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Data Protection and Privacy

Business Is the foundation for Data Security

Data is the cornerstone of digital business and includes a wide spectrum of sourced and derived data. It can include information needed by service employees, partners and customers. This data may be sensitive, such as Intellectual property (IP), Trademarks, personally identifiable information (PII), personal health information (PHI), payment card information (PCI) or other regulated data, internal and external communications. It may also include other sensitive or confidential information, and the continually growing use cases for data and analytics, including widespread adoption of AI.

"Enhance data classification initiatives through the implementation of policies, processes, and tools that extend beyond mere classification, recognizing data security as a distinct domain, and leveraging automation for efficiency."

O2 Cyber approach

The modern approach to providing data security involves a multi-faceted strategy that addresses the complex challenges of protecting sensitive information in today's dynamic threat landscape. Here are key elements of a modern data security approach:

Data Classification and Inventory:

  • Data Identification: Identify and classify sensitive data based on its type, sensitivity, and regulatory requirements.
  • Data Inventory: Maintain an inventory of all data assets, including their location, ownership, and access controls.

Risk Assessment and Compliance:

  • Risk Analysis: Conduct regular risk assessments to identify potential threats, vulnerabilities, and risks to data security.
  • Compliance Frameworks: Align data security practices with relevant regulatory requirements and industry standards (e.g., GDPR, HIPAA, PCI DSS).

Data Encryption and Tokenization:

  • Data Encryption: Encrypt sensitive data at rest, in transit, and during processing using strong encryption algorithms and key management practices.
  • Tokenization: Replace sensitive data with randomly generated tokens to reduce the risk of exposure in storage and transmission.

Data Loss Prevention (DLP):

  • Endpoint Protection Platforms (EPP): Deploy EPP solutions to protect endpoints from malware, ransomware, and other advanced threats.
  • Data Encryption: Encrypt data stored on endpoints, laptops, and mobile devices to prevent unauthorized access in case of loss or theft.

Employee Training and Awareness:

  • Security Awareness Training: Provide regular training and awareness programs to educate employees about data security best practices, social engineering attacks, and phishing threats.

" Successful data classification projects are well-supported by a blend of policies, processes and technical tools "

Why Choose O2Cyber:

We guide and implement data security program for many organization's security and risk management (SRM) leaders with a focus on data security with key activities:

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Create an organization wide data classification schema that is simple to understand, yields consistent classification, and is applicable to both structured and unstructured data having business objectives as priority

Ensure that data classification processes and tools take account of the full life cycle of data, and that controls remain effective and appropriate when classification changes.

Support data classification projects with the policies, processes and advanced automated technical tools necessary to achieve the stated objectives.

Start with focused initiatives that address funded business needs, such as regulatory compliance, and that have well-defined project scopes.

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      Level 4: Cyber Security Incident Response Process (CSIRP)

      At the SOC’s most advanced level are managers and chief officers and they will be more engaged and execute this process. This group oversees all SOC team activities and is responsible for hiring and training, plus evaluating individual and overall performance. Level 4's step in during crises, and, specifically, serve as the liaison between the Security team and the rest of the organization. They are also responsible for ensuring compliance with organization, industry and government regulations.

      Level 3: Proactive security operations

      The security managers are informed and specialist crew are involved and begin moving from reactive to proactive security actions. Personnel are likely expert security analysts who are actively searching for vulnerabilities within the network and hunting for threats. They will use advanced threat detection tools to diagnose weaknesses and make recommendations for overall security improvement. Within this group, you might also find specialists, such as forensic investigators, compliance auditors or cybersecurity analysts. They will decide to escalate Level 4.

      Level 2: Cyber Incident Remediation

      These personnel can quickly get to the root of the problem and assess which part of your infrastructure is an issue or at risk. They will follow a well defined playbook process and makes decision to remediate the problem based on knowledge of the issue and environments. They will flag certain issues for additional investigation outside of the incident response protocol and when to escalate to Level 3.

      Level 1: First responders

      The first line of incident responders are group of security analysts who will be eyes on glass 24x7 and watch for alerts. They are primarily tasked to look at the urgency of an alert, can it be solved within their confines which is automated playbook / orchestration or follow up on established playbooks. Based on the above they play a role to escalate to Level 2. They are also responsible to run statistics and SOC reports for review. Behavioral analytics and AI based beta models are adopted for advanced needs to act as L1.