I know I thought we were safe!!
CYBERSECURITY
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EDR: Real-Time Monitoring and Automated Threat Response
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Endpoint Detection and Response (EDR) is a cybersecurity approach for all internet-connected devices or 'endpoints'. It employs real-time monitoring, data collection, and an automated response system to potential threats, thereby bolstering our defenses. Microblog @antgrasso
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Cyber Risk Management Strategy for Digital Transformation
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Enjoyed my conversation with @Kevin_Jackson and @sallyeaves on how to support cyber risk management through strategy and cost-benefit analysis for digital transformers. Here is the #BizTalk: https://
bit.ly/3Vm813L #cybersecurity #network #security #attinfluencer -

Prompt Injection Explained with Video Slides and Transcript
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Prompt injection explained, with video, slides, and a transcript https://
bit.ly/41U1KxC -

Deepfakes AI threat to intelligence democracy requires urgent action
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and Andy Makridis, former COO of the CIA, highlighted on our last panel with Chairman Mac Thornberry, Michèle Flournoy, and @LeeHudson_
: Our intelligence agencies, and democracy broadly, are going to need to confront the enormous problem of deepfakes and AI-powered -
Apple Eye Sensor Privacy: On-Device Data Protection
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The eye sensor data doesn’t leave the device. Apple is well aware of the problems that could come.
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Transformer-based Vulnerability Detection in Code: Zero-shot, Few-shot, Fine-tuning
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Transformer-based Vulnerability Detection in Code at EditTime: Zero-shot, Few-shot, or Fine-tuning? paper page: https://
huggingface.co/papers/2306.01
754
… Software vulnerabilities bear enterprises significant costs. Despite extensive efforts in research and development of software vulnerability -

Detecting AI-Generated Bad Content in the Digital Age
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Catching bad content in the age of #AI https://
bit.ly/431fWpC via @techreview -

Large Language Models for Private Synthetic Text Generation
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Harnessing large-language models to generate private synthetic text paper page: https://
huggingface.co/papers/2306.01
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… Differentially private (DP) training methods like DP-SGD can protect sensitive training data by ensuring that ML models will not reveal private information. An alternative -
Three Tips For Keeping Your Development Pipeline Secure And Compliant
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Three Tips For Keeping Your Development Pipeline Secure And Compliant
#AI #AIio #BigData #ML #NLU #Futureofwork @Kevin_Jackson @sallyeaves @schmarzo @kdnuggets @akwyz @BrettKing @TechNative @MiaD http://
ow.ly/UHVx30svtqi