Advancing Threat Detection in 2025: AI, Automation, and the Future of Security

Essential Insights from the SANS Institute and Anvilogic are provided by the SANS Institute as 67 % of organizations transition to behavior-based recognition.

Bethesda, MD, Feb. 20, 2025 ( World NEWSWIRE )– De Institute, the world leader in security training and research, in collaboration with Anvilogic, is set to provide a thought-provoking broadcast,” “, on February 25, 2025, at 3: 30 PM EST / 20: 30 UTC. Key results from the Une and Anvilogic Detection Engineering Survey will be presented at this special occasion, giving security professionals data-driven insights into the rapidly changing threat detection landscape.

The webcast will highlight the crucial role that dynamic detection techniques play in strengthening cybersecurity defenses as organizations deal with more advanced cyber threats. Detection technicians, CISOs, safety managers, and security professionals will gain firsthand understanding of the latest market trends, best practices, and the growing part of AI in protection operations.

Important Insight from the Survey:

• The human factor still has a significant place in society despite the development of AI and robotics. Over 70 % of respondents identified triage, incident response, and attack mapping as their most valued skills, while data engineering and threat modeling emerged as key areas for development.

• AI is Poised to Revolutionize Detection Engineering: Currently, only 45 % of organizations leverage AI in their detection workflows, yet 88 % anticipate AI will significantly impact their operations within the next three years.

• Automation is a Crucial Stepping Stone to AI: 30 % of businesses plan to implement it by the month, while 63 % of companies already do so. 44 % specifically want to make the creation of surveillance data architecture and detection rules simpler, a significant shift in the direction of AI-driven detection.

Top 5 Styles in Detection Engineering:

1. Behavior-Based Detection Takes the Lead: 67 % of companies today rely on behavior-based recognition over traditional signature-based techniques.

2. The Rise of Automation: With 63 % of organizations using technology and 30 % planning adoption, detection procedures are becoming more effective, freeing security team to focus on higher-value jobs.

3. Only 45 % of businesses report having sufficient access to the necessary data feeds, despite the fact that powerful detection depends on sound data management.

4. Skills Gap Keeps a Hurdle: 41 % of businesses struggle to find qualified monitoring professionals, underscoring the need for investment in training and labor growth.

5. AI’s Time is Coming: While present implementation is at 45 %, the market increasingly believes in its future, signaling a revolutionary change in security procedures.