security


Machine learning and biometrics: financial services market in the middle of a revolution

#artificialintelligence

The European Commission's revised Payment Service Directive (PSD2) represents a broad sweep of financial services sector regulations that will come into force next year. And when Gemalto conducted a recent survey of 11,000 digital and mobile banking consumers across 14 markets, we found that 44% would switch banks if theirs was breached. Using machine learning to create personalised authentication scenarios – Machine learning and artificial intelligence routines can be used to develop personalized authentication profiles for individuals. Open banking: unlocking fintech innovation This is where the opportunity for innovation in the sector lies.


Eleonore Pauwels on the Intersection of Genomics, Synthetic Biology, Artificial Intelligence, and Security

#artificialintelligence

As part of our new book "What's Your Bio Strategy?" The following is an excerpt from one of those interviews. To find out when the book goes on sale subscribe to our newsletter here.


The Top 10 AI And Machine Learning Use Cases Everyone Should Know About

#artificialintelligence

Very basically, a machine learning algorithm is given a "teaching set" of data, then asked to use that data to answer a question. Many prestigious trading firms use proprietary systems to predict and execute trades at high speeds and high volume. Machine learning algorithms can process more information and spot more patterns than their human counterparts. Intelligent machine learning algorithms analyze your activity and compare it to the millions of other users to determine what you might like to buy or binge watch next.


machine-learning-in-cybersecurity-mcafee

#artificialintelligence

In the field of cybersecurity, reliance on machine learning amplifies the capabilities of the humans we have, making security teams better. There are many exciting things under development in McAfee Labs that will further leverage machine learning in these areas. While 75 percent of consumers believe it's very important to secure their online identities and connected devices, nearly half are uncertain if they are taking the proper security steps. "There are many exciting things under development in McAfee Labs that will further leverage machine learning in these areas."


Watch Hackers Hijack Three Robots for Spying and Sabotage

WIRED

At the Hack in the Box security conference later this week in Singapore, Argentinian security researchers Lucas Apa and Cesar Cerrudo plan to demonstrate hacker attacks they developed against three popular robots: the humanoid domestic robots known as the Alpha2 and NAO, as well as a larger, industrial-focused robotic arm sold by Universal Robots. In terms of actual, physical danger, the most serious of the three attacks Cerrudo and Apa developed affects Universal Robots' "collaborative" robots. That earlier study found more than 50 hackable security vulnerabilities in robots and robotics software sold by companies that also included Rethink Robots, Robotis, and Arsatec. Earlier this year, another team of researchers from Italy's Politecnico Milano showed that they could take over an even larger, potentially more dangerous industrial robot arm, the 220-pound ABB IRB140.


Using artificial intelligence and machine learning to augment, not replace, cybersecurity capabilities Bloomberg Government

#artificialintelligence

While cybersecurity vendors add AI branding to their products, the reality is that a majority of today's solutions deliver subsets of AI capability – in particular, Machine Learning and Deep Learning. Machine Learning is used to create flexible multi-dimensional decision processes; supervised models capable of rapidly detecting and labeling new classes of threats, and unsupervised systems that learn the behaviors of a system or network over time and alert to attacker behaviors and rare threat events. Adopting and improving on decades-old "expert system" learning processes, security anomalies (false positive, true positive and unlabeled alerts) are initially responded to by a skilled security analyst, and their deduction processes and conclusions are learned by the system. Any technology that enables an analyst or threat responder to focus on the half-dozen critical events of the day (rather than distill 50,000 erroneous alerts generated each day) is viewed as a gift from above.


amazon-brings-artificial-intelligence-to-cloud-storage-to-protect-customer-data

#artificialintelligence

The new service dubbed Amazon Macie relies on Machine Learning to automatically discover, classify, and protect sensitive data stored in AWS. This service reports potential risks involved with the stored data, its permissions, and access patterns. Chris Vickery, a cyber risk security analyst from UpGuard, discovered several passwords and keys belonging to Booz Allen employees working on the NGA project in publicly accessible Amazon S3 Buckets. Though Amazon S3 is the only data source supported by Macie, AWS is expected to bring other services such as Amazon RedShift, Amazon RDS, Amazon Elastic File System into the fold.


[slides] #FinTech for Success @CloudExpo @CloudRaxak #Blockchain #AI #ML #DL #DX

#artificialintelligence

With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-4, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. Join Cloud Expo @ThingsExpo conference chair Roger Strukhoff (@IoT2040), October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 21st Cloud Expo @ThingsExpo October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track.


Amazon Brings Artificial Intelligence To Cloud Storage To Protect Customer Data

#artificialintelligence

The new service dubbed Amazon Macie relies on Machine Learning to automatically discover, classify, and protect sensitive data stored in AWS. This service reports potential risks involved with the stored data, its permissions, and access patterns. Chris Vickery, a cyber risk security analyst from UpGuard, discovered several passwords and keys belonging to Booz Allen employees working on the NGA project in publicly accessible Amazon S3 Buckets. Though Amazon S3 is the only data source supported by Macie, AWS is expected to bring other services such as Amazon RedShift, Amazon RDS, Amazon Elastic File System into the fold.


Security & Risk of Artificial Intelligence - Internetseekho

#artificialintelligence

All the technology position, from SIRI to self-driving cars, web search, face recognition, industrial robots, missile guidance and artificial intelligence (AI) is developing rapidly with the time. Today Artificial Intelligence is known as narrow AI or weak AI that is designed to perform a narrow task. Moreover, al AI arms race could lead an AI war unintentionally to cause mass causalities. There are also more fascinating controversies where the world's leading experts disagree like AI's future impact on the job market; when human-level AI will be developed; whether this will be leading to an intelligence explosion; and whether this is what we should welcome or fear.