# Gilberto Tejeda

Gilberto Tejeda writes about cybersecurity and enterprise architecture, including supply-chain risk, cloud security, and securing AI systems such as MCP. His posts focus on practical security controls and the business trade-offs behind architecture decisions.

- Profile: https://b2binfluencer.marketing/creators/gilberto-tejeda/
- LinkedIn: https://www.linkedin.com/in/gilberto-tejeda
- Topics: artificial-intelligence, supply-chain, cybersecurity, risk-management
- Based on 13 dated posts, latest 2026-09-23

## Summary

Gilberto Tejeda is most useful for practical security controls and visible business trade-offs in enterprise architecture decisions.

- Best for: Highly regulated firms needing risk-based technology selection and technical debt governance.
- Not for: Small startups seeking basic cybersecurity content for nontechnical audiences.
- Check first: Confirm your campaign targets senior technical decision-makers, not basic cybersecurity education.

### Takeaways

- Supplier security is part of the attack surface; check audit reports, questionnaires, contracts, breach history.
- AI systems such as MCP need strict governance, least privilege, and required controls before production.
- Architecture success depends on conscious business trade-offs, operational fit, and revisiting residual risk.

## Main ideas

- **Supplier security is a critical part of the attack surface**: Tejeda treats vendor selection as a core risk management function, advising businesses to treat suppliers as extensions of their own security posture. Before contracting, organizations should review certifications such as ISO 27001, use recognized frameworks for security questionnaires and ensure contracts cover cybersecurity responsibilities.
- **Architectural success hinges on conscious business trade-offs**: Tejeda argues that architectures need not conform perfectly to rigid blueprints: deviations from best practices can deliver business value sooner, but create “technical debt.” Teams should make that debt visible and decide together—across business, engineering and security—whether the cost and risk remain justified.
- **Technology selection must prioritize operational fit over market status**: Tejeda cautions against choosing a market leader on reputation alone. The best solution, they argue, delivers concrete value to the business, customers and partners while fitting the organization’s ecosystem and workflows. Evaluate technical capability, cost, scalability and, above all, fit with the client’s operational context.
- **AI systems require strict governance and foundational controls**: On emerging technologies such as Model Context Protocol (MCP), Tejeda says security depends on established principles, not an assumption that AI is inherently safe. MCP deployments can expose critical data when agents have excessive access, making governance and controls essential.

## Work to read

- [“Your supply chain is part of your attack surface”](https://www.linkedin.com/posts/gilberto-tejeda_your-supply-chain-is-part-of-your-attack-activity-7386084241958367232-xRKE)
- [“Who Owns Technical Debt?”](https://www.linkedin.com/posts/gilberto-tejeda_enterprisearchitecture-solutionarchitecture-activity-7499103549751222273-2YRs)
- [“The market leader solution is not always the best fit”](https://www.linkedin.com/posts/gilberto-tejeda_enterprisearchitecture-solutionarchitecture-activity-7500190949935927296-UzhT)
- [“82% de los MCP en producción…”](https://www.linkedin.com/posts/gilberto-tejeda_mcp-security-statistics-2026-cves-vulnerabilities-activity-7508540938219085824-L_Sp)

## Partnerships

Gilberto Tejeda is a cybersecurity and enterprise architecture expert focused on practical security implementation. Their work addresses governance issues such as managing technical debt, securing supply chains, mitigating risks in cloud environments (like MCP), and applying the principle of least privilege to modern AI-driven systems. They advise on vendor risk assessments and the security controls enterprise infrastructure needs.

## Alternatives

- Manuel Acevedo: Choose Manuel Acevedo when the financial-services firm's procurement problem is really a CRM and customer-messaging workflow problem. Acevedo's posts focus on how AI changes commercial operations inside Salesforce and how WhatsApp Business API costs punish poorly designed service flows. Acevedo is the stronger choice if the engagement must first decide how sales teams will use Claude inside Salesforce or how to cut unnecessary back-and-forth in WhatsApp support before security review begins.
- Pablo Moena: Choose Pablo Moena when the firm needs to redesign revenue operations and treat AI-agent governance as a commercial-process issue. Their hiring post describes RevOps consulting and HubSpot implementation; the UNBOUND post argues bad context is worse than no AI and that proof of value now precedes commitment. That fits a firm whose procurement and technical-debt problem is entangled with CRM data quality, sales-stage definitions, and who governs automated commercial actions.
- Daniel Palacio: Choose Daniel Palacio when the financial firm wants to test AI-driven customer experience or new digital products and values a builder who has shipped consumer-facing AI. Palacio's posts describe MixingMusic.ai, CatolicosGPT, GuitarraIA, and an AI-commerce comic store, including moving from browsing to conversation. That is relevant if the procurement review is attached to a customer-facing AI product pilot rather than back-office security architecture.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/