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AI and ML technologies are being increasingly integrated into digital security control solutions to enhance threat detection, automate incident response, and improve decision-making processes. AI-powered analytics enable security systems to analyze vast amounts of data in real time, identify anomalous behavior patterns, and proactively detect security incidents or breaches, thereby augmenting the capabilities of security operators and reducing response times.
As cyber threats become more sophisticated, reliance on traditional password-based security is diminishing. Multi-factor authentication, which requires two or more verification factors, is becoming a standard security measure for enhancing digital security. This trend is particularly pronounced in industries handling sensitive data, such as finance and healthcare.
Blockchain technology is being explored for its potential in various security applications due to its decentralized and tamper-evident nature. It offers the potential for securing transactions, identity verification, and safeguarding supply chains. Blockchain’s ability to maintain integrity and transparency while preventing fraud is attracting interest across multiple industries.