Dataiku Launches LLM Guard Services to Control Generative AI Rollouts From Proof-of-Concept to Production in the Enterprise  

Dataiku, the Universal AI Platform, today announced the launch of its LLM Guard Services suite that is designed to advance enterprise GenAI deployments at scale from proof-of-concept to full production without compromising cost, quality, or safety.

Report Findings – Security Pros Identify GenAI as the Most Significant Risk for Organizations

HackerOne, a leader in human-powered security, revealed data that found 48% of security professionals believe AI is the most significant security risk to their organization.

New Report – 66% of Data Leaders Want More Governance and Enhanced Security

Informatica recently published a global report highlighting what senior-level data leaders need for a modern and competitive data architecture. A staggering 86% cite the need for improved data management, efficiency and operational costs as core decision drivers. Scaling AI at the enterprise level requires data management systems to process massive amounts of data accurately.

How AI Is Lending a Helping Hand in the Data Security Industry

In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, highlights how AI is turning into the trusty sidekick that every cybersecurity hero needs. Let’s dive into how AI is shaking things up and helping keep our digital lives safe and sound.

Cohesity Bolsters Cyber Resilience with GenAI Capabilities 

Cohesity, a leader in AI-powered data security and management, today extended its first-mover advantage in GenAI detection and recovery capabilities with the addition of significant new enhancements to the Cohesity Data Cloud. These improvements allow customers to use Cohesity’s built-in AI capabilities to rapidly detect, investigate, and address potential threats within their environment, enabling them to restore operations far more quickly.

New AI Data: 88% of SMBs Use AI and 40% Concerned about Security

Our friends over at Pax8, a leading cloud commerce marketplace, released a new global report in collaboration with Microsoft and Channelnomics on the AI buying trends of Small and Midsize Businesses (SMBs).  

Leveraging Big Data for Enhanced Cybersecurity Solutions

In this contributed article, Alexander Norell of VikingCloud explores how big data analytics can significantly improve cybersecurity strategies by enabling more accurate threat detection and real-time response capabilities.

Bringing DAG and IGA Together for Improved Security and Compliance

In this contributed article, Ronald Zierikzee, senior solutions consultant for Benelux, Omada, examines crucial tools that work in tandem to ensure that remote workers, employees and contractors are able to access the information they need – and only that information – in a secure and successful manner. Identity governance and administration (IGA) helps manage user identities and access across an enterprise, helping improve visibility into access privileges and helping to implement the necessary controls to prevent inappropriate or risky access. Data access governance (DAG) is the process of managing and controlling access to an organization’s data resources.

The Synergy of AI and Cloud Transformation in the Payment Sector: Advancing Security, Scalability, and Innovation

In this contributed article, technical leader Kamala Manju Kesavan discusses how AI and cloud computing research in the payment industry sheds light on a prosperous arena of inventions and transformation. In the near future, the payment sector will probably welcome advanced technologies such as blockchain, biometric authentication, and AI-powered solutions, which will lead to transactions that will be more secure, rapid, and user-friendly.

Securing GenAI in the Enterprise

Opaque Systems released a new whitepaper titled “Securing GenAI in the Enterprise.” Enterprises are chomping at the bit to use GenAI to their benefit but they are stuck. Data privacy is the number one factor that stalls GenAI initiatives. Concerns about data leaks, malicious use, and ever-changing regulations loom over the exciting world of Generative AI (GenAI), specifically large language models (LLMs).