Cybersecurity Considerations in GTM Technology: Protecting Sensitive Customer Data in AI-Powered Sales Platforms
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V7I1P115Keywords:
Cybersecurity, Go-To-Market Technology, Data Protection, Sales Platforms, CRM Security, AI Security, Compliance, Data PrivacyAbstract
Go-to-market organizations increasingly rely on interconnected technology platforms that collect, process, and store sensitive customer data across sales, marketing, and customer success functions. The integration of artificial intelligence into these platforms introduces additional security considerations including data exposure through model training, prompt-injection vulnerabilities, and third-party AI service risks. This paper presents a framework for implementing cybersecurity controls in GTM technology stacks while maintaining operational efficiency. We describe common security risks in CRM systems, marketing automation platforms, and AI-powered sales tools, along with practical mitigation strategies including access controls, data classification, encryption, vendor security assessment, and incident response planning. The framework addresses compliance requirements for regulations including GDPR, CCPA, and HIPAA where applicable. While examples reference common GTM platforms and cloud providers, the security principles apply broadly across technology stacks and organizational contexts.
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