Information technology (IT) may include any form of technology that is used by a company/institution to handle information. It may range from computing, telecommunications technologies to broadcasting. Since it’s emergence it has diffused into almost all aspects of daily life like education, entertainment, scientific and professional work, etc. Especially in developing countries like India, advanced information technology industries have secured a powerful position due to their network infrastructure. They are speeding the work process by facilitating the storage and transmission of digital information.
Recent advancements in the Internet of Things (IoT) have increased reliance on IT but it has also brought in the limelight the need to secure data amidst the rise of cyberattack as a service. The inadequate screening measure of data breaches has exposed sensitive and critical data (Intellectual property and personal data) to cyber risks. It has lead to data corruption or its complete loss. Such incidents have incurred huge financial losses, reputational damage, legal issues, disruption of operations, and lost consumer confidence and respect for the institution.
The use of technology also comes with the protection of data and that is done through data security. Data security is a complex set of protective measures against both accidental and intentional unauthorised access. It includes identifying, evaluating, and reducing risks related to sensitive information.
Common Data Security Breaches
Risks are higher for bigger infrastructure based companies as they are less aware of where critical and regulated data is being held. Malware can easily be installed and sensitive data can be leaked without permission.
A report by McAfee estimates that such data breaches cost world 0.08% of global GDP. The quick adoption of new technologies and an increased number of online users has accelerated the growth of cyber-crimes. The increased risk is being effected via viruses, phishing, denial of services to legitimate users.
Screening and Prevention Measure
Protecting sensitive data requires far more than implementing basic security technologies
- Sorting and labeling: The risk of improper data can be avoided by data scanning and classification and labeling it with tags.
- Encryption: Critical information should be made unreadable by the encoding mechanism.
- Dynamic Data Masking: Dynamic data masking to be used to support real-time masking to discourage non-privileged users.
- Compliance Agreement: Building compliance-based agreements and security policies for risk management and prevention.
- Surveillance: Configuring access controls and monitoring vulnerabilities.
The majority of security breach incidents are either done for ransomware or revenge such malicious intents put generous data to vulnerabilities. Minimizations of such risks require both technological as well as human factors. Data security risk management, analysis, and management are critical to keeping such data safe.
Especially in developing countries like India, advanced information technology industries have secured a powerful position due to their network infrastructure. They are speeding the work process by facilitating the storage and transmission of digital information. The majority of security breach incidents are either done for ransomware or revenge such malicious intents put generous data to vulnerabilities.