Hybrid Pathways’ Post

Data Defense & Access Assurance has been a large part the focus of my work for the past several years. Understanding what data our business has, who access to it, what our commitments to appropriate use are, and data linage are real concerns facing businesses today.  But a point that can’t be missed is that beyond regulatory compliance, the real success of a DDAA program is the accelerated opportunities for your business in how they use the data while advancing their abilities to remain compliant cross jurisdiction thus  enabling new products, services, and offerings for their customers, their market, and the industry.  Catch my new #SecuritySparks Video provided by Hybrid Pathways on things you can do to advance your Data Defense & Access Assurance program! #cyber #cybersecurity #datadefense #accessassurance #ciso #riskmanagement #dataprivacy #cyberleadership https://lnkd.in/gWqxU6ce

Enterprises often view data security too narrowly by just identifying vulnerabilities. Data classification plays a major part in improving security posture. It's required for compliance and helps with policies, incident response, regulations, monitoring, reducing attack surface and more. But today's complex data infrastructure means organizations are running into challenges around classification, such as: ❌ Data fragmentation ❌ Unstructured data ❌ Shadow IT ❌ Mergers and acquisitions Typical labels like "confidential" fail to capture nuances between data types. To truly improve, you need to protect sensitive data itself with context-aware classification and data must be classified based on its type, context, subject, and sensitivity. To learn more on overcoming these classification challenges with intelligent data security posture management (#DSPM) solutions (like Dig's!) that automate sensitive data discovery and protection wherever it lives, check out the link in the comments ⬇️ #DDR #DataSecurity

Data security is a crucial aspect of businesses in the digital age. Businesses must prioritize data security to protect their digital assets and maintain the trust of their customers. Implementing the four pillars of data protection helps businesses to establish a comprehensive data security program that safeguards their data. Adept Engineering Solutions can help you implement these four pillars efficiently at your organization. To begin, send us an email at info@adeptengr.com or visit www.adeptengr.com. #AdeptEngineering #AdeptEngineeringSolution #DataSecurity #DataSecurityConsulting #SecureYourData #DataProtection

Enterprises often view data security too narrowly by just identifying vulnerabilities. Data classification plays a major part in improving security posture. It's required for compliance and helps with policies, incident response, regulations, monitoring, reducing attack surface and more. But today's complex data infrastructure means organizations are running into challenges around classification, such as: ❌ Data fragmentation ❌ Unstructured data ❌ Shadow IT ❌ Mergers and acquisitions Typical labels like "confidential" fail to capture nuances between data types. To truly improve, you need to protect sensitive data itself with context-aware classification and data must be classified based on its type, context, subject, and sensitivity. To learn more on overcoming these classification challenges with intelligent data security posture management (#DSPM) solutions (like Dig's!) that automate sensitive data discovery and protection wherever it lives, check it out on Dig Security (acquired by Palo Alto Networks)'s blog - link in the comments ⬇️ #DDR #DataSecurity

📂 Data classification and handling are crucial aspects of information management that involve organizing and safeguarding data based on its sensitivity, importance, and usage. These processes play a pivotal role in maintaining data integrity, confidentiality, and compliance with regulatory requirements. 💼 Data Classification: 🛡️Data classification is the systematic categorization of information based on predefined criteria. The primary objective is to identify and label data according to its level of sensitivity, ensuring that appropriate security measures are applied. This helps organizations manage their data efficiently, allocate resources effectively, and mitigate potential risks. 🔒 Confidentiality-based: Public : Shareable without risk. Internal : Limited to the organization. Confidential/Restricted: Highly sensitive, strict access controls. 👥 Ownership-based: Personal: Individual data, subject to protection laws. Corporate: Relates to internal operations, plans, or proprietary info. 📑 Regulatory-based: Compliance-related: Must follow specific regulations (e.g., GDPR, HIPAA). Non-regulated: Not subject to specific regulations. ⚠️ Criticality-based: Critical: Essential for operations and decision-making. Non-critical: Useful but not crucial for daily operations. 🔄 Lifecycle-based: Active: In use or regularly accessed. Inactive: No longer actively used but retained for historical or compliance reasons. Archived: Moved to long-term storage for preservation. 🌐 Want to learn more about data classification and handling and it's importance to physical and cyber security? Join us for an informative livestream, 1/16/2024 at 2-3PM MST, where we will talk more about what it is and why it's important. #DataClassification #InformationManagement #Security 🛡️

Most Important Tool for SOC Analyst

𝐖𝐡𝐲 𝐒𝐈𝐄𝐌 𝐢𝐬 𝐚 𝐆𝐚𝐦𝐞-𝐂𝐡𝐚𝐧𝐠𝐞𝐫 𝐟𝐨𝐫 𝐌𝐨𝐝𝐞𝐫𝐧 𝐂𝐲𝐛𝐞𝐫 𝐓𝐡𝐫𝐞𝐚𝐭𝐬? Security Information and Event Management (SIEM) is a crucial aspect of modern cybersecurity frameworks. It involves the real-time collection, analysis, and monitoring of security-related data from various sources within an organization to identify potential threats, anomalies, and security breaches.   ⏩ 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐒𝐚𝐦𝐩𝐥𝐞 𝐑𝐞𝐩𝐨𝐫𝐭: https://lnkd.in/dTw_y9k4 𝐃𝐚𝐭𝐚 𝐂𝐨𝐥𝐥𝐞𝐜𝐭𝐢𝐨𝐧 • Log Management: Aggregates logs from various sources such as network devices, servers, applications, and endpoints. • Event Collection: Collects and normalizes security events from diverse sources to create a unified dataset for analysis. 𝐃𝐚𝐭𝐚 𝐒𝐭𝐨𝐫𝐚𝐠𝐞 • Scalability: Must handle large volumes of data due to the extensive logging from multiple sources. • Retention: Ensures long-term storage for compliance and forensic analysis. 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 • Correlation: Identifies relationships between events to detect patterns indicating security threats. • Behavioral Analysis: Establishes baselines of normal activity and detects deviations. • Anomaly Detection: Uses statistical models, machine learning, or heuristics to identify unusual activity. 𝐈𝐧𝐜𝐢𝐝𝐞𝐧𝐭 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 • Real-time Monitoring: Continuously monitors for security events and alerts administrators of potential incidents. • Alerting and Notification: Sends notifications through various channels (e.g., email, SMS) based on predefined rules. 𝐈𝐧𝐜𝐢𝐝𝐞𝐧𝐭 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐞 • Workflow Automation: Automates response actions such as isolating a compromised system or blocking an IP address. • Investigation and Forensics: Provides tools for in-depth analysis of incidents, including timeline reconstruction and root cause analysis. 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 • Dashboards and Visualization: Offers visual representations of security metrics and incidents. • Compliance Reporting: Generates reports to meet regulatory requirements (e.g., GDPR, HIPAA). #SIEM #securityinformationeventmanagement #security #cyberthreat #cybersecurity

📂 Data classification and handling are crucial aspects of information management that involve organizing and safeguarding data based on its sensitivity, importance, and usage. These processes play a pivotal role in maintaining data integrity, confidentiality, and compliance with regulatory requirements. 💼 Data Classification: 🛡️Data classification is the systematic categorization of information based on predefined criteria. The primary objective is to identify and label data according to its level of sensitivity, ensuring that appropriate security measures are applied. This helps organizations manage their data efficiently, allocate resources effectively, and mitigate potential risks. 🔒 Confidentiality-based: Public : Shareable without risk. Internal : Limited to the organization. Confidential/Restricted: Highly sensitive, strict access controls. 👥 Ownership-based: Personal: Individual data, subject to protection laws. Corporate: Relates to internal operations, plans, or proprietary info. 📑 Regulatory-based: Compliance-related: Must follow specific regulations (e.g., GDPR, HIPAA). Non-regulated: Not subject to specific regulations. ⚠️ Criticality-based: Critical: Essential for operations and decision-making. Non-critical: Useful but not crucial for daily operations. 🔄 Lifecycle-based: Active: In use or regularly accessed. Inactive: No longer actively used but retained for historical or compliance reasons. Archived: Moved to long-term storage for preservation. 🌐 Want to learn more about data classification and handling and it's importance to physical and cyber security? Join us for an informative livestream, 1/16/2024 at 2-3PM MST, where we will talk more about what it is and why it's important. #DataClassification #InformationManagement #Security 🛡️

Data privacy and security are paramount, particularly when handling sensitive information in reports. Understanding data privacy's significance is crucial, as the implications of mishandling sensitive data can be severe. It is essential to emphasize secure data handling practices that maintain the integrity of reports and protect stakeholders' interests. Various types of sensitive data, such as personal, financial, medical, and proprietary information, can significantly impact reporting contexts, highlighting the need for robust protection mechanisms. Compliance with data privacy regulations, like GDPR and HIPAA, is vital for organizations. These regulations not only outline the purpose of data protection but also establish compliance requirements for data collection, storage, and sharing practices. Implementing best practices for data protection, including encryption techniques, access control measures, and data minimization strategies, is essential for safeguarding sensitive information. Regular security audits and assessments further ensure that security protocols remain effective and adaptive to evolving threats. Educating staff about data privacy principles and fostering a security culture is critical for organizational success. By creating awareness and encouraging open communication about security issues, organizations can enhance their defenses against potential breaches. In conclusion, the document summarizes key points and explores future trends in data privacy and security, including advancements in artificial intelligence and data anonymization techniques. For further exploration, a list of recommended readings and useful resources will be provided, assisting organizations in staying informed and compliant. #dataprivacy #datasecurity #sensitiveinformation #dataawareness #securityculture #deeplance

By combining careful planning, increased awareness, and advanced technology, organizations can significantly reduce the risk of #databreaches and protect their sensitive information from unauthorized access. ➡ Read our latest blog to learn more. https://lnkd.in/dYQ99qP5 #cybersecurityawareness #dataprotection #Blogpost