Pre-Enrollment

30th December 2026

Final Paper Submission

4th January 2027

Registration Deadline

14th January`2027

Conference Date

29th Jan - 30th Jan 2027

Call for Papers

The International Conference on AI-Driven Security and Trustworthy Systems invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Security, the conference aims to bridge theoretical advancements with real-world applications.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Ai Applications In Cybersecurity
02
Trustworthy Ai Systems And Security
03
Ethical Considerations In Ai Security
04
Machine Learning For Threat Detection
05
Ai-driven Incident Response Solutions
06
Bias And Fairness In Ai Security Models
07
Security Challenges In Ai Systems
08
Ai For Privacy Preservation Techniques
09
Case Studies On Ai Security Breaches
10
Future Trends In Ai And Security
11
Collaboration Between Ai And Security Teams
12
Ai Governance And Regulatory Issues
13
Impact Of Ai On Cybersecurity Workforce
14
User Trust In Ai-driven Systems
15
Security Metrics For Ai Applications
16
Resilience Of Ai Systems Against Attacks
17
Ai For Secure Software Development
18
Threat Modeling For Ai Systems
19
Best Practices For Ai Security
20
Ai In Risk Assessment And Management
Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review