Top 10 Cybersecurity Trends & Innovations in 2022

As seen on StartUs Insights.


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With the increase in the number of connected devices, especially the Internet of Things (IoT) devices, the risks of cyber attacks are also growing. Security teams are tackling software and network vulnerabilities and hardware-level bugs with technological advances. We give you a comprehensive view of global cybersecurity trends so that you can follow the latest developments in the industry. For example, IT teams are transitioning to automated threat detection and response workflows to mitigate malicious attacks. Read more to explore the top trends impacting the cybersecurity sector.


Top 10 Cybersecurity Trends
  1. Automated Threat Management
  2. Cloud Security
  3. Zero-Trust Architecture
  4. Identity Management
  5. Behavioral Analytics
  6. Cyber Governance
  7. Endpoint Protection
  8. Cybersecurity as a Service
  9. Blockchain Security
  10. Cybersecurity Mesh

Behavioral Analytics

As man-in-the-middle and phishing attacks become more common, security teams cannot rely only on password authentication for identity verification. This is where behavior analytics comes in, along with MFA. It leverages historic and real-time data to examine trends, patterns, and habits in user workflows. So, whenever a user or user’s device deviates from the standard workflows, behavior analytics solutions flag the activity and take necessary measures to avoid cyber risks. This enables a context-aware workflow in cyber risk management. Startups develop such solutions using machine learning or advanced analytics that alert IT teams upon detecting suspicious activities in their networks. Since the control of insider threat management is minimal, this risk-based approach significantly reduces data leaks from people within organizations.

Neosec offers Application Security

Neosec is a US-based startup that builds an application security platform. It leverages AI to collect and analyze data from application programming interfaces (APIs) for investigations and threat hunting. The platform’s behavioral analytics interprets normal and abnormal usage to detect misconfigurations, misuse, and business logic abuse. This enables IT admins to collect context-specific information and quickly respond to threats.




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