AI SDR Security & Compliance for Sales Leaders

Where does my prospect data actually live when I use an AI SDR?

Three layers to understand: (1) the platform itself stores prospect data in its database, (2) AI generation often calls third-party LLM providers (OpenAI, Anthropic, Google), and (3) email sending goes through SMTP infrastructure (vendor's or yours). Each layer has its own data residency, retention, and processing terms. Get all three in writing in the Data Processing Agreement (DPA).

What does GDPR mean for AI cold outbound in 2026?

GDPR applies whenever you contact an EU resident, regardless of where your company is. For cold B2B outbound, "legitimate interest" is the most common lawful basis — but you must document the balancing test, honor data subject requests within 30 days, and include opt-out language in every email. AI doesn't change the law, but it changes the volume of contacts you create, which makes process discipline more important.

What about CAN-SPAM and CASL?

• CAN-SPAM (US): Accurate sender info, working unsubscribe, no misleading subject lines. Applies to every commercial email.
• CASL (Canada): Stricter — requires express or implied consent for commercial electronic messages. Cold outbound to Canadian addresses needs documented justification.
• Country-specific laws: Germany's UWG, France's LCEN, UK PECR. Each has nuances.

AI doesn't exempt anything. If anything, the volume amplifies penalty exposure.

What SOC 2 and ISO 27001 questions should I ask?

• Show me your current SOC 2 Type 2 report.
• When was your last penetration test? Show me the executive summary.
• What's your security incident notification SLA?
• Do you have ISO 27001 certification or are you working toward it?
• What's your vendor risk management policy for sub-processors (LLM providers)?
• What encryption do you use at rest and in transit?
• How do you handle access reviews and offboarding?

What AI-specific risks should I evaluate?

1. Model training on your data. Confirm in writing that your prospect data is not used to train the vendor's or the LLM provider's models.
2. Prompt and output logging. Where are prompts stored? For how long? Who can access them?
3. Hallucination liability. If the AI makes a false claim about your product, what's the vendor's mitigation?
4. Cross-tenant data leakage. Are model contexts strictly isolated per customer?
5. LLM provider dependencies. What happens if OpenAI or Anthropic has an outage or changes policy?

What access controls should the platform support?

• Role-based access (admin, manager, agent, viewer) with granular permissions.
• SSO via SAML or OIDC — required for any enterprise deployment.
• Audit logging of all configuration changes, prompt edits, and data exports.
• Per-user activity logs showing what each user did, when.
• Data export controls — who can export prospect lists, who can't.

What does incident response look like for AI SDR vendors?

Mature vendors document: notification SLA (typically 24–72 hours for any incident affecting customer data), root cause analysis timeline, customer communication channels, and remediation commitments. Ask for an example from the past 12 months — vendors that have never had an incident haven't been around long enough or aren't telling you the whole truth.

What documentation should I require before signing?

• Current SOC 2 Type 2 report.
• Signed Data Processing Agreement covering all sub-processors.
• Standard Contractual Clauses (SCCs) if EU data crosses borders.
• Information security policy summary.
• Sub-processor list with names, purposes, and locations.
• Privacy policy aligned with how the platform actually operates.
• Insurance certificate (cyber liability minimum).

Common security and compliance mistakes buyers make

• Skipping the DPA review because procurement wants to close the deal.
• Accepting "we're SOC 2 compliant" without seeing the report.
• Not asking about LLM provider data usage.
• Forgetting that GDPR applies even to small EU contact volumes.
• Storing API keys and credentials without rotation policy.

Best practices for ongoing security operations

• Quarterly access reviews for all AI SDR users.
• Annual review of vendor SOC 2 reports.
• Monitor sub-processor list for changes.
• Periodic data minimization audits — delete what you don't need.
• Tabletop a breach scenario with the vendor at least once.

How SendroAI approaches security and compliance

SendroAI maintains SOC 2 Type 2, encrypts customer data at rest and in transit, signs DPAs with full sub-processor disclosure, and contractually prohibits model training on customer prospect data. EU data processing follows Standard Contractual Clauses. Role-based access, SSO, and audit logging ship as native capabilities, not enterprise add-ons.