Insider Threat Program – Successes and Lessons Learned

Strategic Relevance

  • The insider threat program holds significant strategic importance for organizations as it enables early detection of insider threats, preventing potential attacks and minimizing harm.
  • Recent statistics reveal a concerning trend, with insider threat-related incidents increasing by 50% over the past two years. This highlights the critical need for organizations to prioritize the implementation of robust insider threat programs to safeguard their sensitive data, intellectual property, and overall organizational security.
  • Proactive detection and mitigation of insider threats can save organizations from reputational damage, financial losses, and potential legal implications.

Challenges & Opportunities

Challenges:
  • Defining use cases for risky activities poses a challenge.
  • Performing deep content inspection to identify malicious actions can be akin to searching for a needle in a haystack.
  • Detailed monitoring and analysis of logs present challenges.
Opportunities: 
  • Building a skilled pool of resources offers an opportunity for effective insider threat management.
  • Having more matured products in the market presents opportunities for improved detection and prevention of insider threats.

Future Trends

  • The number of state-sponsored insider attacks is expected to increase, posing a significant concern for organizations.
  • The utilization of artificial intelligence (AI) in identifying, detecting, and responding to insider threats is anticipated to become more prevalent.
  • This advanced technology can enhance the ability to proactively identify and mitigate insider threats, providing organizations with an additional layer of defense.
Best Practices & Key takeaways
  • Proper classification of data is crucial for effective insider threat management.
  • Accurate identification of users helps in monitoring and detecting potential insider threats.
  • Adoption of User and Entity Behavior Analytics (UEBA) solutions can provide advanced insights into user behavior for proactive threat detection.
  • Behavior profiling aids in identifying anomalous activities and potential insider threats.
  • Defining relevant use cases helps in identifying and flagging suspicious activities for timely investigation and response.
Manoj Arora
Vice President – Information & Cyber Security
Religare Finvest Limited

Disclaimer: The views expressed in this feature article are of the author. This is not meant to be an advisory to purchase or invest in products, services or solutions of a particular type or, those promoted and sold by a particular company, their legal subsidiary in India or their channel partners. No warranty or any other liability is either expressed or implied.
Reproduction or Copying in part or whole is not permitted unless approved by author.

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