New ways of working to prevent cyber threats
Cyber threats are growing in frequency and severity, thereby making traditional approaches to security less effective. Along with increased focus on fundamental aspects like updating patch management and stronger third-party risk and compliance procedures, emerging technologies like Cloud, AI and ML, RPA, and Big Data can help orchestrate more effective cybersecurity strategies.
- The use of sequential hashing and cryptography in Blockchain systems, along with decentralized structure has made it impossible for a party to alter any data on the ledger, thus protecting client data and trade information and making it nearly impossible for hackers to attack.
- AI and Machine Learning (ML) algorithms help in fast detection of threats and limiting their spread by identifying outliers from normal patterns. They also help in keeping pace with the continuously changing threat landscape by training algorithms on new trends.
- RPA helps in lowering security-related efforts associated with employee training on security policies and practices as it provides a zero-touch environment. Tools and solutions come with audit logs that provide an immutable trail on the usage of PII information, which is required for regulatory reporting and compliance purposes.
- Cloud is reaching an appreciable maturity level. Firms should proactively address the risks associated with cloud computing and map regulatory requirements with their cloud approach to ensure resilience, availability and disaster recovery capabilities. Cloud-based security solutions complement the on-prem solutions with low maintenance costs, high availability and advanced analytics.
- Big Data is being used to identify cyber-attack trends from the vast amount of security data mined across end point devices. One of the growing technologies in the field of analytics is UEBA (User and Entity Behavior Analytics) which takes note of the normal conduct of users and detects deviations from normal patterns using machine learning, algorithms and statistical analyses.
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