security


Signature Addiction. Artificial Intelligence has a dirty little secret

@machinelearnbot

"Attracting Venture Capital for Dummies" is a best seller. The book states on page one, the Venture Capitalists (VCs) goal in life is to find cybersecurity unicorns. Much like a Cyndaquil Pokemon, unicorns have common traits and in order to attract VCs you must exhibit the commonalities of said unicorns. And for bonus points, require lots of data scientists. This is one of the two prerequisites that venture capitalists use to gauge Unicornness.


Using machine learning to identify cyber campaigns targeting critical infrastructure

#artificialintelligence

Darktrace has created a new business unit, Darktrace Industrial, dedicated to identifying emerging and existing compromises on industrial systems and critical infrastructure networks. Threats to critical infrastructure are garnering worldwide attention. Recently, the U.S. government issued a rare public warning that sophisticated threat-actors are targeting energy and industrial firms. In addition, the European Union Network and Information Security (NIS) Directive introduced security requirements as legal obligations for operators providing essential services including industrial automation control systems and connected devices. Industrial environments, reliant on legacy bespoke systems, face new security challenges such as connected industrial devices, sensors, remote maintenance repair operations, and increasing connectivity to IT environments.


How Is Machine Learning Used in Bitdefender Technologies? - Security Boulevard

#artificialintelligence

The terms "artificial intelligence" and "machine learning" are often used interchangeably, but there's a huge technical difference between them. While the first is used by Hollywood when depicting self-aware machines, the latter is comprised of finely tuned single-task algorithms that are nowhere near self-aware. In cyber security, machine learning algorithms can learn by themselves to make predictions based on previous experience and from daily analysis of millions of malicious programs. Practically, a machine learning algorithm is trained to identify a new or unknown threat based on similarities with known threats. For example, feeding a machine learning algorithm with all known variants of the CryptoLocker ransomware family will give it the ability to estimate whether an unknown sample is statistically likely – based on the features it shares with known CryptoLocker samples – to be part of the same ransomware family.


Apple's New iMac Pro Reportedly Coming With 'Hey Siri' Functionality

International Business Times

The anticipation for Apple's upcoming iMac Pro 2017 has just gotten stronger after developers stumbled upon codes that appear to suggest the presence of the "Hey Siri" functionality in the Cupertino giant's new computer. Over the weekend, developers Guilherme Rambo and Steven Troughton-Smith revealed what they found after some digging into Apple's "BridgeOS 2.0" code and macOS. What's very interesting here is that the chip seems to have support for "Hey Siri" functionality. Seems to handle the macOS boot & security process, as expected; iMac Pro lets Apple experiment with tighter control without the rest of the userbase freaking out," Troughton-Smith wrote on Twitter. As per Apple Insider, this could mean that the ARM coprocessor controls the boot process, security and the FaceTime camera.


Are Banks and Credit Unions Prepared for a New Mobile Era?

@machinelearnbot

The financial services industry must respond to a mobile marketplace that has a new demographic profile, new usage patterns and new expectations around AI, IoT and other digital technologies. After years of strong mobile growth being driven by younger demographic segments, the majority of recent, more modest growth can be attributed to the 55 and older generation. In fact, consumers in the 55 age group have a three-year compound annual growth rate (CAGR) of nearly 8% compared to only 2% for the 18 to 34 segment, according to a study from Deloitte. While the rate of growth in ownership of smartphones has tapered off, exciting technologies are beginning to stimulate the imagination of the mobile consumer, including artificial intelligence (AI), machine learning, virtual reality (VR) and augmented reality (AR), the internet of things (IoT), 5G, and the integration with other non-phone devices (watches, glasses, tablets, etc.). At the end of the day, the banking industry must stay in front of these trends, offering consumers the experience they expect on the platform(s) they prefer.


Artificial intelligence is taking on ransomware

#artificialintelligence

Twice in the space of six weeks, the world has suffered major attacks of ransomware -- malicious software that locks up photos and other files stored on your computer, then demands money to release them. It's clear that the world needs better defenses, and fortunately those are starting to emerge, if slowly and in patchwork fashion. When they arrive, we may have artificial intelligence to thank. Ransomware isn't necessarily trickier or more dangerous than other malware that sneaks onto your computer, but it can be much more aggravating, and at times devastating. Most such infections don't get in your face about taking your digital stuff away from you the way ransomware does, nor do they shake you down for hundreds of dollars or more.


Data-Protection Efforts Must Prepare for New Forms of Attack

@machinelearnbot

Organizations already have plenty to worry about in terms of data protection, but a new type of cyberattack could prove much more damaging and harder to remediate. A destruction of service (DeOS) attack has the potential to destroy the data backups and safety nets organizations rely on to restore their systems and data following an attack, according to Cisco. DeOS attacks are a more dangerous version of distributed denial of service (DDoS), which employs botnets to overload the target organization's servers with traffic until they can no longer handle the extra load. DDoS attacks last hours or days, after which a company can resume normal operations. This is one of the many new security risks that are emerging with the Internet of Things (IoT).


Singapore CIOs believe machine learning can improve speed, security ops

ZDNet

Just 32 percent of organisations in Singapore currently tap machine learning, although 52 percent believe such tools' ability to make complex decisions is imperative to the success of their business. A further 87 percent said greater automation brought about by machine learning would speed up decision-making process, while 80 percent said it would improve accuracy of such decisions, revealed a survey by ServiceNow. Conducted by Oxford Economics, the study polled 500 CIOs across 11 countries, including 91 from three Asia-Pacific markets: Singapore, Australia, and New Zealand. Ten percent of the global sample were from Singapore. ServiceNow touted machine learning as software that analysed and improved its own performance without direct human intervention, enabling it to make increasingly complex decisions as it learned.


17 Experts Tell The Most Exciting IoT Trends to Watch for in 2018 - TechJini

@machinelearnbot

Needless to say, IoT is one of the most talked about technologies in 2017. According to Statista, the global IoT market is forecast to be valued at more than 1.7 trillion U.S. dollars. "What According To You Is The Most Exciting IoT Trend To Watch For In 2018?" I think the most exciting IoT trend to watch out for in 2018 is the use of Blockchain technology to accelerate transactions, ensure trust, and reduce costs. The Internet of Things, (IoT), is such and exciting yet complex ecosystem.


Asia Pacific youth expect Artificial Intelligence to have biggest impact on their future: Microsoft survey - Asia News Center

#artificialintelligence

SINGAPORE, 22 February 2017 -- In our increasingly digital world, new and emerging innovations are set to disrupt the way people live, work and play. According to youth across the Asia Pacific region, the most exciting technologies expected to have the largest impact on their future lives will be artificial intelligence (AI), virtual/mixed/augmented reality (VR/MR/AR), and Internet of Things (IoT), based on survey findings released today by Microsoft. In the Microsoft Asia Digital Future Survey, 1,400 youth were polled across 14 markets across the Asia Pacific region, comprising Australia, China, Hong Kong, India, Indonesia, Japan, Korea, Malaysia, New Zealand, Philippines, Singapore, Taiwan, Thailand and Vietnam. Artificial intelligence (AI) is ranked as the top technology that youth expect to have the biggest impact on their lives. In recent years, the confluence of power devices, cloud and data has enabled bold visions on how AI can be an integrated part of our digital future.