RSI Security

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  • How External Service Providers Impact CMMC Compliance

    How External Service Providers Impact CMMC Compliance

    Working with the U.S. military or its private defense partners requires strict security controls to protect sensitive information. These expectations apply not only to defense contractors but also to the external service providers that support their systems and operations. To maintain CMMC compliance, organizations must account for all infrastructure that stores, processes, or transmits Controlled Unclassified Information (CUI), including assets managed by third parties.

    Is your organization prepared to meet CMMC requirements across both internal systems and external service provider environments?

    A CMMC-aligned advisory approach can help clarify shared responsibilities, reduce compliance gaps, and improve overall readiness. (more…)

  • How to Implement a PCI Information Security Policy

    How to Implement a PCI Information Security Policy

    A PCI Information Security Policy is a formal framework that defines how an organization secures payment cardholder data (CHD) and sensitive authentication data (SAD) in compliance with the PCI DSS. Implementing this policy ensures that security controls are enforced, vulnerabilities are minimized, and your organization maintains ongoing PCI DSS compliance.

    This policy provides a clear roadmap for protecting payment data, guiding risk assessments, personnel access management, and third-party vendor oversight to reduce the risk of breaches.

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  • ISO 42001 Continuous Monitoring and Improvement: The Foundation of Responsible AI Governance

    ISO 42001 Continuous Monitoring and Improvement: The Foundation of Responsible AI Governance

    ISO 42001 AI governance is becoming essential as artificial intelligence (AI) transforms industries, economies, and societies at unprecedented speed. While AI offers immense opportunities, it also introduces new risks, including biased algorithms, data privacy challenges, regulatory scrutiny, and reputational concerns. To address these, the International Organization for Standardization (ISO) developed ISO 42001, the world’s first global standard for AI Management Systems (AIMS).

    At the heart of ISO 42001 AI governance is a simple but powerful principle: continuous monitoring and improvement. AI systems cannot be treated as “set-and-forget” tools. They must be regularly monitored, tested, and refined throughout their lifecycle to remain accurate, transparent, and ethical. This approach follows ISO’s Plan-Do-Check-Act (PDCA) cycle, enabling organizations to adapt their AI governance to emerging risks, regulatory changes, and business opportunities.

    By embedding continuous monitoring and improvement into daily operations, ISO 42001 AI governance sets the global benchmark for accountability. Organizations that adopt these practices reduce compliance risks, build trust with stakeholders, and establish themselves as leaders in responsible AI.

    In this article, we explore how ISO 42001’s continuous monitoring and improvement principles work in practice, covering key requirements, implementation strategies, and how RSI Security helps organizations achieve AI governance readiness.

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  • PCI Compliance Sensitive Authentication Data Requirements

    PCI Compliance Sensitive Authentication Data Requirements

    When managing cardholder data (CHD), organizations must follow PCI compliance sensitive authentication data requirements to minimize the risk of data breaches and unauthorized access. The Payment Card Industry Data Security Standard (PCI DSS) enforces strict rules around sensitive authentication data. Specifically, businesses cannot store magnetic stripe data, PINs, or card verification values (CVVs) after authorization, ensuring cardholder information remains secure.

    For organizations exploring PCI DSS tokenization, these requirements matter even more. Tokenization helps remove sensitive card data from internal systems, reducing risk and simplifying compliance, but it must be implemented in alignment with PCI DSS storage and security rules. (more…)

  • What is PCI Rapid Comply?

    What is PCI Rapid Comply?

    PCI Rapid Comply by First Data is a tool designed to help organizations streamline aspects of PCI DSS compliance. For businesses that handle credit card payments, meeting the Payment Card Industry Data Security Standard (PCI DSS) is essential. While solutions like PCI Rapid Comply promise quick compliance, the reality is that true PCI DSS compliance requires a comprehensive, long-term approach. Most organizations find that a well-planned strategy—not a quick fix—is the most reliable way to achieve secure and seamless compliance. Keep reading to discover which PCI compliance solution is right for your business.
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  • STRIDE Framework Threat Modeling and ISO/IEC 42001

    STRIDE Framework Threat Modeling and ISO/IEC 42001

    The STRIDE framework is a structured approach to threat modeling that helps organizations identify and prioritize the most common and impactful cybersecurity threats. Originally developed by Microsoft, STRIDE remains widely used today to assess risks across modern systems, including AI-driven environments.

    For organizations pursuing ISO/IEC 42001 compliance, STRIDE framework threat modeling plays an important role in AI risk identification, mitigation planning, and governance alignment. It supports proactive security decision-making while also helping organizations meet overlapping requirements found in other cybersecurity and risk management frameworks.

    Is your organization prepared to apply STRIDE framework threat modeling effectively?
     Schedule a consultation to assess your readiness and strengthen your AI risk management program.

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  • Weekly Threat Report: State-Backed Surveillance, Apple Threat Alerts, and the New Data Breach Reality

    Weekly Threat Report: State-Backed Surveillance, Apple Threat Alerts, and the New Data Breach Reality

    This week’s cybersecurity landscape isn’t defined by a single, high-profile incident but by a global pattern of silent, high-impact targeting that often goes unnoticed. Apple recently issued a new round of cyber threat alerts to users across dozens of countries, warning that they could be targets of state-backed hacking and surveillance campaigns. While these alerts may not resemble traditional data breach, they highlight some of the most dangerous forms of data exposure: quiet, persistent attacks aimed at high-value individuals.

    For security and risk leaders, this evolving threat landscape raises three critical questions:

    1. What do these Apple threat alerts reveal about potential data breach ?
    2. How does state-backed surveillance change our understanding of data breach risks?

    What steps should organizations take to protect high-risk users and sensitive data?

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  • Do You Need a SOC 2 Type 1 or SOC 2 Type 2 Report

    Do You Need a SOC 2 Type 1 or SOC 2 Type 2 Report

    Preparing for a SOC 2 audit? Determining whether you need a SOC 2 Type 1 or a SOC 2 Type 2 report is crucial for your compliance and client trust. Ask yourself the following questions to guide your decision:

    • Do you need SOC 2 reporting at all for your organization? 
    • Would a SOC 2 Type 1 report be sufficient to meet your initial requirements? 
    • Do you require a SOC 2 Type 2 report to demonstrate ongoing security controls over time? 
    • Could your business benefit from having both a Type 1 and a Type 2 report?

     

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  • Weekly Threat Report: Coupang Breach, FFF Compromise, and the Global Rise of AI-Driven Cybercrime

    Weekly Threat Report: Coupang Breach, FFF Compromise, and the Global Rise of AI-Driven Cybercrime

    This week’s cybersecurity landscape highlights the growing risk of data breaches and cyberattacks worldwide. A major Coupang data breach exposed sensitive information for millions of customers, while the French Football Federation experienced its latest targeted compromise. Meanwhile, security researchers warn that AI-powered cybercrime is accelerating across industries.
     From digital marketplaces to national institutions, these incidents emphasize the urgent need for robust identity controls, insider risk mitigation, and AI-aware defensive strategies.

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  • NIST AI Risk Management Framework to ISO-IEC-42001 Crosswalk

    NIST AI Risk Management Framework to ISO-IEC-42001 Crosswalk

    Organizations implementing AI technologies must stay ahead of rapidly emerging governance and compliance requirements. Two of the most important frameworks are the NIST AI Risk Management Framework (NIST AI RMF) in the United States and the ISO/IEC 42001:2023 AI Management System standard used internationally. While each framework- serves a different regulatory environment, starting with the NIST AI Risk Management Framework provides a strong foundation that makes aligning with—and ultimately certifying against, ISO 42001 significantly easier.

    Is your organization preparing for NIST or ISO AI compliance? Schedule a consultation to get expert guidance.

     

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