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• Firewall and Antivirus Software: Using firewall and antivirus software can
stop and alert users of any suspicious activity happening on their devices.
With the timely updated versions of the same, can go a long way in ensuring
data security. Firewalls use pre-configured rules to inspect all the packets
entering and exiting a network and, therefore, help stop malware and other
unauthorised traffic from connecting to devices on a network.
• Data Masking: It obscures data so that, even if criminals exfiltrate it, they
can't make sense of what they stole. Unlike encryption, which uses encryption
algorithms to encode data, data masking involves replacing legitimate data
with similar but fake data. This data can also be used by the company in
scenarios where using real data isn't required, such as for software testing or
user training.
• Training: Corporates must take up regular Data Security sessions
of their staff to sensitise them about following the data protection
processes being implemented and the importance of doing so.
Making them conscious of suspicious emails, links that they might
receive, not leaving their devices unlocked when unattended, keeping
software's up to date and not sharing passwords, are some of the
things that can be taken up.
• Audits and Testing of Security System: Regular audits and testing of security policies, integrated malware
protection, firewalls, Wi-Fi connections security, Hardware-based security, checking applications security, email
security and compliance also play very important role in maintaining data privacy and providing data security.
• Other Basic Preventions: Being aware of surroundings and threats from insiders, complying with security
regulations which might be shared by entrusted agencies or bodies which track online cyber activities all across
the world are few other ways to provide cyber security.
Differences between Data Security and Data Privacy
Data Privacy Data Security
Data privacy ensures the ethical and lawful use of data. Data security ensures the protection of data from
unauthorised access and breaches.
It focuses on how data is collected, used, shared, and It focuses on safeguarding personal data, business
stored so that the rights of individuals over their data data, intellectual property, and many more from
is protected. various threats.
How are Data Security and Data Privacy related to AI?
Data security and data privacy are crucial components of Artificial Intelligence (AI).
Data Security in AI
AI systems often rely on vast amounts of data for training and operation. Unauthorised access and tampering
could lead to inaccurate AI models and compromised outcomes. Many AI applications process sensitive data,
such as personal, financial, or health-related information. Strong data security measures can stop data breaches
and unauthorised access.
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