Developing a Project Data Security Framework

Enhancing Cybersecurity: A Comprehensive Security Matrix A layered approach to security is essential. The following framework breaks down cybersecurity into six interconnected domains, each with practical components to strengthen defenses and response capabilities: Information Security: Access Rights & Permissions Matrix Data Breach Notification Log Data Classification Register Data Loss Prevention (DLP) Incident Log Document Retention & Disposal Tracker Encryption Key Management Sheet Network Security: DDoS Attack Mitigation Plan Tracker IP Whitelist-Blacklist Tracker Network Access Control Log Network Device Inventory Network Security Risk Mitigation Report Security Event Correlation Tracker Cloud Security: Cloud Access Control Matrix Cloud Asset Inventory Tracker Cloud Backup & Recovery Testing Tracker Cloud Incident Response Log Cloud Security Configuration Baseline Application Security: Application Data Encryption Checklist Application Risk Assessment Matrix Application Threat Modeling Authentication & Authorization Control Sheet Modeling Patch & Update Tracker Security Management: Acceptable Use of Assets Password Policy Backup and Recovery Compliance Management Disposal and Destruction Policy Information Classification Policy Incident Management: Incident Management Guide Incident Management Policy Incident Management Process Internal Incident Report Major Incident Report Template Structure Damage Incident Report Problem Management: KE Record Template Major Problem Report Template Problem Management Process Problem Record Template This structured approach creates clear accountability, improves visibility, and accelerates incident response across technology ecosystems. It’s about turning security into an organized, repeatable, and measurable practice that protects assets while enabling innovation.

Data integrity isn't a compliance checkbox. It is a competitive edge. Organizations whose leaders treat data as a managed, measurable asset make smarter decisions faster and avoid costly mistakes. Here is a practical framework to build that edge: 1. Governance and accountability - Assign data owners and stewards. - Set clear SLAs for every critical dataset. 2. Engineering controls - Standardize schemas. - Build validation rules into your pipelines. - Test data quality the same way you test code. 3. Observability - Monitor freshness, schema changes, and quality thresholds. - Catch problems before they reach your dashboards. 4. Risk management - Classify your critical assets. - Apply access controls. - Back up your data. - Protect it from ransomware and destructive events. 5. Operating rhythm - Run postmortems on data incidents. - Audit your systems regularly. - Close gaps on a fixed schedule. Your first 90 days matter most. Map your riskiest datasets in month one. Add basic controls in month two. Codify policies and automated tests by month three. Track these signals: data freshness, percentage of checks passing, time to fix pipeline failures, and incidents per quarter. One broken dashboard costs you a bad decision. One strong framework protects every decision after it. Your data integrity program is your risk program. Build it that way!

🚨Incoming: The Federal Zero Trust Data Security Guide Fresh off the presses - In alignment with M-22-09, the Federal CDO Council and Federal CISO Council gathered a cross-agency team of data and security specialists to develop a comprehensive data security guide for Federal agencies. Representatives from over 30 Federal agencies and departments worked together to produce the Federal Zero Trust Data Security Guide, which: 🔹Establishes the vision and core principles for ZT data security 🔹Details methods to locate, identify, and categorize data with clear, actionable criteria 🔹Enhances data protection through targeted security monitoring and control strategies 🔹Equips practitioners with adaptable best practices to align with their agency’s unique mission requirements Securing the data pillar in Zero Trust has been a challenging endeavor, but it’s foundational to a resilient cybersecurity posture. This guide lays out essential principles and a roadmap to embed security at the core of data management beyond traditional perimeters. Here are a few key takeaways: 🔐 Core ZT Principles: Adopting a data-centric approach with strict access controls, data resiliency, and integration of privacy and compliance from day one. 📊 Data Inventory and Classification: It is crucial to understand the data landscape, and the guide provides insights into cataloging and labeling sensitive data for targeted protection. 🤝 Managing Third-Party Risks: From privacy-preserving technologies to detailed vendor assessments, agencies can better secure shared data and protect it from supply chain threats. I had the privilege of attending a couple of these Working Group meetings before leaving CISA earlier this year, and I congratulate the group on this necessary release. This guide aligns closely with CISA's Zero Trust Maturity Model, providing agencies with a robust framework to secure federal data assets and advance a strong, data-centric ZT security model. #data #zerotust #cybersecurity #technology #informationsecurity #computersecurity #datascience #artificialintelligence #digitaltransformation #bigdata 

🚀 My latest research "Cognitive Integration Process for Harmonising Emerging Risks" is now published in the Journal of AI, Robotics and Workplace Automation. 95% of Australian businesses are SMEs operating on ~$500 cybersecurity budgets. Yet they're being asked to securely integrate AI, quantum computing, and blockchain into their operations. How do you make sound security decisions about emerging technologies when you lack both technical expertise and enterprise-level resources? This is fundamentally a systems engineering challenge that requires first principles thinking. When I presented this research at the Programmable Software Developers Conference in Melbourne in March, I asked the room: "Heard of an AI security incident?" No hands up. "Would you know what an AI security incident looked like?" No hands. This illustrates the gap between AI hype and foundational security understanding - the first principles are missing. That's why I developed CIPHER (Cognitive Integration Process for Harmonising Emerging Risks) - a cognitive mental model that applies systems thinking to technology integration in resource-constrained environments. 🧠 Six cognitive stages: Contextualise, Identify, Prioritise, Harmonise, Evaluate, Refine 🔧 Systems engineering foundation: Built on cognitive science, game theory, and dynamical systems theory 🎯 Technology agnostic: Works across any emerging technology, any environment, any resource constraint CIPHER is a cybersecurity framework that gives smaller organisations the same strategic decision-making capabilities that large enterprises use, designed for their operational realities. It bridges the gap between cutting-edge security research and the practical constraints that define how most Australian businesses operate. The framework recognises that in resource-constrained environments, enterprise security models cannot be applied at scale. You need cognitive tools that help teams think systematically in complex integration challenges without requiring extensive technical depth or large security budgets. My research journey continues: I'm now deep into my UNSW Canberra Masters Research capstone, building on my 2023 work on LLMs in SME cybersecurity. The goal? Developing specialised security models and creating an agnostic, holistic measurement framework for LLMs in Australian SMEs - essentially taking the $500 problem from 2023 into the AI-driven reality of 2025. #CyberSecurity #SystemsEngineering #SME #Australia #AI #EmergingTech #ResourceConstrainedSecurity #CIPHER #FirstPrinciples

Building a Strong Foundation: How to Create an Effective Organizational Profile with NIST CSF 2.0 🔐💼 Creating a solid cybersecurity strategy starts with understanding where your organization currently stands. The NIST Cybersecurity Framework (CSF) 2.0 offers a structured way to evaluate and strengthen your security practices. One of the most important steps is developing an Organizational Profile—a tool that helps you map out your existing controls, identify gaps, and plan improvements. This guide will walk you through the process of building an Organizational Profile, so you can take meaningful steps toward enhancing your organization’s security. 1. Define the Scope: Determine the specific systems, processes, or threats the profile will address. For instance, it could encompass the entire organization, financial systems, or ransomware-specific responses. Multiple profiles can be created to target different areas or objectives. 2. Collect Relevant Data: Gather information such as organizational policies, cybersecurity standards, risk management goals, BIAs (Business Impact Analyses), enterprise risk assessments, and existing tools or practices. These details form the foundation of the profile. 3. Build the Profile: Using the collected data, document your organization’s alignment with CSF outcomes. Highlight current strengths and risks. This step establishes your Current Profile, which serves as the baseline for future improvements. Community Profiles can be a helpful reference when planning your Target Profile. 4. Conduct a Gap Analysis: Compare the Current Profile to the desired Target Profile. Identify gaps and prioritize improvements. Use tools like a risk register or POA&M (Plan of Action and Milestones) to effectively develop an actionable plan to address these gaps. 5. Execute and Update: Implement the action plan to close identified gaps and improve alignment with the Target Profile. Continuously monitor and update the profile to reflect organizational changes and evolving threats. By creating an Organizational Profile using the NIST CSF 2.0 framework, organizations can assess their current security posture and take deliberate steps to enhance their resilience. This ongoing process ensures that as threats evolve, so does your organization’s ability to address them. How is your organization aligning with the NIST CSF 2.0? #Cybersecurity #NISTCSF #RiskManagement #CyberResilience #OrganizationalProfile #NISTCSF2.0 #SecurityStrategy #CyberAwareness #InformationSecurity #RiskAssessment

One major hurdle we faced was our initial focus on an on-premises architecture. While this provided granular control, it complicated deployment, management, and maintenance. Ensuring 100% uptime and data security in a self-hosted environment required meticulous attention to detail. 1. Technical Hurdles: Implementing robust security protocols was essential. We utilized advanced encryption algorithms like AES-256 and TLS 1.3, along with a comprehensive key management system to protect sensitive data. Additionally, we designed a scalable, fault-tolerant architecture to handle increasing data volumes without sacrificing performance. 2. Compliance: Adhering to regulations such as GDPR and HIPAA posed another challenge. We established strict data retention policies, access controls, and audit trails, necessitating extensive research and regular audits to maintain compliance. 3. User Experience: Balancing security with user experience was crucial for adoption. We focused on creating intuitive interfaces and streamlined workflows, incorporating user feedback through extensive testing. These challenges taught us the importance of fostering a security-first culture within our organization. Regular training and a commitment to data protection became integral to our development process. Collaboration with industry experts and participation in security communities also helped us stay informed about emerging threats and best practices. Looking ahead, We are exploring technologies like homomorphic encryption and secure multi-party computation to enhance data protection. Additionally, we aim to expand our platform's capabilities to support specialized features for sectors such as healthcare and finance.

What if your entire organization crumbled... because one unchecked access point went unnoticed? Tech frameworks exist for a reason. Cyber threats evolve daily. Here's the  comprehensive cybersecurity framework every leader needs - summarized for action. → 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 • Review user access permissions regularly. • Implement data masking for sensitive records. • Enforce secure protocols for information transfer. • Conduct periodic data integrity audits. → 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 • Monitor network traffic for unusual activity. • Update firewall and IDS software regularly. • Segment network to isolate critical assets. • Use VPN for remote network access. → 𝐂𝐥𝐨𝐮𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 • Enable multi-factor authentication for cloud accounts. • Encrypt stored cloud data automatically. • Monitor unauthorized access in cloud resources. • Audit third-party integrations with cloud services. → 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 • Perform regular scans for application vulnerabilities. • Follow secure coding standards and practices. • Deploy web application firewalls for traffic. • Run periodic penetration testing on applications. → 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 • Test and update business continuity plans. • Train staff on security best practices. • Assign security responsibilities to specific roles. • Conduct regular policy compliance assessments. → 𝐈𝐧𝐜𝐢𝐝𝐞𝐧𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 • Maintain updated incident response playbook. • Run incident response tabletop exercises annually. • Define and communicate incident escalation steps. • Log and store incident evidence securely. → 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 • Track root causes of recurring issues. • Review historical trends for problem patterns. • Formalize workflows for issue resolution consistently. • Coordinate fixes with vendors as needed. Implement this framework systematically. Security transforms from burden to competitive advantage. Cyber Leadership Academy Follow Vijay Banda for more insights

Integrating ISA/IEC 62443 Cybersecurity throughout Project Lifecycle How to integrate cybersecurity in project phases is a million dollar question, let's explore together! >> integrating Cybersecurity in the project life cycle provides many benefits: > Proactive risk mitigation to prevent vulnerabilities. > Compliance with industry standards and regulations. > Cost savings by addressing security early. > Ensures operational reliability and safety. >> The IEC 62443 framework provides a structured approach to secure systems throughout their lifecycle—from conceptualization to ongoing operation. >> Relevant Standards: > ISA/IEC 62443-2-1, > ISA/IEC 62443-2-4, > ISA/IEC62443-3-2, and > ISA/IEC62443-3-3, >>These standards cover > cyber security management, > risk assessment, and > technical requirements. 1. Concept Phase: Define project goals, scope, and requirements. >> Key Activities: > Define scope of work and requirements. > Develop strategy and methodology. > Assign roles and responsibilities. >> Relevant Standards: IEC 62443-2-1 and IEC 62443-2-2. 2. FEED Phase: Front-End Engineering Design >> Key Activities: > Identify Systems under Consideration (SuC). > Conduct a high-level risk assessment. > Partition zones and conduits. > Perform detailed risk assessments. > Specify cybersecurity requirements. >> Relevant Standards: IEC 62443-3-2. 3. Project Phase: Execute the design, build, and testing activities. >> Key Activities: > Conduct detailed engineering. > Perform Factory Acceptance Testing (FAT). > Commission systems. > Hand over systems to operations. >> Relevant Standards: IEC 62443-3-3 and IEC 62443-2-4. 4. Operation Phase: operations and Maintenance >> Key Activities: > Maintain systems. > Monitor cybersecurity performance. > Manage change. > Respond to and recover from incidents. >>Relevant Standards: IEC 62443-3-3 and IEC 62443-2-4. #icssecurity #otsecurity

A data pipeline is only as trustworthy as the security built into every stage. Modern pipelines move sensitive information across sources, APIs, storage, transformation engines, and analytics platforms. One weak control can expose the entire flow. That is why data security must be designed as a system: ↳ Identity and access management verifies users, applies roles, and enforces least-privilege access. ↳ Encryption protects data at rest, in transit, and during processing through secure key management. ↳ Secrets management keeps passwords, tokens, certificates, and credentials out of code. ↳ Data masking hides sensitive fields while preserving useful data for testing and analytics. ↳ Network security restricts communication to trusted endpoints and authenticated services. ↳ Data validation blocks malformed, unauthorized, or suspicious records before production. ↳ Logging and monitoring centralize events, detect unusual activity, and trigger alerts. ↳ Governance defines ownership, retention, lineage, compliance, and acceptable usage. ↳ Vulnerability management scans code and infrastructure, prioritizes risks, and verifies fixes. ↳ Incident response contains threats, restores services, removes root causes, and captures lessons. Security is not a final checkpoint added after the pipeline is built. It is the control layer protecting every movement, transformation, and decision made with data. Which security control is hardest to implement consistently in your pipelines? ♻️ I share cloud , data analysis/data engineering tips, real world project breakdowns, and interview insights through my free newsletter. 🤝 Subscribe for free here → https://lnkd.in/ebGPbru9 Follow Abhisek Sahu for more such insights!!

THE NIST FRAMEWORK As a beginner in GRC, the NIST framework is one of the key frameworks you need to understand. I have simplified its concepts to make them more accessible for beginners. This way, if you ever need to explain these concepts, you'll have a solid foundation and the confidence to articulate them effectively. IDENTIFY: Understanding what to protect and knowing the potential risks that could arise. Before protecting, you need to understand the assets and data in the organization, storage, and how they are processed. Do your asset inventory, determining the critical/non-critical assets, sensitive data, devices, software, etc. TOOLS ServiceNow CMDB NIST 800-30 PROTECT: Setting up defense mechanisms and barriers to keep out threats, ensuring employee training and data accessibility. STEPS Access Management: Tools such as Okta and Azure AD ensure that only authorized individuals have access to data Encryption: TLS (Transport Layer Security) and SSL (Secured Socket Layer) Don't forget employee training is important, humans are always the weakest link in security. DETECT: Identifying what went wrong is the first thing to do, potential threats and vulnerabilities need to be detected early enough SIEM tools such as IBM QRADAR, and Splunk analyze suspicious activities and monitor and raise suspicious alert Intrusion Detection System such as Snort helps greatly. Endpoint Monitoring: CrowdStrike helps monitor devices like laptops and phones in the organization. RESPOND: Actions taken when a breach/security incident occurs. Tools like Incidence Response Playbook Forensic Analysis Toolkits and continuous communication with your team. A quick response plan ensures a Business Continuity plan. RECOVER: Business Continuity after a breach involves lessons learned from the security breach and other improvements made afterward to avoid future occurrences. TOOLS: Veeam Backup and Recovery is a software that can help you recover lost data. Acronis Data Protection Software helps protect your data from breaches. Conduct a post-incident review with your team to determine areas of improvement and how the data breach occurred. Business can continue when all these have been put in check. The NIST helps in building resilience and identifying areas of risk.