In the digital world, where countless users communicate, share data, and engage in diverse activities, determining the origin and actions behind these interactions can be quite challenging. This is where non-repudiation steps in. Coupling other security factors, such as delivery proof, identity verification, and a digital signature, creates non-repudiation. This guarantees that the parties involved in the transmission are unable to renounce the execution of an action.

Attackers predominantly use phishing attacks to steal and misuse user identities. A global Statista study on employee-reported malicious emails revealed that in the first quarter of 2023, 58.2% of malicious emails were credential theft attacks, 40.5% were impersonation attacks, and 1.3% were malware deliveries. Phishing attacks create a sense of urgency and panic in users, who, as a result, easily fall victim to them.

The rapid advancements in large language models (LLMs) have revolutionized the manner in which we interact with technology. These powerful AI systems have found their way into a wide range of applications, from conversational assistants and content generation tools to more complex decision-making systems. As the adoption of LLM-powered applications continues to grow, it has become increasingly crucial to prioritize the security and safety of these technologies.

Complying with data protection regulations isn’t easy, but it has traditionally involved dealing with familiar risks. For example, do your IT admins have the right amount of access to systems touching sensitive information? Review, remediate, report, and repeat. Compliance has been cumbersome, but workable. The problem is, today’s attack surface is nowhere near workable. And it’s evolving to include threats that most compliance programs aren’t yet accounting for.

Understanding the factors influencing cybercriminal behavior is essential for developing effective cybercrime prevention strategies. Rationality plays a significant role in shaping criminal decisions, particularly through the lens of the rational actor model and deterrence theory.

Application development is a multistage process. The App goes through various stages, each with its own area of focus. However, application security, a.k.a. AppSec, is constant throughout all the stages. For example, when a developer codes, it’s expected that the code will be secure. Similarly, the artifacts that are worked upon or generated as an end output of the respective stages are all required to be secure.