Learn how ioSENTRIX adapts threat modeling frameworks for AI and ML pipelines to address unique risks in data ingestion, model training, and deployment.

A gaming transaction refers to any financial activity associated with gaming or gambling. It includes actions such as a player depositing your platform or you paying out winnings to a player.

Discover how ioSENTRIX secures AI data pipelines from collection to inference. Learn best practices for data security in AI systems.

Learn how to implement Secure SDLC practices to meet PCI DSS standards and protect payment data.

Discover proven strategies for successful M&A integration: Early planning, Use of AI to address cultural challenges and Revenue synergies. Learn actionable steps to maximize value and drive growth in mergers and acquisitions.

Discover the pros and cons of offline vs. online LLM deployments. Learn how ioSENTRIX ensures robust privacy and security for both models.

Application Security or AppSec is the process of developing, testing, and adding security features within the applications to restrict security vulnerabilities such as unauthorized access or compromised security details. Learn more about the type, tools, and best practices in this blog post.

Advanced Red Teaming is a threat intelligence-driven framework to assess cyber resilience, enhance defense strategies, and simulate real-world attacks across sectors.

Software supply chain security recognizes and deals with potential risks in the technologies and procedures used in software development and distribution.

CSM is a threat intelligence method that helps automate the monitoring of an organization's security controls and vulnerabilities.

Learn how ioSENTRIX adapts ethical hacking techniques to secure AI systems. Discover how red teaming addresses adversarial attacks, data poisoning, and API exploitation.

Gaming has expanded into a significant global business from online casinos to eSports. The sector faces various threats, including volumetric DDoS attacks and account takeovers.