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Privacera Enhances AI Governance Solution with Access Control and Data Filtering

According to a new press release, Privacera, the pioneering AI and data security governance company founded by the minds behind Apache Ranger, has unveiled new features enhancing access control and fine-grained data filtering for Vector DB/RAG within Privacera AI Governance (PAIG). Don Bosco Durai, Privacera’s co-founder and CTO, emphasized the importance of maintaining original source […]

AI Governance Best Practices

AI governance is meant to promote the responsible use of artificial intelligence for the betterment of humankind. Artificial intelligence has proven itself quite useful in completing a large variety of tasks quickly and efficiently. Unfortunately, it can also be used to support criminal behavior or to create and distribute misinformation. AI governance is an effort […]

Responsible-First AI Governance: Addressing Ethical Concerns for Scalable Adoption

The world of artificial intelligence (AI) is evolving rapidly, bringing both immense potential and ethical challenges to the forefront. In this context, it is essential to remember that intelligence, when misused, can be graver than not having it at all. As AI technologies scale and become increasingly influential in various sectors, responsible governance becomes paramount […]

Fast-Tracking SEC Compliance with AI for GRC and Cybersecurity Disclosure

This year, the U.S. Securities and Exchange Commission (SEC) implemented rules on Cybersecurity Risk Management, Strategy, Governance, and Incident Disclosure for Public Companies. These rules require listed companies to disclose material cybersecurity incidents within four business days and provide ongoing disclosures related to cybersecurity risk management, strategy, and governance. As the December 15 compliance deadline […]

IBM Unveils New Platform for AI Governance

According to a new press release, IBM has introduced watsonx.governance, a platform set to be available in early December. The platform is designed to assist businesses and governments in managing and building trust in generative AI. It addresses the challenges posed by generative AI, particularly those associated with large language models (LLM), such as potential […]

The Growing Importance of AI Governance

New technologies often engender fear and foreboding among people outside tech industries. The latest example of this trend is artificial intelligence (AI), which is a topic of much concern and misunderstanding among the public. It’s easy to dismiss these qualms as the common human tendency to mistrust the unknown. However, much of the alarm about AI […]

AI Ethics and Innovation for Product Development

AI ethics are a factor in responsible product development, innovation, company growth, and customer satisfaction. However, the review cycles to assess ethical standards in an environment of rapid innovation creates friction among teams. Companies often err on getting their latest AI product in front of customers to get early feedback. But what if that feedback […]

AI and Data Privacy: Where Do They Intersect?

According to new research from IBM, 35% of companies now use AI in their business. From health care to manufacturing to government, data-driven organizations across all major industries are realizing the benefits of AI: automation of repetitive tasks, faster processing of data, improved accuracy, and more. But as AI adoption becomes more widespread and advanced, business leaders […]

Fundamentals of AI Ethics

In the world of enterprise technology, AI is a fast-growing sector, with no end in sight. A recent survey by PwC found that 86% of executives expected AI to become mainstream in their organization soon. Data-driven businesses want to reap the benefits of AI implementation, including better customer relationships, more efficient business processes, and valuable marketing data. […]