Latest Articles

Headline: Stop Threats Before They Start, Catch Them When They Slip Through, and Fix Them When They Fail The Three Lines of Defense IT controls are categorized by their purpose: preventive, detective, or corrective. Each plays a distinct role in a defense-in-depth strategy. Comprehensive coverage requires all three working together. Preventive Controls Purpose: To stop an undesirable event from occurring in the first place. Characteristics: Proactive Most effective (prevents harm entirely) Often the most cost-effective Cannot prevent all events Examples: Category Example Access Control Password policies, MFA, role-based access control (RBAC) Network Security Firewalls, intrusion prevention systems (IPS) Application Security Input validation, secure coding practices Physical Security Badge access, security guards Real-world application: CIS Control 6 focuses on access control management—using processes and tools to create, assign, manage, and revoke access credentials and privileges . Accounts should only have the minimal authorization needed for the role, and developing consistent access rights for each role is a best practice . Detective Controls Purpose: To identify an undesirable event after it has occurred. Characteristics: Reactive Essential when preventive controls fail Provide visibility into security posture Enable rapid response Examples: Category Example Logging System logs, audit trails Monitoring SIEM, intrusion detection systems Auditing Access reviews, compliance assessments Analysis Anomaly detection, trend analysis Corrective Controls Purpose: To restore the system after an undesirable event. Characteristics: Reactive Minimize impact of failures Enable recovery Essential for resilience Examples: Category Example Backup and Recovery Data backups, disaster recovery Incident Response IR plans, containment procedures Patch Management Vulnerability remediation Restoration System restoration, data recovery The Defense-in-Depth Model Effective controls management uses all three types in layers: text Preventive → Detective → Corrective (Stop it) → (Find it) → (Fix it) Example: Ransomware Protection Layer Control Type Example Layer 1 Preventive Anti-malware software, email filtering, user training Layer 2 Detective Endpoint detection and response (EDR), threat hunting Layer 3 Corrective Backup and recovery, incident response The Problem with Controls Proliferation Many organizations have built up layers of controls reactively—responding to regulatory changes, incidents, and shifting priorities. The result is often a complex and burdensome framework weighed down by excess controls, many of which are inefficient, redundant, or misaligned with actual risk and compliance needs . The consequences: Demonstrating effective risk management becomes difficult Increased risk of non-compliance as controls are misaligned with regulatory expectations Ineffective assurance and audit fatigue as excessive controls dilute testing capacity Ineffective and complex change management as it's harder to update and embed controls Conclusion A balanced approach to controls management incorporates preventive, detective, and corrective controls. Preventive controls are the first line of defense, detective controls catch what slips through, and corrective controls restore services when failures occur. Organizations should review their control mix to ensure balanced coverage. Action Items for Your Organization Classify your existing controls as preventive, detective, or corrective Identify gaps in your control mix Ensure you have appropriate coverage across all three types Review and rationalize controls to eliminate redundancy Prioritize controls that address the most significant risks    

Headline: Audits Succeed or Fail on Evidence — Build a System That Generates It Automatically The Evidence Challenge One of the biggest challenges in controls management is evidence collection. Manual evidence collection is time-consuming, error-prone, and unsustainable. The problem: Evidence is scattered across systems Evidence is collected manually Evidence is out of date Evidence is hard to find Evidence is hard to organize What Is Evidence? Definition: Proof that a control is operating effectively. Types of evidence: Type Example System logs Access logs, audit logs, event logs Reports Vulnerability reports, compliance reports Screenshots Control configuration, policy settings Documents Policies, procedures, approvals Interviews Control owner statements, walkthroughs The Evidence Lifecycle 1. Create Evidence is generated through the normal operation of controls. Every control should be designed to produce evidence automatically. 2. Collect Evidence is collected and organized. Manual collection is time-consuming; automated collection is preferred. 3. Store Evidence is stored in a secure, organized manner. Evidence should be retained for the required retention period. 4. Organize Evidence is organized by control, standard, and audit. Organization makes retrieval easy. 5. Retrieve Evidence is retrieved during audits. Retrieval should be fast and easy. Evidence Best Practices 1. Evidence Should Be the Byproduct of Operating Controls Evidence should be the byproduct of operating controls, not a separate activity . For each control, define : Evidence source: System logs, exports, screenshots, reports Evidence owner: Who is responsible for evidence? Evidence frequency: How often is evidence collected? Evidence retention: How long is evidence kept? 2. Automate Evidence Collection Automation eliminates manual effort: Manual Collection Automated Collection Screenshots of logs API integration Downloading reports Automated report generation Organizing files Automatic organization Manual validation Automated validation 3. Centralize Evidence Storage Evidence should be stored in a central location: Easy to find Secure Organized by control and standard Version controlled Audit ready 4. Maintain Evidence Quality Quality Dimension Requirement Completeness All required evidence is present Timeliness Evidence is current Accuracy Evidence is correct Authenticity Evidence is genuine The Common Controls Framework Advantage A Common Controls Framework enables evidence reuse across multiple frameworks: Standard Control Evidence ISO 27001 Access Control Evidence A NIST CSF Access Control Evidence A SOC 2 Access Control Evidence A One control, one set of evidence, many standards satisfied. Conclusion Evidence is the foundation of audit readiness. Organizations that build systems that generate evidence automatically, store it centrally, and organize it by control and standard will be audit-ready at all times. Action Items for Your Organization Identify evidence sources for each control Automate evidence collection Centralize evidence storage Organize evidence by control and standard Maintain evidence quality Enable easy retrieval during audits  

Headline: Two Types of Control Testing — Design Effectiveness and Operating Effectiveness The Two Types of Control Testing Controls must be tested for both design and operating effectiveness. Both are essential for audit readiness. Design Effectiveness Testing Purpose: To determine whether a control is designed appropriately to mitigate the identified risk. Definition: Is the control designed effectively to achieve its control objective? Questions to answer: Does the control address the identified risk? Is the control designed to prevent or detect the risk? Is the control design consistent with regulatory requirements? Is the control clearly documented and understood? How to test design effectiveness: Review control documentation Interview control owners Walk through the control process Compare to regulatory requirements Evaluate against best practices When to test design effectiveness: When the control is first implemented When the control is redesigned When requirements change When risks change Operating Effectiveness Testing Purpose: To determine whether a control is operating as designed on a consistent basis. Definition: Is the control operating as designed and is it effective on a consistent basis? Questions to answer: Is the control being executed consistently? Is the control being executed as documented? Is the control achieving its objective? Is the control generating adequate evidence? How to test operating effectiveness: Review evidence of control execution Observe the control being performed Reperform the control Test the completeness and accuracy of evidence Analyze exceptions and deviations When to test operating effectiveness: Regularly (quarterly, semi-annually, annually) After changes to the control After changes to systems or processes When issues are identified Design vs. Operating Effectiveness Dimension Design Effectiveness Operating Effectiveness Purpose Is it designed right? Is it working right? Focus Control design Control operation When Design phase, significant changes Regular intervals Evidence Documentation, interviews Execution evidence, observations Outcome "This control should work" "This control does work" Testing Approaches 1. Walkthroughs A walkthrough is a procedure that involves tracing a transaction from initiation through completion to understand the process and identify control points . Example: Signal Corp. performed a walkthrough of each significant financial process and documented in a process flow diagram all the applications that supported these processes, including automated controls and controls that depended on system-generated reports . 2. Reperformance Reperforming the control to verify it was executed correctly. 3. Inspection Reviewing evidence of control execution. 4. Observation Observing the control being performed. 5. Inquiry Interviewing control owners and operators. Control Testing Program Elements of a control testing program: Element Description Control inventory Complete list of controls Testing schedule When each control will be tested Testing procedures How each control will be tested Responsibility Who will test each control Documentation How testing will be documented Reporting How findings will be reported Remediation How issues will be addressed Conclusion Control testing is essential for audit readiness. Organizations that test both design and operating effectiveness will have controls that are both well-designed and operating effectively. Action Items for Your Organization Document your control testing program Test design effectiveness for new controls Test operating effectiveness regularly Use multiple testing approaches Document test results Address issues promptly

Headline: What Gets Measured Gets Managed — A Complete Guide to KRIs and KCIs The Measurement Imperative You can't manage what you don't measure. KRIs and KCIs are the metrics that enable effective controls management. Key Risk Indicators (KRIs) Definition: Metrics that provide early warning signals of increasing risk exposure. Characteristics of effective KRIs: Predictive: Signal future risk Quantifiable: Measurable Actionable: Trigger specific responses Relevant: Tied to business objectives Examples of IT KRIs: Category KRI Indicator of Risk Cybersecurity Number of unpatched vulnerabilities Increasing indicates rising risk Access Control Privileged accounts without MFA Non-compliant accounts are a control gap Third-Party Risk Vendors without recent security reviews Unreviewed vendors create unknown risk Incident Response Time to detect and respond Increasing indicates process gaps Compliance Audit findings and exceptions Findings indicate control failures Key Control Indicators (KCIs) Definition: Metrics that measure the effectiveness of controls. Characteristics of effective KCIs: Measurable: Can be quantified Actionable: Trigger specific responses Tied to controls: Reflect control operation Trendable: Show changes over time Examples of IT KCIs: Category KCI What It Measures Access Control % of access reviews completed on time Control operating effectiveness Patch Management % of vulnerabilities remediated on time Control effectiveness Incident Management % of incidents resolved within SLA Control effectiveness Audit Number of control exceptions Control gaps KRIs vs. KCIs Dimension KRIs KCIs Focus Risk Controls Purpose Early warning Effectiveness Timing Forward-looking Current/backward-looking Measure Risk exposure Control operation Action Risk response Control improvement The Relationship Between KRIs and KCIs KRIs and KCIs work together: text KRI signals increasing risk → KCI shows control effectiveness → Action taken Example: Signal Measurement Action KRI: Unpatched vulnerabilities increasing Indicates rising risk Investigate KCI: Patch compliance rate declining Control effectiveness dropping Improve patching process KRI: Vulnerabilities decreasing Risk exposure reducing Continue improvement Implementing KRIs and KCIs Step 1: Identify What to Measure What are the key risks? What are the key controls? What would indicate risk is increasing? What would indicate controls are effective? Step 2: Define the Metrics What will be measured? How will it be measured? What is the target? What is the threshold? Step 3: Establish Monitoring How will the metric be collected? How often will it be measured? Who will be responsible? How will it be reported? Step 4: Take Action What happens when a threshold is breached? Who is responsible for action? How will progress be tracked? Conclusion KRIs and KCIs enable effective controls management. Organizations that measure both risk and control effectiveness will have better visibility into their risk posture and be able to take proactive action. Action Items for Your Organization Identify key risks and controls Define KRIs for key risks Define KCIs for key controls Establish monitoring and reporting Set thresholds for action Review and refine metrics regularly  

Headline: Point-in-Time Compliance Is Obsolete — Continuous Monitoring Is the New Enterprise Standard The Limitations of Point-in-Time Compliance Traditional compliance relies on point-in-time assessments—annual or quarterly audits that provide a snapshot of compliance at a specific moment. In a world of constant change, these snapshots are obsolete the moment they're completed. The problem: Systems change continuously Threats evolve rapidly Regulatory requirements increase Manual assessments can't keep pace What Is Continuous Controls Monitoring? Continuous controls monitoring (CCM) is the process of continuously monitoring and assessing the effectiveness of controls . It provides: Real-time visibility: Understand control status at any moment Immediate gap detection: Identify control failures as they occur Always-on audit readiness: Be prepared for audits at any time Automated evidence collection: Eliminate manual evidence gathering Continuous monitoring has become essential as organizations face pressure to optimize resources and strengthen their risk postures. Manual processes often fail to keep up with the pace of regulatory change and the proliferation of cyber threats . How Continuous Monitoring Works 1. Real-Time Data Collection Systems continuously collect and analyze data from multiple sources—logs, configurations, and security tools—to detect risks as they emerge. 2. Automated Control Assessment AI-powered platforms provide real-time assurance of security controls, eliminating the need for manual processes . The platform gives GRC teams an overview of their security controls and provides ongoing visibility and automatic updates . 3. Immediate Alerting When control failures or gaps are detected, alerts are triggered immediately. Teams are notified with clear actionable steps . 4. Automated Remediation Some platforms can initiate remediation workflows automatically, reducing response time. The Benefits of Continuous Monitoring Benefit Impact Always audit-ready No last-minute scramble for evidence Immediate gap detection Control failures are identified instantly Reduced audit fatigue Less manual evidence collection Stronger security posture No gaps between assessments Better decision-making Real-time data drives decisions Reduced manual work Automation handles repetitive tasks Real-world impact: Scytale's continuous control monitoring feature allows organizations to make sure they are always on top of their compliance, saving thousands of hours in ongoing compliance monitoring . By automating the assessment and monitoring of technical controls, organizations can automate over 50% of yearly assessed controls . The Technology Behind Continuous Monitoring Agentic AI-based platforms offer continuous oversight and real-time assurance of security controls . Key capabilities include: AI-powered risk visibility and management: Receive clear mitigation steps if a control gap surfaces  Real-time reporting and insights: Get real-time visibility into your compliance status  On-demand testing: Identify compliance gaps before the auditor  The Challenge of Controls Proliferation However, organizations that have accumulated controls reactively—often as a result of overlapping, manual, or outdated controls—may expose themselves to heightened legal and regulatory risks . Before implementing continuous monitoring, organizations may need to rationalize their control environment first. Conclusion Point-in-time compliance is quickly becoming obsolete. Continuous controls monitoring is the new enterprise standard. Organizations that implement continuous monitoring will be audit-ready at all times, detect gaps immediately, and maintain stronger security posture. Action Items for Your Organization Assess your current compliance model—is it point-in-time or continuous? Identify controls suitable for continuous monitoring Evaluate continuous monitoring platforms Automate evidence collection Set up real-time alerting for control failures Measure the reduction in manual effort and audit time  

Third-Party Data Breaches Increased 49% — Why TPRM Is Now the Top Security Priority The TPRM Reality Third-party risk has become the primary attack surface . Third-party data breaches increased 49% year-over-year between 2023 and 2024, and 74% of security professionals cite insufficient vendor security as their biggest concern . The September 2025 Jaguar Land Rover attack is a stark example: production halted for five weeks, triggering supply chain disruptions, with economic losses amounting to nearly £1.9 billion . The M&S 2025 cyber attack led to losses across multiple critical areas, with M&S's market value falling by over £700 million . The TPRM Challenge Manual Processes 34% of organizations admit they still rely on manual spreadsheets to identify and manage third-party risks . Budget Volatility When organizations face budget reductions, active team involvement in TPRM drops to 52%, compared to 84% in environments with expanding budgets . Vendor AI Risk Vendor AI governance introduces new challenges. A vendor tool that initially enters as a productivity assistant may later gain access to emails, meeting notes, internal documents, and customer records—significantly changing its operational risk profile after procurement . How AI Is Transforming TPRM Agentic AI is replacing periodic, questionnaire-driven assessments with continuous monitoring models : Traditional TPRM AI-Powered TPRM Periodic assessments Continuous monitoring Manual questionnaires Automated data retrieval Static risk scores Dynamic risk scoring Point-in-time snapshots Real-time visibility Reactive (after breach) Proactive (before breach) Providers such as Wipro and HCLTech are augmenting their GRC and TPRM capabilities through AI-driven document processing and ecosystem integrations . The Continuous TPRM Model In 2026, modern organizations are centralizing third-party workflows within a dedicated platform to ensure : Clear ownership of vendor relationships Automated reassessment cadences Continuous evidence tracking Integration with external risk signals Real-time risk scoring Key TPRM Questions When evaluating vendor AI risk, organizations should ask : Does the vendor use customer data to train models? Which subprocessors provide AI capabilities? Is there human review for high-impact outputs? Are prompts, outputs, and decisions logged? Has the vendor done an AI impact/risk assessment? The Regulatory Driver Government agencies have begun actively offboarding contractors who fail to meet strict Cybersecurity Maturity Model Certification (CMMC) mandates or cannot guarantee that controlled unclassified information (CUI) is housed in a FedRAMP Moderate authorized environment . Conclusion Third-party risk management is no longer confined to initial vendor onboarding—it has become an ongoing operational requirement. Organizations that centralize TPRM workflows, implement continuous monitoring, and assess vendor AI risk will reduce their primary attack surface. Action Items for Your Organization Inventory all third-party vendors with access to your systems or data Implement automated TPRM workflows Assess vendor AI risk Establish continuous monitoring for critical vendors Define reassessment cadences Integrate TPRM with your risk register