SMS, voice telecom | Number provisioning, message logging, webhook security |
| OpenAI / Anthropic | LLM backends | Token limits, system prompt isolation, output filtering |
| Cloudflare | DNS, CDN, DDoS | WAF rules, bot management, rate limiting on public endpoints |
| SendGrid | Email delivery | SPF/DKIM/DMARC, domain authentication, sending reputation |
We monitor upstream availability across this stack in real-time on our Status Dashboard.
Governance Docs#
Enterprise clients and insurance carriers increasingly require governance documentation for AI systems. We provide it.
- AI Usage Policy -What your bots can and cannot do, in writing
- Data Handling Documentation -Where customer data flows, who can access it, how long it persists
- Incident Response Plan -What happens when a bot misbehaves, who gets notified, how fast it gets pulled
- Security Audit Summary -Testing performed, vulnerabilities addressed, configuration decisions
This is not a template. It is documentation specific to your deployment, your stack, and your business requirements.
The Clock Is Ticking#
AI adoption is accelerating. Regulation is following. The businesses that deploy AI systems without governance documentation today will be the ones scrambling to produce it tomorrow when:
- An enterprise client requires it before signing
- An insurance carrier asks how your AI handles customer data
- A competitor screenshots your bot saying something it should not have
- A state AG office decides AI consumer protection is this year’s priority
You cannot retrofit security. You build it in from day one or you rebuild later at 10x the cost.
Why Digital Crunch#
Most AI agencies are marketing teams that learned to plug in APIs. Security is an afterthought. A checkbox. A paragraph on their website they cannot back up.
Digital Crunch is led by a Cybersecurity Engineer with 31 industry certifications, a B.S. in Information Security, and Fortune 100 vulnerability management experience. We carry Professional Liability (E&O) insurance specifically for technology and cybersecurity services.
Security is not a feature we added. It is why we exist.
Hardened AI. Documented Governance. Engineered Accountability.