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Tuesday, September 26, 2017
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In the field of information security, sandboxes are used to isolate an insecure external environment from a secure internal environment (or vice versa), to protect against the exploitation of vulnerabilities, and to analyze malicious code.

At Kaspersky Lab, we have several sandboxes, we will look at just one of them that was customized to serve the needs of a specific product and became the basis of Kaspersky Anti Targeted Attack Platform.
Avast's recent acquisition spreads a backdoor signed with its own certificate.

Satoshi Bomb

Let us discuss what defines the profitability of bitcoin mining, what principles for mining speed adaptation were initially embedded into it, and why these principles can lead to the failure of the cryptocurrency in the long run.
Subtle or camouflaged optical hacks can change a stop sign into something else.
In one of our previous articles, we analyzed the NeutrinoPOS banker as an example of a constantly evolving malware family.

A week after publication, this Neutrino modification delivered up a new malicious program classified by Kaspersky Lab as Trojan-Banker.Win32.Jimmy.
In July 2017, during an investigation, suspicious DNS requests were identified in a partnerrsquo;s network.

The source of the queries was a software package produced by NetSarang. Our analysis showed that recent versions of the software had been surreptitiously modified to include an encrypted payload that could be remotely activated by a knowledgeable attacker.
One of the fastest growing and most discussed segments in technology today is artificial intelligence (AI).

The exponential increase in computing power in the last few decades enabled an explosion in machine learning and deep learning development across industries, and compute architectures that start to look and function like a human brain.

To accomplish this, we need three things: large data sets to process and learn from; compute power and neural networks to process those large data sets; and personalization through algorithms that learn and adjust quickly and accordingly.AI will transform the world and will touch almost every industry.
In healthcare, for example, Penn Medicine developed a predictive solution using machine learning and AI approaches to address heart failure. Using a data science detection algorithm, Penn Medicine has said theyrsquo;ve identified ~20 percent more patients in their hospitals who could benefit from heart failure prevention services*.To read this article in full or to leave a comment, please click here
For less high-stakes uses, Send offers reasonable security and privacy assurances.
DAILY VIDEO: Microsoft's courts Hollywood with secure media cloud services; Facebook AI experiment shutdown holds lessons for IT industry; Privacy rights group wants FTC to probe Google tracking algorithm; and there's more.
DAILY VIDEO: Microsoft's courts Hollywood with secure media cloud services; Facebook AI experiment shutdown holds lessons for IT industry; Privacy rights group wants FTC to probe Google tracking algorithm; and there's more.
Today, a dangerous new trend is emerging: steganography is increasingly being used by actors creating malware and cyber-espionage tools. Most modern anti-malware solutions provide little, if any, protection from steganography, while any carrier in which a payload can be secretly carried poses a potential threat.
"Consumers cannot easily avoid Googlersquo;s tracking of their in-store purchase behavior."