Event Contingency Planning

🚨 Closing the Gap: Strengthening ICT Resilience 💪🏽 When ISO/IEC 27031:2025 was published, it caught my attention immediately. While ISO/IEC 27001 and ISO 22301 provide strong foundations in information security and business continuity, they treat ICT as a supporting player, not the lead. Yes, I know ISO/IEC 27031 isn’t a certifiable standard. My posts are about creating robust resilience frameworks that extend beyond achieving certification as a company. This is where ISO/IEC 27031 can be used as a supplemental guideline to create additional company controls to mature/improve resiliency. In today’s reality, ICT is the backbone. If it fails, everything else follows. That’s why I’ve moved quickly to integrate new ICT-specific controls into the framework my team has developed. Why? 1️⃣ Bridge the gap between security, continuity, and ICT readiness. 2️⃣ Reduce recovery times and data loss after incidents. 3️⃣ Align with global best practices and demonstrate resilience maturity. How? Here’s what you should consider implementing: ✅ Set precision recovery targets: Establish ICT-specific Minimum Business Continuity Objectives (MBCO), Recovery Time Objectives (RTO), and Recovery Point Objectives (RPO) for every critical service. ✅ Map the entire digital backbone: Document end-to-end system dependencies, data flows, and architecture to prioritize recovery where it matters most. ✅ Plan for the unthinkable: Build ICT-specific disruption scenarios into our enterprise risk models, from ransomware to cross-region outages. ✅ Know exactly when to act: Define explicit triggers for activating ICT continuity plans and integrating them into enterprise incident response. ✅ Engineer resilience into the core: Require tested redundancy strategies for infrastructure, applications, and data layers. ✅ Prove it in the field: Expand exercise programs to validate full ICT restoration capabilities under realistic, high-pressure scenarios. ✅ Put vendors on the hook: Hold critical third parties to contractual recovery SLAs, with testing and performance reporting. ✅ Track readiness like a KPI: Measure ICT resilience through dedicated metrics, scorecards, and internal audits to ensure continual improvement. 🤌🏽 The result: The framework my team has developed now forms a three-standard powerhouse, ISO/IEC 27001 + ISO 22301 + ISO/IEC 27031, that strengthens our ability to operate through anything, from cyberattacks to data center failures. 🤪 (Don’t worry, we’ve included NIST to develop our framework as well) 📘 Next step: I’ll continue to share lessons learned with the broader resilience community and encourage adoption across industries as we continue to implement any changes. #ISO27031 #ResilienceByDesign #ICTResilience #BusinessContinuity #CyberResilience #ComplianceCulture #RiskManagement #ISO27001 #ISO22301 #Resilience #ProgramArchitecture #BCDR

The AWS Outage Every CISO Should Be Talking About On October 20, 2025, Amazon Web Services suffered a major disruption in its US-East-1 region that rippled across the global internet. The incident disrupted over 2,500 organizations and exposed widespread dependency on a single region for DNS, database, and authentication services. This wasn’t a cyberattack but the outcome mirrored one. Operations stalled, dashboards went dark, and users around the world were locked out of mission-critical systems. Businesses assuming the cloud guaranteed resilience received a sharp reminder: convenience doesn’t guarantee continuity. What Actually Happened Investigations show that a centralized DNS and DynamoDB chain failure triggered cascading outages across AWS’s identity and control layers. Within minutes, services supporting financial platforms, collaboration tools, and enterprise apps failed. Critical platforms like Snapchat, Coinbase, Atlassian, and government systems such as HMRC were affected. Outages spread not because of compromised data, but because shared configurations and dependencies were not regionally isolated. Lessons for CISOs 1. Resilience Is Executive-Driven Resilience can no longer live exclusively within IT. It sits at the intersection of cybersecurity, risk, and business continuity. Boards and CISOs should establish resilience KPIs reflecting real recovery time, not just uptime percentages. Live failure simulations are essential; automation alone is not enough. 2. Treat Multi-Cloud as a Security Control Cloud diversity is essential for survival. CISOs must ensure alternate DNS, region isolation, and identity redundancy are architected into design, not deferred to vendor defaults. 3. Understand AI’s Hidden Pressure on Cloud Hyperscalers expanding to support AI workloads face unprecedented traffic and complex dependencies. Analysts expect more frequent service-level disruptions as AI data demands surge. Continuity plans must include AI workload impacts. 4. Enterprise Autonomy Is Making a Comeback Hybrid and repatriated architectures gain interest due to sovereignty, compliance, and autonomy needs. Storing critical data and identity functions outside hyperscalers is a resilience strategy, not just a cost decision. The Boardroom Takeaway The AWS outage was a warning. Incidents will come not only from attacks but from complexity. Boards should ask: Have we mapped cloud dependencies by region and service? Are our authentication and DNS systems isolated from the same failure chain? Could we maintain core operations for four hours without our primary region? Survival hinges on planning for inevitable provider failures, not just hoping for uptime. #CISO #CyberResilience #AWS #BusinessContinuity #CloudSecurity #RiskManagement #DigitalInfrastructure #AWSOutage #BoardGovernance #CloudStrategy #Cybersecurity

🔥 When a data center fire wipes out 858 TB of government data — and there was no backup 😳 South Korea’s government is now grappling with what may be irreversible data loss after a battery fire at a Daejeon facility destroyed the “G-Drive” storage system, reportedly with no backups in place. (https://lnkd.in/dP9SaNJq) This is a painful reminder: physical infrastructure failures are inevitable. The question is—how well can our systems survive? What public cloud (or hybrid) resilience looks like: ✅Store data across independent availability zones/regions so that one failure doesn’t take everything down ✅Use write-once read many (WORM) or snapshot versioning to protect against accidental or malicious deletions ✅Automate DR failover drills, readiness, and verified rehearsals ✅Use declarative templates so infrastructure can be re-created in another region quickly ✅Mirror critical systems across multiple cloud providers ✅Regular hash validation, checksums, and audit pipelines to detect silent corruption 🛡️ Call to Action (for government / regulated sectors especially) ▪️Mandate minimum resilience SLAs for cloud providers used in public sector deployments. ▪️Evaluate your current architecture: Where are single points of failure? ▪️Run regular “disaster simulations” — test your recovery plans under real conditions. ▪️Adopt zero trust and data immutability paradigms — in addition to perimeter, protect the data itself. ▪️Skip complexity unless necessary — simple versioning + cross-region replication often provides most of the protection you need. We can’t prevent all disasters, but we can build systems that survive them. 👍 Like / Share if you believe resilience should be non-negotiable 🔁 Comment your DR strategies or lessons learned Disclaimer: AI tools were used to research and edit this post; however, all opinions are my own. For more on cloud or cybersecurity, follow here: https://lnkd.in/dwQAiYhY #CloudResilience #DisasterRecovery #CloudArchitecture #DataProtection

Your cloud provider just went dark. What's your next move? If you're scrambling for answers, you need to read this: Reflecting on the AWS outage in the winter of 2021, it’s clear that no cloud provider is immune to downtime. A single power loss took down a data center, leading to widespread disruption and delayed recovery due to network issues. If your business wasn’t impacted, consider yourself fortunate. But luck isn’t a strategy. The question is—do you have a robust contingency plan for when your cloud services fail? Here's my proven strategy to safeguard your business against cloud disruptions: ⬇️ 1. Architect for resilience  - Conduct a comprehensive infrastructure assessment - Identify cloud-ready applications - Design a multi-regional, high-availability architecture This approach minimizes single points of failure, ensuring business continuity even during regional outages. 2. Implement robust disaster recovery - Develop a detailed crisis response plan - Establish clear communication protocols - Conduct regular disaster recovery drills As the saying goes, "Hope for the best, prepare for the worst." Your disaster recovery plan is your business's lifeline during cloud crises. 3. Prioritize data redundancy - Implement systematic, frequent backups - Utilize multi-region data replication - Regularly test data restoration processes Remember: Your data is your most valuable asset. Protect it vigilantly. As Melissa Palmer, Independent Technology Analyst & Ransomware Resiliency Architect, emphasizes, “Proper setup, including having backups in the cloud and testing recovery processes, is crucial to ensure quick and successful recovery during a disaster.” 4. Leverage multi-cloud strategies - Distribute workloads across multiple cloud providers - Implement cloud-agnostic architectures - Utilize containerization for portability This approach not only mitigates provider-specific risks but also optimizes performance and cost-efficiency. 5. Continuous monitoring and optimization - Implement real-time performance monitoring - Utilize predictive analytics for proactive issue resolution - Regularly review and optimize your cloud infrastructure Remember, in the world of cloud computing, complacency is the enemy of resilience. Stay vigilant, stay prepared. P.S. How are you preparing your organization to handle cloud outages? I would love to read your responses. #cloud #cloudmigration #cloudstrategy #simform PS. Visit my profile, Hiren, & subscribe to my weekly newsletter: - Get product engineering insights. - Catch up on the latest software trends. - Discover successful development strategies.

RBI's Response to Impact of Major Vendor Outages on Regulated Entities : Reserve Bank of India (RBI) has raised important concerns regarding the impact of outages experienced by major technology providers, such as Microsoft, on regulated entities within the financial sector. Risks around cybersecurity and growing dependency of financial services companies on outsourcing arrangements, days after a global Microsoft Windows outage disrupted the operations of industries worldwide, including airlines, banks, and hospitals. Third-party dependencies and digital outsourcing have become integral to the operations of financial services entities to enhance efficiency, reduce costs, and improve customer experience, but warned that the arrangements pose several concerns such as selection of the outsourcing partner or lending service providers (LSPs) and their reliability, security, and regulatory compliance. The RBI's response highlights several critical aspects: --Ensuring Operational Resilience: The RBI emphasizes the necessity for operational resilience in the financial sector. Disruptions caused by major vendors can affect services for regulated entities, including financial transactions and customer access. Regulated entities are expected to implement robust contingency plans to mitigate such impacts. --Mitigating Single Vendor Dependence: The RBI is concerned about the risks associated with heavy reliance on a single technology vendor. Concentrating critical services with one provider can lead to significant vulnerabilities, including potential system outages and data breaches. The RBI advocates for a diversified vendor approach to minimize these risks. --Strengthening Vendor Risk Management: In response to these concerns, the RBI may issue guidelines to enhance vendor risk management practices. Recommendations may include establishing backup systems, ensuring data redundancy, and adopting multi-vendor strategies to maintain operational continuity during vendor failures. --Conducting Impact Assessments: The RBI stresses the importance of regular assessments of technology infrastructure and potential vendor disruptions. Entities should test recovery plans and ensure that essential functions remain operational in the event of an outage. --Enhancing Communication and Reporting: The RBI may require regulated entities to report major outage incidents and their effects. This ensures that the regulator remains informed of significant disruptions and can address any potential systemic risks. RBI's response underscores the importance of managing vendor risks effectively and avoiding over-reliance on single providers to ensure the stability and resilience of the financial system. Ram Rastogi 🇮🇳 Reserve Bank of India (RBI)

Understanding IT Contingency Planning Information Technology (IT) contingency planning is vital in ensuring organizational resilience. It is a key component of a broader continuity strategy that integrates business operations, risk management, communication protocols, financial planning, and security measures. While each aspect functions independently, they form a cohesive framework to safeguard organizational stability. Contingency planning for IT systems involves creating backup solutions and recovery procedures to address potential risks—whether natural, technological, or human-induced. The National Institute of Standards and Technology (NIST) outlines a comprehensive seven-step approach in Special Publication 800-34 to guide organizations in developing effective contingency plans. From initial policy development and impact analysis to preventive measures, recovery strategies, and plan testing, each phase ensures robust preparedness. A critical part of this process is embedding recovery capabilities into system designs during their development lifecycle, ensuring readiness throughout implementation, operation, and eventual disposal phases. Key Elements of Effective IT Contingency Planning 1. Policy Creation: Establishing objectives, roles, responsibilities, and maintenance schedules. 2. Business Impact Analysis (BIA): This process involves identifying critical resources and setting recovery time objectives (RTOs). 3. Preventive Controls: To minimize risks, implement measures like uninterruptible power supplies (UPS) and frequent data backups. 4. Recovery Strategies: Designing plans to restore operations efficiently while considering budgetary constraints and system dependencies. 5. Plan Development: Document detailed procedures for recovery, aligned with organizational roles and system priorities. 6. Training and Testing: Preparing teams through exercises to ensure readiness and system reliability during disruptions. 7. Plan Maintenance: Regularly updating and validating the plan to reflect changing personnel, systems, and priorities. A well-crafted IT contingency plan is not just a response mechanism but a proactive strategy to maintain organizational resilience. By aligning technical recovery strategies with business continuity objectives, organizations can navigate disruptions effectively, protecting both operations and data integrity. How does your organization approach IT contingency planning? Let’s share insights and best practices! Be the Solution 🔒 | Secure Once, Comply Many ✅ #ITContingencyPlanning #BusinessContinuity #CyberResilience #RiskManagement #ITSecurity #DataRecovery #NISTGuidelines

𝑇𝑜𝑑𝑎𝑦, 𝐶𝑙𝑜𝑢𝑑 𝑜𝑢𝑡𝑎𝑔𝑒𝑠 𝑎𝑛𝑑 𝑐𝑦𝑏𝑒𝑟𝑎𝑡𝑡𝑎𝑐𝑘𝑠 𝑎𝑟𝑒 𝑛𝑜𝑡 𝑎 𝑚𝑎𝑡𝑡𝑒𝑟 𝑜𝑓 "𝑖𝑓" 𝑏𝑢𝑡 "𝑤ℎ𝑒𝑛." The cost of downtime can be staggering, with businesses losing thousands per minute. To safeguard against these disruptions, a solid Disaster Recovery (DR) strategy is critical. 𝐕𝐞𝐞𝐚𝐦'𝐬 𝟐𝟎𝟐𝟑 𝐃𝐚𝐭𝐚 𝐏𝐫𝐨𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐓𝐫𝐞𝐧𝐝𝐬 𝐑𝐞𝐩𝐨𝐫𝐭 𝐬𝐡𝐨𝐰𝐞𝐝 𝐭𝐡𝐚𝐭 𝐬𝐨𝐦𝐞 𝟒𝟖% 𝐨𝐟 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐫𝐞𝐜𝐨𝐯𝐞𝐫 𝐭𝐨 𝐭𝐡𝐞 𝐜𝐥𝐨𝐮𝐝 𝐟𝐨𝐥𝐥𝐨𝐰𝐢𝐧𝐠 𝐚 𝐝𝐢𝐬𝐚𝐬𝐭𝐞𝐫, 𝐰𝐡𝐢𝐥𝐞 𝟕𝟒% 𝐮𝐬𝐞 𝐭𝐡𝐞 𝐜𝐥𝐨𝐮𝐝 𝐚𝐬 𝐩𝐚𝐫𝐭 𝐨𝐟 𝐭𝐡𝐞𝐢𝐫 𝐛𝐚𝐜𝐤𝐮𝐩 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬. Here's how to keep your cloud infrastructure resilient and your business running smoothly. 𝐂𝐥𝐨𝐮𝐝 𝐃𝐑 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬 𝐟𝐨𝐫 𝐌𝐢𝐧𝐢𝐦𝐢𝐳𝐢𝐧𝐠 𝐃𝐨𝐰𝐧𝐭𝐢𝐦𝐞 1. 𝐌𝐮𝐥𝐭𝐢-𝐂𝐥𝐨𝐮𝐝/𝐑𝐞𝐠𝐢𝐨𝐧 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 Distribute workloads across multiple cloud providers and regions for redundancy. This ensures your operations continue even if one cloud or datacenter goes down. 2. 𝐁𝐚𝐜𝐤𝐮𝐩 𝐚𝐧𝐝 𝐑𝐞𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 Perform regular data backups to geographically dispersed locations. Enable cross-region replication for databases and storage to safeguard your data. 𝟑. 𝐃𝐢𝐬𝐚𝐬𝐭𝐞𝐫 𝐑𝐞𝐜𝐨𝐯𝐞𝐫𝐲 𝐚𝐬 𝐚 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 (𝐃𝐑𝐚𝐚𝐒) Utilize a DRaaS provider to failover workloads to a secondary site during a disaster, easing the burden on your internal IT team. 𝟒. 𝐃𝐞𝐬𝐢𝐠𝐧 𝐟𝐨𝐫 𝐑𝐞𝐬𝐢𝐥𝐢𝐞𝐧𝐜𝐲 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 applications for high availability and fault tolerance using load balancing, auto-scaling, and serverless computing. 𝟓. 𝐓𝐞𝐬𝐭 𝐃𝐑 𝐏𝐥𝐚𝐧𝐬 𝐑𝐞𝐠𝐮𝐥𝐚𝐫𝐥𝐲 Conduct frequent DR drills to ensure failover processes work and teams know their roles. Perform post-mortems to identify areas for improvement. 𝟔. 𝐃𝐞𝐟𝐢𝐧𝐞 𝐑𝐓𝐎 𝐚𝐧𝐝 𝐑𝐏𝐎 Determine your Recovery Time Objective (maximum tolerable downtime) and Recovery Point Objective (acceptable data loss) to guide your DR strategy. 𝟕. 𝐒𝐞𝐜𝐮𝐫𝐞 𝐃𝐑 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐬 Ensure DR sites have the same security controls as production, including encryption, access control, logging, and monitoring. By implementing these strategies, you can enhance your resilience against cloud outages, cyber attacks, and other disruptions. Regular testing, automation, and partnerships with cloud providers and security experts are key. 🌟 ENH iSecure is here to help you fortify your cloud infrastructure and ensure business continuity. Ready to boost your cloud resilience? Let's connect! #CloudSecurity #DisasterRecovery #CyberSecurity #CloudResilience #DataSecurity

Checked the Amazon Web Services (AWS) Health Dashboard after the recent Availability Zone disruption in the United Arab Emirates, where a data center was reportedly hit by external objects, leading to service impact. Incidents like this aren’t dramatic. They’re educational. Some clear software design lessons: 1. Single AZ is a risk If your app runs in just one Availability Zone and that AZ has issues, your app goes down with it. Multi-AZ means spreading compute, load balancers, and databases across isolated data centers so traffic can shift if one fails. 2. Define RTO and RPO early RTO (Recovery Time Objective) is how long you can afford downtime. RPO (Recovery Point Objective) is how much data you can afford to lose. If you don’t define these upfront, you can’t design backups, replication, or failover properly. 3. Retries need control When a dependency is failing, blind retries can overload it further. Use exponential backoff and circuit breakers so your system reduces pressure instead of amplifying it. 4. Observability is critical Metrics, logs, tracing, and alerts decide how fast you detect and understand impact. If users are the first to report issues, you’re already behind. 5. Disaster recovery must be tested A DR document isn’t enough. Simulate AZ failure. Test failover. Practice restoring backups. You don’t want your first real test to be during production impact. Cloud infrastructure is highly reliable. Application resilience still depends on your architecture choices. Design systems assuming components can fail and make sure that failure does not bring everything down.

Interview question: How can you have your database safe from unexpected disasters? ⬇️ Database backup and recovery are essential practices for safeguarding your data against loss. Whether it’s due to hardware failure, human error, or cyberattacks, having a solid backup and recovery strategy ensures that your data remains secure and recoverable. 1️⃣ Full Backups This method involves creating a complete copy of your database at a specific point in time. It’s the most comprehensive but can be time-consuming and requires significant storage space. 2️⃣ Incremental Backups Only the changes made since the last backup are saved. This method is more efficient in terms of time and storage but requires multiple backups to restore a full database. 3️⃣ Differential Backups Similar to incremental, but it backs up all the changes made since the last full backup, making restoration faster compared to incremental backups. 4️⃣ Point-in-Time Recovery Allows you to restore your database to a specific moment, crucial for recovering from errors or data corruption. 5️⃣Automated Backup Systems These tools schedule and perform backups without manual intervention, ensuring regular and consistent backups. 6️⃣Offsite and Cloud Backups Storing backups offsite or in the cloud protects against physical damage or localized disasters. 💡 A robust backup and recovery strategy isn’t just a safety net—it’s a vital component of your database management, ensuring that your data remains resilient and your business operations continue smoothly, no matter what challenges you face. #DatabaseManagement #SQL #DataBackup #DataRecovery #TechStrategies #DataProtection