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GenAI in Cybersecurity — Threats and Defenses

Palo Alto Networks

In the Unit 42 Threat Frontier: Prepare for Emerging AI Risks report, we aim to strengthen your grasp of how generative AI (GenAI) is reshaping the cybersecurity landscape. The Evolving Threat Landscape GenAI is rapidly reshaping the cybersecurity landscape. Secure AI by design from the start.

Malware 95
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When voice deepfakes come calling

CIO

Intro: Time was, a call center agent could be relatively secure in knowing who was at the other end of the line. And if they werent, multi-factor authentication (MFA), answers to security questions, and verbal passwords would solve the issue. A recent report found that fraudsters are not always trying to bypass authentication.

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Cybersecurity Snapshot: AI Security Roundup: Best Practices, Research and Insights

Tenable

In this special edition, we’ve selected the most-read Cybersecurity Snapshot items about AI security this year. ICYMI the first time around, check out this roundup of data points, tips and trends about secure AI deployment; shadow AI; AI threat detection; AI risks; AI governance; AI cybersecurity uses — and more.

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Secure Your 5G Business Transformation

Palo Alto Networks

These networks are not only blazing fast, but they are also adaptive, using machine learning algorithms to continuously analyze network performance, predict traffic and optimize, so they can offer customers the best possible connectivity. This leaves them with significant complexity and security gaps.

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What’s holding back CIO’s AI strategies? Their own AI learning curve for one

CIO

But it’s important to understand that AI is an extremely broad field and to expect non-experts to be able to assist in machine learning, computer vision, and ethical considerations simultaneously is just ridiculous.” “A certain level of understanding when it comes to AI is required, especially amongst the executive teams,” he says.

Strategy 199
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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

Traditionally, building frontend and backend applications has required knowledge of web development frameworks and infrastructure management, which can be daunting for those with expertise primarily in data science and machine learning. file in the GitHub repository for more information. Open config_file.py See the README.md

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How Facebook fights fake news with machine learning and human insights

The Parallax

Facebook, EFF security experts sound off on protecting the vulnerable. To combat fake (or “false”) news, McNally says, Facebook now employs a wide range of tools ranging from manual flagging to machine learning. More than you think. Ready to #DeleteFacebook? Follow these 7 steps. 7 ways to boost your Facebook privacy.