Starting Letter: V

Vendor Risk Management

Vendor Risk Management

VRM is the practice of evaluating and monitoring the risk posture of third parties an organization engages with throughout the entire vendor lifecycle — from selection to off-boarding. This process aims to ensure vendors adhere to legal, regulatory, and organizational standards while maintaining the quality and security of the products or services they deliver.

A comprehensive VRM program assesses various potential vendor risks, including financial, operational, reputational, and legal, empowering merchants to make informed decisions about vendor selection and renewal. 

One risk stands out in today’s digital business landscape, where sensitive data is the cornerstone of business operations: third-party cyber risk.

Third-Party Cyber Risk

Modern organizations’ reliance on vendors to streamline operations, enhance efficiency, and remain competitive often demands external access to systems, networks, and sensitive data – widening their cyber-attack surface.

For instance, a security breach within a third-party system can have a wide-reaching impact on the merchant, including compromised data, regulatory penalties, reputational damage, and operational disruption. 

As cyberattacks become increasingly sophisticated and pervasive, organizations must proactively evaluate and monitor these risks through their VRM program. Assuring robust vendor cybersecurity posture maintains trust, secures sensitive data, and ensures business continuity in an interconnected digital ecosystem.

Amid the ubiquity of online payments, which have become the lifeblood of modern businesses, this process must be augmented by rigorous vendor risk analysis in accordance with Payment Card Industry Data Security Standards (PCI DSS) – a set of standards designed to ensure that organizations that accept, process, store, or transmit credit card information maintain a secure environment.

Proactive merchants leverage automation to streamline and elevate the vendor PCI DSS compliance analysis process. This increases visibility into vendor behaviors and risk, empowering users with a secure, expert-driven perspective on their data security interactions.

Vendor Risk Management Process

To ensure a vendor aligns with its compliance, security, and operational standards before, during, and after the partnership, merchants must follow a systematic VRM process:

  • Vendor identification – clearly define requirements, including cybersecurity and regulatory compliance.

  • Risk assessment – evaluate risks associated with each vendor, including access to critical systems, security practices and financial stability.

  • Due diligence – conduct a deeper evaluation of each vendors security credentials before onboarding, including security policies and business continuity plans.

  • Contractual agreements – formalize expectations and responsibilities, including incident response, service-level agreements (SLAs), and regulatory compliance.

  • Continuous monitoring – ongoing assessment of vendor performance and risk levels, including regular security audits and compliance reviews.

  • Risk mitigation and remediation – address and mitigate any identified risks, including collaboration with vendors and implementing contingency plans.

  • Documentation and reporting – achieve transparency and compliance by maintaining records of risk assessments, audits, and vendor comms.

  • Off-boarding – terminate vendor access to systems and data when a vendor relationship ends.

Benefits of Vendor Risk Management

Adopting a systematic approach to assessing vendor risk when developing and managing these relationships offers merchants a range of benefits, including:

  • Decision-making – comprehensive risk assessments empower informed decisions when selecting or renewing vendor contracts and flag high-risk vendors for closer monitoring.

  • Security and data protection mitigates data breaches or unauthorized access by ensuring vendors comply with security best practices.

  • Regulatory compliance – ensures vendor adherence to industry regulations such as PCI DSS, preventing potential fines, legal consequences and reputational damage due to non-compliance.

  • Business continuity – identifies potential risks to supply chains, processes, or services and ensures vendors have robust contingency plans to address threats like cyberattacks.

  • Reputation management – protects the merchant’s reputation by mitigating vendor-related incidents like data breaches. It demonstrates due diligence and robust risk management, increasing stakeholder confidence.



The benefits of a VRM program underscore that it is an investment in an organization's security, compliance, operational resilience, reputation, and financial stability, making it an essential component of modern business strategies.

Vibe Coding

What Is Vibe Coding?

Vibe coding is an informal development paradigm where developers explain what they want to create the "vibe" or intent of the solution, and heavily leverage AI tools to create, edit, or finish the code. The developer directs the process using natural-language prompts, high-level instructions, and iterative feedback, rather than manually writing each line. 

The focus is no longer on how the code is written but on what the code delivers. Vibe coding, at its simplest, is about the clear communication of ideas, with AI handling much of the implementation.

Origins and Evolution of Vibe Coding

Vibe coding didn’t come up from academic research or a formal approach. It grew organically alongside the rise of:


  • AI coding assistants (like ChatGPT, Copilot, and similar tools)

  • Prompt-based workflows

  • Low-code and no-code platforms

  • Faster product iteration demands


Workflows began to change as developers realized they could describe logic in natural language, such as plain English, and get code in return. The importance of writing perfect syntax fell behind a clear explanation of intent. This transition eventually became what most would informally refer to as “coding by vibes”.

Key Features of Vibe Coding

There are some key features of vibe coding, which are as follows:


  1. Natural Language-Driven Development: Programmers tend to write in natural language about features, logic, or patches instead of writing code in a structured manner.

  1. Significant Use of AI: The use of AI-powered tools to write boilerplate code, logic, tests, or even entire components is a significant feature.

  1. Fast Iteration: Code is improved through back-and-forth prompting rather than manual code rewriting.

  2. Outcome-Oriented Mentality: The key focus is on problem-solving or feature delivery rather than code aesthetics from the very beginning.

How Vibe Coding Works

The typical workflow for the vibe coding system will be as follows:


  1. Describe the intent: The programmer will describe what he or she intends the system or feature to do.

  1. AI generates code: The AI will then, based on this description, create an initial code version.

  1. Review and adjust: The programmer will review and refine this code.

  2. Iterate through prompts: Refine this code by describing what needs to be done, rather than doing it all by hand.

Tools Commonly Used in Vibe Coding

Vibe coding is based on a combination of the latest technologies, such as:


  • AI-assisted and prompt-driven development tools – enabling code generation, refactoring, and natural-language-based workflow creation

  • Low-code/no-code platforms – where less coding is needed

  • IDE integrations – that support inline AI suggestions and completions


These technologies make entry easier and speed up development considerably.


Benefits of Vibe Coding

Vibe coding offers several advantages:


  1. Faster Development: Features can be built and tested in minutes rather than hours or days.

  1. Lower Barrier to Entry: Non-traditional developers and beginners can build functional applications without deep knowledge of the syntax.

  1. Encourages Creativity: Developers can experiment freely without worrying about breaking things.

  2. Productivity Boost for Experienced Developers: Senior developers use Vibe coding to handle repetitive tasks, freeing them to focus on architecture and decision-making.

Limitations and Challenges

Despite its appeal, vibe coding has drawbacks:


  1. Code Quality Issues: There may be issues regarding the quality of the code generated by the AI.

  1. Maintainability Issues: Code generated by "vibes" may get messy if not properly reviewed and organized.

  1. Over-Reliance on the AI: There may be a problem if the developer forgets the basic concepts due to over-reliance on the AI.

  1. Security Issues: There may be issues regarding the security of the code generated by the AI.

  2. Intellectual Property Issues: There may be concerns regarding the ownership, licensing, and potential reuse of code generated by the AI.

Who Is Vibe Coding For?

Vibe coding is especially useful for:


  • Newbies learning how to code

  • Startup founders building MVPs

  • Product designers bringing ideas to life

  • Skilled developers who need speed and efficiency


But for safety-critical or performance-critical systems, you should exercise caution.

The Future of Vibe Coding

Vibe coding will probably become more structured and consistent as AI models improve. Developers can waste time on system development, constraint definition, and output validation, whereas AI handles the specifics of implementation.


Instead of substituting developers, vibe coding is redefining the role as a judgment- and creativity-driven problem-solving role.


Vibe coding is a response to the current state of software development, moving away from inflexible syntax-heavy workflows in favor of flexible, intent-based collaboration with AI. 


Although it is connected with some challenges, it also provides the opportunity to develop much faster, engage more, and create something new.


When used reasonably, vibe coding has nothing to do with not knowing how to code; it has everything to do with having a desired result and knowing the proper tools to achieve it quickly.