AI

As agentic AI systems grow increasingly complex, it becomes clear that this class of applications relies on a multi-layered architecture. Trying to chart such architecture reveals several security risks that could plague each layer. This article investigates the possible scenarios and offers actionable insights to secure each layer and combat such threats.

As open-source AI models become foundational to digital infrastructure, hidden backdoors and tampered supply chains pose a growing, under-recognized threat that traditional security tools can fail to detect.

Email-based cyber threats are growing more sophisticated, with attackers increasingly using tactics like QR code phishing, known malware variants, and AI-powered impersonation to bypass traditional defenses and target users, data, and systems.

The Trend 2025 Cyber Risk Report sustains our shift towards proactive security. Protecting enterprises is no longer about stopping breaches but is now about staying ahead, making cybersecurity a business enabler. By looking at the 2025 risk landscape, we recognize exposures and understand attacker behavior to be able to implement countermeasures, transforming security from a challenge to a catalyst for innovation and business growth.

This article offers a fresh perspective on AI security, emphasizing that while core AI models are often the focus, the surrounding infrastructure and cloud services are equally critical to securing AI applications, particularly with the rise of AI-as-a-Service.

Consumer data will be the hot commodity in the underground for 2025, with cybercrime expected to cost over $10 trillion in this coming year. Criminals will continue to develop new ways to exploit vulnerable areas, increasing enterprise risk as the attack surface expands.

Digital Assistants (DA) are AI-driven software, sometimes embedded into dedicated hardware and integrated with multiple systems, that understand natural language and use them to perform various tasks

How can misconfigurations help threat actors abuse AI to launch hard-to-detect attacks with massive impact? We reveal how AI models stored in exposed container registries could be tampered with— and how organizations can protect their systems.

This analysis investigates the security risks of eKYC systems in relation to deepfake attacks, highlighting the diverse strategies employed by cybercriminals in bypassing eKYC security measures.