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  1. How Data Quality Leads to Effective Machine Learning (ML) Models in Cybersecurity  Acceleration Economy
  2. 6 ways generative AI chatbots and LLMs can enhance cybersecurity  CSO Online
  3. 3 things businesses must do to secure applications in the AI era  TechCrunch
  4. AI is making it easier to crack passwords: How to protect yourself  USA TODAY
  5. Attributes of a mature cyber-threat intelligence program  CSO Online
  6. View Full coverage on Google News
Data quality needs to be clean for machine learning models in cybersecurity to be effective, says Rob Wood in this cybersecurity minute.Rob Wood explains why cybersecurity ML models need clean and ample data, proper input ranges, and robust data platforms, such as the security data lake.

How Data Quality Leads to Effective Machine Learning (ML) Models in Cybersecurity

AI researchers already use a range of evaluation benchmarks to identify unwanted behaviours in AI systems, such as AI systems making misleading statements, biased decisions, or repeating copyrighted content. Now, as the AI community builds and deploys increasingly powerful AI, we must expand the evaluation portfolio to include the possibility of extreme risks from general-purpose AI models that have strong skills in manipulation, deception, cyber-offense, or other dangerous capabilities.

An early warning system for novel AI risks

Generative AI chatbots and large language models can be a double-edged swords from a risk perspective, but with proper use they can also improve cybersecurity in key waysGenerative AI chatbots and large language models can be a double-edged swords from a risk perspective, but with proper use they can also improve cybersecurity in key ways

6 ways generative AI chatbots and LLMs can enhance cybersecurity | CSO Online

The Power of AI in Mapping and Navigation: From Self-Driving Cars to Drones - CityLife

The Power of AI in Mapping and Navigation: From Self-Driving Cars to Drones

Cybercriminals are turning to artificial intelligence to crack passwords. These are the steps you can take to protect yourself against hackers.Cybercriminals are turning to artificial intelligence to crack passwords. These are the steps you can take to protect yourself against hackers.

AI is making it easier to crack passwords: How to protect yourself

BlackBerry on Twitter: "“...the CISO’s main responsibility will remain the same: to understand and balance the challenges and benefits that come with these technologies, and to be ready to respond.” - #BlackBerry CISO Arvind Raman on how #AI will change the #CISO role. https://t.co/wobMPwrjBD" / Twitter

Kaspersky on Twitter: "Should #AI be regulated by the #government? If yes — why, and how can it be done? ⬇️ #cybersecurity #technology #machinelearning https://t.co/0GFL6coQx3" / Twitter

Carl Carrie (@🏠) on Twitter: "AI risks - model risks, injection risks, reputation risks, deep fake risks... The list of risks is too large for a CISO to mitigate alone without leaning in the direction of draconian measures. AI risks need to be embedded across CISO, tech & product orgs https://t.co/zcUVeVZD6h" / Twitter

b-com on Twitter: "[#AI for #cybersecurity] Tracking, prioritizing and preventing attacks "If you are a cyber defender, you may be dealing with hundreds of vulnerabilities. You need to know how those could be exploited and what you need to do to mitigate those threats." https://t.co/1Dshmsxwm7" / Twitter

Here are three actions organizations preparing their application security for a post-AI world need to consider in their security strategies.

3 things businesses must do to secure applications in the AI era | TechCrunch

Researchers in the US have used three key cybersecurity databases to train an open source AI model to protect all kinds of electronic systems. A team from the US Department of Energy’s Pacific Northwest National Laboratory, Purdue University, Carnegie Mellon University and Boise State University developed a natural language AI model that that automatically links vulnerabilities to […]

Open source AI model for cybersecurity ...

The Role of AI in Disaster Management: Predicting and Responding - CityLife

The Role of AI in Disaster Management: Predicting and Responding

Cybersecurity professionals are eyeing generative AI’s defensive potential with a mix of skepticism and excitement.

Reality check: What will generative AI really do for cybersecurity? | CyberScoop

The Impact of AI on Cybersecurity: Threat Detection, Response, and Prevention. - CityLife

The Impact of AI on Cybersecurity: Threat Detection, Response, and Prevention.

AI in Cybersecurity: The New Frontier in Digital Defense - CityLife

AI in Cybersecurity: The New Frontier in Digital Defense

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