AI Articles and Reports about Security

Explore articles and reports related to artificial intelligence for security, including applications in cybersecurity, defense, fraud detection, and more.

Tuning Machine Learning Algorithms with Scott Clark 3

Machine Learning in Infosecurity – Current Challenges and Future Applications

Episode Summary: Uday Veeramachaneni is taking a new approach to machine learning in infosecurity aka infosec. Traditionally, infosec has approached predicting attacks in two ways: 1—through a system of hand-designed rules and 2—through anomaly detection, a technique that detects statistical outliers in the data. The problem with these approaches, Veermachaneni says, is that the signal-to-noise ratio is too low. In this episode, Veermachaneni discusses how his company, PatternEx, is using machine learning to provide more accurate attack prediction. He also discusses the cooperative role of man and machine in building robust automated cyberdefense systems and walks us through a common security attack scenario.

Google Algorithm Disrupts Medical Field, Intel Launches Automated Driving Group, and More  - This Week in Artificial Intelligence 12-02-16 4

OpenAI’s Ilya Sutskever on Preparing for the Future of Intelligence

Episode Summary: Some organizations are leveraging artificial intelligence (AI) to help the world with research, some to help companies with marketing, and some are intent on ensuring that the future of AI doesn’t result in the end of humanity. Theres’a good likelihood that if you're reading this interview, that you're already familiar with OpenAI, an organization with the sole purpose of ensuring that the future of man and machines is a friendly one, and that the concentration of power and intelligence isn’t centralized in a way that would make AI a dangerous tool.

Network Intrusion Detection Using Machine Learning 4

Network Intrusion Detection Using Machine Learning

Episode Summary: When Google’s DeepMind won against one of the best modern Go champions, is used multiple AI approaches and exposed gaps in some individual strategies. This even has shed more light on AI, but also on the utility in combining approaches to AI for individual problems. Data security is one of these problem areas where multiple AI approaches is being used to make our information safer. Dr. Sal Stolfo has been a professor at Columbia in Computer Science since 1972 and is now also the CEO of Allure Security, with a focus on engineering network intrusion detection solutions using AI applications. In this episode, Stolfo talks about the various styles of AI and statical methods that have been and are being used to detect malicious activity, as well as how he believes the future of security is going to have to adapt as increasing amounts of data become available.

Artificial Intelligence and Security: Current Applications and Tomorrow's Potentials

Artificial Intelligence and Security: Current Applications and Tomorrow’s Potentials

Security is a broad term, and in industry and government there are a myriad of "security" contexts on a variety of levels - from the individual to nation-wide. Artificial intelligence and machine learning technologies are being applied and developed across this spectrum.

Machine Learning Cyber Security May Help Speed Response to Hack Attacks 2

Machine Learning Cyber Security May Help Speed Response to Hack Attacks

Episode Summary: In this week’s episode, I speak with Igor Baikalov, chief scientist at cybersecurity company Securonix, about the trends in data security and where security itself has had to take a step up in the last five years. Igor touches on major meta-trends that have forced data security to advance, as well as what has made AI and machine learning a ‘requirement’ of modern data security strategy, something that has changed significantly in the last decade. Igor sheds light on these issues and likely future trends in cybersecurity over the next five to 10 years.

Google and Microsoft Invest in "Privacy-Preserving" Deep Learning

Google and Microsoft Invest in “Privacy-Preserving” Deep Learning

Big data is big business. But in an age of digital privacy paranoia, it isn’t always easy for tech companies to get their hands on information – particularly when some of the most potentially beneficial data is also confidential, locked up in healthcare and finance companies who aren’t comfortable sharing.

Security

Explore articles and reports related to artificial intelligence for security, including applications in cybersecurity, defense, fraud detection, and more.