We protect your company information technology systems, including hardware, software, and data, from a wide range of cyber threats and malicious activities. This ensures the protection of individual devices (endpoints) such as computers, laptops, and mobile devices from malware, ransomware, and other malicious software. Cybersecurity is a dynamic and evolving field that plays a critical role in safeguarding digital assets and ensuring the resilience of information systems against the constantly changing landscape of cyber threats.

• Protection Against Threats
• Confidentiality, Integrity, and Availability (CIA)
• Authentication and Authorization
• Network Security
• Endpoint Security
• Encryption
• Incident Response
• Monitoring and Management
• Vulnerability Management
• Security Policies and Compliance
• Security Audits and Assessments
• Threat Intelligence
• Continuous Monitoring

"Data & AI" provides a much-needed intersection of Data and Artificial Intelligence (AI) technologies. Encompassing the use of AI techniques and tools to analyze, interpret, and derive insights from vast amounts of data. Helping your organisation enhance decision-making processes, automate tasks, and uncover patterns or trends that may not be immediately apparent through traditional data analysis methods.

• Data Analytics: Utilizing various statistical and mathematical techniques to analyze and interpret data, extracting valuable insights
• Machine Learning (ML): The application of algorithms and statistical models that enable systems to improve their performance on a specific task as they are exposed to more data.
• Predictive Analytics: Using statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data.
• Natural Language Processing (NLP): AI techniques that enable computers to understand, interpret, and generate human-like text, facilitating communication between machines and humans.
• Computer Vision: The field of AI that enables machines to interpret and make decisions based on visual data, such as images or videos.
• Big Data: Handling and analyzing large sets of data that traditional data processing applications may struggle with.
• Data Warehousing: Storing and managing data from different sources in a centralized repository for efficient retrieval and analysis.
• Data Integration: Combining data from different sources to provide a unified view.
• Data Governance: Implementing policies and procedures to ensure high data quality, integrity, and security.
• Business Intelligence (BI): Tools and processes for collecting, analyzing, and presenting business data to support decision-making.
• Security Audits and Assessments

Data protection is critical for maintaining trust with customers, partners, and stakeholders, as well as for meeting legal and regulatory obligations. In an era of increasing digitalization, securing data has become a fundamental aspect of organizational risk management.

Nongotel ensures that data protection policies, and measures are put in place to safeguard data from unauthorized access, use, disclosure, alteration, or destruction. By implementing a range of strategies and technologies designed to ensure the confidentiality, integrity, and availability of data, particularly sensitive or personal information.

These in many instances includes:

• Data Security: Implementing measures to protect data from unauthorized access, both in transit and at rest. This involves encryption, access controls, and secure storage practices.
• Access Controls: Managing and restricting access to data based on user roles and permissions. Only authorized individuals or systems should have access to specific types of data.
• Data Encryption: Using encryption algorithms to encode data in a way that can only be decrypted by authorized parties with the appropriate keys. This is crucial for protecting sensitive information.
• Data Backup and Recovery: Regularly backing up data to ensure that it can be recovered in the event of accidental deletion, data corruption, or a cybersecurity incident.
• Identity and Access Management (IAM) Managing user identities and their access to systems and data. This includes strong authentication methods and user provisioning/deprovisioning.
• Big Data: Handling and analyzing large sets of data that traditional data processing applications may struggle with.
• Privacy Policies: Clearly defining and communicating how an organization collects, uses, and shares personal information. This is especially important for complying with privacy regulations.
• Compliance with Regulations Adhering to data protection laws and regulations that apply to the organization's operations. Example in South Africa includes POPI act, PCI-DSS for financial industries, and others depending on the jurisdiction.
• Data Auditing and Monitoring Monitoring data access and usage, and conducting regular audits to ensure compliance with security policies.
• Employee Training: Providing training and awareness programs to educate employees about the importance of data protection and best practices for handling sensitive information.