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As artificial intelligence (AI) continues to permeate various sectors globally, the need for robust compliance frameworks becomes increasingly critical. This article delves into the evolving landscape of AI compliance, focusing specifically on the unique considerations for India and Africa, drawing insights from current discourse and academic research. While our primary
secrets management
In today's regulatory landscape, organizations face increasing scrutiny regarding the protection of sensitive data. The phenomenon of secrets sprawl, as detailed in GitGuardian's "The State of Secrets Sprawl 2025" report, presents a significant but often overlooked risk that can lead to severe compliance violations
CMMC
The Cybersecurity Maturity Model Certification (CMMC) is a framework established by the Department of Defense (DoD) to enhance the cybersecurity posture of the Defense Industrial Base (DIB). It is designed to ensure that defense contractors adequately protect Federal Contract Information (FCI) and Controlled Unclassified Information (CUI) that resides on or
cybersecurity frameworks
In an era where critical infrastructure systems—such as power grids, water treatment facilities, and transportation networks—are increasingly interconnected, the vulnerability to cyber threats has escalated. Recognizing this pressing issue, the Naval Information Warfare Center (NIWC) Atlantic has developed the More Situational Awareness for Industrial Control Systems (MOSAICS) framework.
NIST CSF
August 2024 brought significant developments in global compliance including the EU AI Act implementation timeline, new state-level AI frameworks in the U.S., and enhanced data protection regulations across Asia-Pacific. This comprehensive update provides key insights for compliance professionals.
Switzerland
Switzerland is intensifying its cybersecurity measures as cyber threats escalate, introducing a stringent reporting regime for critical infrastructure operators. Effective April 1, 2025, the National Cyber Security Centre (NCSC) will require immediate incident disclosure under revised cybersecurity laws, marking a pivotal shift in national cyber defense strategy. Scope and Requirements
Maintaining robust cybersecurity policies is foundational for any organization striving for compliance and a strong security posture. However, the process of creating and keeping these policies up-to-date can be time-consuming, complex, and costly, especially for startups and small to medium-sized businesses (SMBs). GeneratePolicy.com offers a revolutionary solution: on-demand, AI-powered
The European Union’s Artificial Intelligence Act (EU AI Act) is poised to reshape the development, deployment, and use of AI systems within the EU and for organizations whose AI outputs are used within the EU. Compliance with this regulation necessitates a deep understanding of its technical definitions, risk classifications,
AI compliance
The discovery of 12,000 live API keys and passwords in DeepSeek’s training data underscores systemic privacy and compliance gaps in AI development. Below is a detailed analysis of compliance frameworks and mitigation strategies for securing AI training pipelines under evolving regulations like the GDPR and EU AI Act.
Vietnam compliance
Vietnam's Law on Data introduces unprecedented data governance obligations effective July 2025, establishing property rights for data owners and imposing strict requirements for cross-border transfers.
data protection
This article delves into the critical aspects of data breach notifications under the Personal Data Protection Act 2010 (PDPA) of Malaysia, offering a detailed guide for organizations to navigate compliance. The PDPA establishes key requirements for commercial organizations that process personal data. Recent amendments, including the Personal Data Protection (Amendment)
ISO 42001
As organizations increasingly adopt artificial intelligence (AI) technologies, ensuring compliance with standards like ISO 42001 is crucial for maintaining robust AI governance and risk management practices. ISO 42001 emphasizes systematic AI risk management, focusing on security, trustworthiness, and continuous monitoring. AI red teaming, a proactive and adversarial testing approach, plays