Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

protecto

LLM Guardrails: Secure and Accurate AI Deployment

Oct 21, 2024 By Rahul Sharma In Protecto
Deploying large language models (LLMs) securely and accurately is crucial in today’s AI deployment landscape. As generative AI technologies evolve, ensuring their safe use is more important than ever. LLM guardrails are essential mechanisms designed to maintain the safety, accuracy, and ethical integrity of these models. They prevent issues like misinformation, bias, and unintended outputs.
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riscosity

How to Safely Integrate LLMs Into Enterprise Applications and Achieve ISO 42001 Compliance

Oct 18, 2024 By Jackson Harrower In Riscosity
Enterprise applications, whether on-premise or in the cloud, access LLMs via APIs hosted in public clouds. These applications might be used for content generation, summarization, data analysis, or a plethora of other tasks. Riscosity’s data flow posture management platform protects sensitive data that would otherwise be accessible to LLM integrations.
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protecto

Emerging AI Use Cases in Healthcare: A Comprehensive Overview

Oct 18, 2024 By Amar Kanagaraj In Protecto
The integration of AI, especially Gen AI, into healthcare has been transforming the industry, enabling providers to enhance patient care, streamline operations, and reduce costs. Below is an overview of the most promising AI use cases in healthcare that are reshaping the industry.
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chaossearch

How to Detect Threats to AI Systems with MITRE ATLAS Framework

Oct 17, 2024 By David Bunting In ChaosSearch
Cyber threats against AI systems are on the rise, and today’s AI developers need a robust approach to securing AI applications that address the unique vulnerabilities and attack patterns associated with AI systems and ML models deployed in production environments. In this blog, we’re taking a closer look at two specific tools that AI developers can use to help detect cyber threats against AI systems.
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Addressing Cyber Risk and the Rise of AI

Oct 17, 2024 By Rubrik In Rubrik
In this episode of CISO Conversations: EU Data Regulations, Pierre-François Guglielmi, EMEA Field CISO at Rubrik, is joined by Trish McGill, an Executive Subject Matter Expert for Cyber Security IT/OT at De Heus Voeders and Nobian, Brian Wagner, Chief Technology Officer at Revenir, and Tim Clements, Owner of Purpose and Means. Together, they explore the impact of cyber-attacks and data regulations on business resilience, particularly concerning critical infrastructure, and how these factors ultimately affect profits.
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knowbe4

AI-Enhanced Cyber Attacks Top the List of Potential Threats Facing Data Security

Oct 17, 2024 By Stu Sjouwerman In KnowBe4
AI is quickly becoming the basis for more cyber attacks, leading organizations to realize the risk it presents. A new report now shows that AI-enhanced cyber attacks are now the top concern of security leaders. I recently wrote about how prolific ransomware attacks are and what the outcomes were for those experiencing attacks. In the same report - GetApp’s 2024 Data Security report – I also found some interesting data around where AI sits in the list of concerns for cybersecurity leaders.
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securitysenses

Using AI Detectors to Identify and Mitigate Harmful Online Content

Oct 16, 2024 By SecuritySenses In SecuritySenses
In today's digital age, online content is generated and shared at an unprecedented rate, leading to a landscape filled with diverse and rich information. However, this constant influx of data has also brought about a surge in harmful content, including hate speech, fake news, cyberbullying, and violent material. These forms of content not only jeopardize user safety but also threaten societal well-being. Addressing this issue requires innovative solutions, and artificial intelligence (AI) detectors have emerged as powerful tools in identifying and mitigating harmful online content.
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Rubrik

How to Execute a Secure M365 Copilot Deployment

Oct 15, 2024 By Simone Shaltiel In Rubrik
Microsoft Copilot is a powerful AI assistant that can leverage Microsoft 365 (M365) data from across an organization to generate accurate and relevant insights. But some of that data should be under special lock: you do not want sensitive enterprise information to be used as part of a large language model (LLM). And the reality is that common misconfigurations—such as mislabeled files and overly broad user permissions—can lead to sensitive data exposure to unauthorized users.
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