Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI

Response Accuracy Retention Index (RARI) - Evaluating Impact of Data Masking on LLM Response

As language models (LLMs) in enterprise applications continue to grow, ensuring data privacy while maintaining response accuracy becomes crucial. One of the primary methods for protecting sensitive information is data masking. However, this process can lead to significant information loss, potentially rendering responses from LLMs less accurate. How can this loss be measured?

Deceptive AI: A New Wave of Cyber Threats

As artificial intelligence (AI) technology advances, its influence on social media has become more and more pervasive and riddled with challenges. In particular, the ability for humans to discern genuine content from AI-generated material. Our recent survey conducted with OnePoll on over 2,000 UK workers found that a substantial portion of social media users are struggling to navigate this new digital frontier.

Bitsight GIA: AI-Powered Asset Mapping and Attribution

Last month, my colleague Arzu Ozbek Akay shared some insights about the impact that Bitsight Groma, our next-generation scanner, is already having on our products. Today, I’m going to follow that up with an update on the momentum we’re seeing with the second core component of our data engine: Bitsight Graph of Internet Assets (GIA). As a quick refresher, GIA uses advanced graph technology and AI models to map assets to specific organizations and build Ratings Trees at a global scale.

Elastic AI Assistant and Attack Discovery integrate with Google Vertex AI to help drive further AI adoption

AI-driven security analytics reduces analyst burnout Most SIEM technologies in today’s market have not kept up with the pace of innovation and place a heavy burden on security analysts to perform manual, labor-intensive tasks in order to maintain defenses. Generative AI is helping security professionals address today’s dynamic threat landscape and prepare for future threats.

Secure, Compliant, Privacy Preserving Analytics/RAG for Data Lakes

Discover how our intelligent data masking solution ensures secure, compliant, and privacy-preserving analytics for your data lakes. Protecto maintains data integrity while empowering your organization to leverage analytics or enable AI/RAG without compromising privacy or regulatory compliance.

Keeping Financial Services Organizations Secure in an AI World

When we talk about financial services and technology, security and regulatory compliance are always top of mind. And now, Generative AI has entered the chat - one of the most talked-about technologies of recent years. And Financial Services institutions have only begun to scratch the surface of what generative AI can do. The problem is, so have cyber threat actors. In this session from Splunk, and IDC, you’ll hear key insights into how financial services companies are improving their security posture in an AI World, and how those practices can benefit your organizations.

Sysdig's AI Workload Security: The risks of rapid AI adoption

The buzz around artificial intelligence (AI) is showing no sign of slowing down any time soon. The introduction of Large Language Models (LLMs) has brought about unprecedented advancements and utility across various industries. However, with this progress comes a set of well-known but often overlooked security risks for the organizations who are deploying these public, consumer-facing LLM applications.

The Rise of the Machines and the Growing AI Identity Attack Surface

In 1968, a killer supercomputer named HAL 9000 gripped imaginations in the sci-fi thriller “2001: A Space Odyssey.” The dark side of artificial intelligence (AI) was intriguing, entertaining and completely far-fetched. Audiences were hooked, and numerous blockbusters followed, from “The Terminator” in 1984 to “The Matrix” in 1999, each exploring AI’s extreme possibilities and potential consequences.

Why You Should Stick With Answering Service Instead of AI Answering

Communication is essential in today's fast-paced corporate environment. To keep customers satisfied and loyal, businesses of all sizes need to respond to their queries in a quick and correct manner. Businesses are becoming more and more inclined to replace human operators with automated systems as AI-powered response services become more popular. As found in a Fortune Business Insights study, the global call center AI market size was around $1.60 billion in 2023. It is further estimated to grow from $1.95 billion in 2024 to $10.07 billion by 2032.