Artificial intelligence (AI) is almost an omnipresent topic these days. It is the centerpiece of sales pitches, it “powers” various online services and is mentioned in regard to almost any new product seeking investors.
An American artificial intelligence company claims to have "cracked" CAPTCHAs - the standard word tests used to tell humans and computers apart online. A program designed by Vicarious can break standard CAPTCHAs with 90% accuracy, Vicarious claims.
All things labeled Artificial Intelligence (AI) or Machine Learning (ML) are making waves, but talk of them in cybersecurity contexts often muddies the waters. A new ESET white paper sets out to bring some clarity to a subject where confusion often reigns supreme
Researchers from MIT’s CSAIL have developed an artificial intelligence platform that can ‘predict 85% of cyberattacks’ so long as it benefits from human input.
A trifecta of issues impact the organization’s cyber-resilience and conspire to put it in the firing line of cyberattacks
What are some of the most interesting takeaways from Verizon’s latest annual security report?
As the use of this technology grows so does the risk that attackers may hijack it
While the idea of artificial intelligence (AI) and the real applications of machine learning (ML) have been influencing various fields for years now, their full transformative potential is yet to be realized. ML-based technologies increasingly help fight large-scale fraud, evaluate and optimize business processes, improve testing procedures and develop new solutions to existing problems. Like
Heralded as the answer to many cybersecurity issues, machine learning hasn’t always delivered
Today, we continue with our series of conversations with ESET’s security pros to hear what they have to say about the evolution of the World Wide Web since it was publicly announced 27 years ago
What has the journey of the World Wide Web been like so far, as seen and experienced by ESET’s security folk? ESET Senior Research Fellow David Harley provides his take in the first installment of our series of interviews marking the Web’s 27th birthday
Use of software by law enforcement as a surveillance tool is a real concern for groups
The experts urge policy-makers to work closely with technical researchers, computer scientists and the cybersecurity community to investigate, understand and prepare for possible malicious uses of AI.
The new age of technology and legislation brings safety concerns for your personal data
One side effect of slower than expected uptake of VR is that virtual reality application developers have been slow to invest in creating content. In this sort of chicken-and-egg cycle, growth tends to be slow, not explosive.
To help the reader navigate through the maze of such threats, ESET’s thought leaders have zeroed in on several areas that top the priority list in our exercise in looking forward.
Unless companies processing citizens’ personal data fully understand the reasoning behind the decisions made based on their machine-learning models, they will find themselves between a rock and a hard place.
At present, virtual assistants are a long way from the image depicted in Blade Runner 2049. However, we are seeing companies take major steps in this direction. We have Siri, Cortana, and Alexa, to name but a few.
By the 1800s, long before the famous Enigma machine and military computerization to decipher codes, a Victorian woman trapped in a patriarchal world, glimpsed the potential reach of computing and the change it would impose on humanity.
Machine learning (ML) in eight blogposts!? In our last post, let’s take a peek under the hood of ESET’s cybersecurity engine and its ML gears.
