Marketing & Sales AI{ AI product security }

Enterprise buyers will ask how your AI handles contact data.

MarTech and SalesTech founders face a specific security problem — your AI product touches more personal data than almost any other category. When enterprise procurement asks how you handle it, you need an answer that closes the deal, not kills it.

Free 30 mins · No pitch · Just answers
The problem{ Impact }

When your AI sales tool hits enterprise procurement

You've built a product that helps sales teams move faster. The demo goes well. Then the security questionnaire arrives.

A typical MarTech AI procurement conversation

You: Our AI enriches contact records, scores leads, and drafts personalised outreach automatically.

Procurement: Which LLM processes the contact data? Do you have a Data Processing Agreement with that provider?

Procurement: How do you ensure personal data isn't retained in model context? What's your data residency?

Procurement: Your AI scores leads — is that system subject to EU AI Act Article 6 high-risk classification?

You: We're working on that documentation. Can we have an extension?

Procurement: We'll need to pause the evaluation until this is resolved.

Contact data in LLM APIs

Every AI enrichment call sends names, emails, and company data to a third-party model. Without a DPA, that's a live GDPR violation.

Lead scoring under EU AI Act

AI systems that rank or score people may qualify as high-risk under the EU AI Act. Most founders don't know until procurement asks.

CRM integration attack surface

HubSpot, Salesforce, and Apollo integrations connected to an LLM pipeline create new attack vectors most dev agencies don't account for.

Outreach automation and consent

AI-generated personalised outreach at scale raises specific GDPR consent and legitimate interest questions enterprise legal teams will challenge.

What enterprise buyers ask{ Procurement }

Six questions that kill MarTech AI deals

These are the exact questions enterprise procurement teams ask MarTech and SalesTech vendors. Most founders can't answer them. We make sure you can.

Which AI model processes our contact data and where is it hosted?

Most founders say OpenAI. Procurement asks for the DPA. Most don't have one.

How do you prevent PII from being retained in model training?

Requires explicit API configuration and documented policy. Rarely in place.

Is your lead scoring system subject to EU AI Act classification?

Automated ranking of individuals may qualify as high-risk. Almost never assessed.

What is your data residency and can you confirm EU-only processing?

Default LLM API calls route through US servers. Non-compliant for many EU enterprise buyers.

How do you secure the CRM integration and what data does it access?

OAuth scopes are typically far broader than needed. A standard finding in every audit.

Do you have ISO 27001 or SOC 2 and can you share your last pen test?

Certification takes months. A pen test takes weeks to schedule. The deal can't wait.

How we help{ Marketing & Sales AI }

Every advisory and engineering engagement covers the specific issues that kill deals in this sector.

01

GDPR-compliant LLM pipeline design

We architect your AI data flows so personal contact data is redacted before it hits the LLM API, DPAs are in place with every third-party model provider, and data residency is documented and defensible.

02

EU AI Act classification assessment

We assess whether your lead scoring, outreach automation, or ranking systems fall under EU AI Act high-risk classification — and what you need to do if they do.

03

CRM integration security hardening

We review every integration — HubSpot, Salesforce, Apollo, Clay — and reduce OAuth scopes to least-privilege, document data access, and close the attack surface created by third-party data enrichment.

04

Enterprise security questionnaire prep

We pre-answer the security questionnaire specific to MarTech and SalesTech procurement. When the email arrives, you send it the same day.

05

Prompt injection defence for sales AI

AI outreach tools and sales agents are vulnerable to prompt injection via inbound data — contact records, email replies, website scraping. We build defences into the pipeline so your AI can't be turned against your clients.

How to work with us{ Engagement }

Three ways to work with CYBNODE

Choose the right entry point for where you are right now.

قدراتنا

We provide strategic insight on building automated, secure, and scalable digital solutions for your business.

Consulting

We have a team. We just need expert guidance on securing our AI product.

  • AI security architecture review.
  • Threat model for your specific stack.
  • GDPR & EU AI Act gap analysis.
  • Remediation roadmap your team can action.
  • Enterprise security questionnaire prep.
startups with developers already in place.

Build With Us

We need someone to build our AI product securely from the ground up.

  • Full AI product development (all 5 layers).
  • Secure agent & LLM pipeline design.
  • GDPR-compliant data architecture.
  • Stravok™ integrated from day one.
  • Compliance docs included at delivery.
  • Enterprise security questionnaire ready.
founders ready to build their AI product.

Stravok™ Platform

We want to run security and compliance ourselves. We just need the right tool.

  • Automated vulnerability scanning on every push.
  • Visual security pipeline builder.
  • Live compliance score (ISO 27001, GDPR, SOC 2).
  • One-click audit-ready reports.
  • Hardcoded secrets & drift detection.
technical teams who build in-house.

Ready to close your next enterprise deal?

Book a free 30-minute security review. We'll tell you exactly where your MarTech AI product is exposed — before procurement does.

Free · 30 mins · No commitment