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Securing Remote OT Operations:

Palo Alto Networks

However, these advancements come with heightened security risks. This expanded attack surface has made OT systems a prime target for cyber threats, underscoring the need for a robust security framework tailored to remote OT environments. This approach minimizes exposure, limiting each users access to essential systems only.

Security 111
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How ML System Design helps us to make better ML products

Xebia

With the industry moving towards end-to-end ML teams to enable them to implement MLOPs practices, it is paramount to look past the model and view the entire system around your machine learning model. The classic article on Hidden Technical Debt in Machine Learning Systems explains how small the model is compared to the system it operates in.

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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Unit 42 Predicts the Year of Disruption and Other Top Threats in 2025

Palo Alto Networks

Additionally, the cost of cyber disruption will increase next year as businesses experience downtime due to cyberattacks and scramble to implement defenses fit for the AI-enabled attacker era. This could result in a greater challenge for cybersecurity professionals in defending against and mitigating the effects of such attacks.

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AI-Driven SOC Transformation with Cloudera: Enhancing Security Operations with Agentic AI

Cloudera

Security Operations Centers (SOCs) are the backbone of organizational cybersecurity, responsible for detecting, investigating, and responding to threats in real-time. In this blog, we explore how Agentic AI, powered by Cloudera , enhances SOC effectiveness and ensures secure, efficient operations. What are AI Agents?

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

Ground truth data in AI refers to data that is known to be factual, representing the expected use case outcome for the system being modeled. By providing an expected outcome to measure against, ground truth data unlocks the ability to deterministically evaluate system quality.

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Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails

AWS Machine Learning - AI

Key challenges include the need for ongoing training for support staff, difficulties in managing and retrieving scattered information, and maintaining consistency across different agents’ responses. Solution overview This section outlines the architecture designed for an email support system using generative AI.