Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Riscosity

Salt Typhoon, The Shadow in the Digital Storm

Salt Typhoon is suspected to be an Advanced Persistent Threat (APT) group. Their origins are linked to state-sponsored entities in Asia, leveraging their technical expertise to breach some of the world’s most critical telecom infrastructure. Unlike ransomware groups that aim for monetary gain, Salt Typhoon’s primary objective is espionage, focusing on data theft and surveillance.

Why CASB Solutions Are Unsuitable for Detecting AI Usage in Organizations

Cloud Access Security Brokers (CASBs) are essential tools for many enterprises, acting as intermediaries between users and cloud services to provide visibility, enforce security policies, and ensure compliance. While CASBs excel at managing traditional SaaS (Software-as-a-Service) applications, they fall short when it comes to detecting and managing the use of AI tools within an organization.

Understanding ROPA: Who, What, Why?

ROPA is primarily utilized by organizations subject to data protection regulations. While it is a legal requirement for businesses of all sizes handling personal data, it is especially critical for large enterprises that process substantial volumes of data or sensitive information. Compliance officers, data protection officers (DPOs), legal teams, and IT departments often rely on ROPA to demonstrate compliance to regulators during audits or investigations.

The HIPAA to HISAA transformation

The healthcare industry stands at the cusp of a major transformation with the introduction of the Healthcare Information Security Accountability Act (HISAA), a progressive regulatory framework set to replace the decades-old Health Insurance Portability and Accountability Act (HIPAA). HISAA is designed to address the evolving complexities of healthcare data management, emphasizing real-time data governance, proactive monitoring, and stricter controls over third-party data exchanges.

DPDP, India's Privacy Law

India's Digital Personal Data Protection (DPDP) law, enacted in 2023, represents a pivotal step in safeguarding personal data privacy while fostering accountability among entities handling such data. As businesses grapple with its requirements, understanding its core mandates, applicability, timeline, and implications is critical for compliance and operational efficiency.

LLMs - The what, why and how

LLMs are based on neural network architectures, with transformers being the dominant framework. Introduced in 2017, transformers use mechanisms called attention mechanisms to understand the relationships between words or tokens in text, making them highly effective at understanding and generating coherent language. Practical Example: GPT (Generative Pre-trained Transformer) models like GPT-4 are structured with billions of parameters that determine how the model processes and generates language.