There is no easy fix to AI privacy problems
Artificial intelligence – more specifically, the machine learning (ML) subset of AI – has a number of privacy problems. Not only does ML require vast amounts of data for the training process, but the derived system is also provided with access to even greater volumes of data as part of the inference processing while in…
AI development has major security, privacy and ethical blind spots
Security, privacy and ethics are low-priority issues for developers when modeling their machine learning solutions, according to O’Reilly. Major issues Security is the most serious blind spot. Nearly three-quarters (73 per cent) of respondents indicated they don’t check for security vulnerabilities during model building. More than half (59 per cent) of organizations also don’t consider…
From SmarterChild to Siri: Why AI is the competitive advantage securing businesses
The dream of an AI-influenced world is finally here. After decades of writing about it, AI has reached a point where it’s ingrained into our daily lives. From the days of SmarterChild – for many, the AIM messenger bot was the first foray into AI – to now the ubiquitous presence of the AI-enabled digital…
AI vs. AI: Cybersecurity battle royale
David and Goliath. The Invasion of Normandy. No matter the generation, we all know some of the storied battles that have withstood the test of time. In cyberspace, however, there’s a fierce battle brewing surrounding artificial intelligence. With AI projected to become a $190 billion industry by 2025 (according to Markets and Markets), it is…
How can attackers abuse artificial intelligence?
But a new report published by the SHERPA consortium – an EU project studying the impact of AI on ethics and human rights – finds that while human attackers have access to machine learning techniques, they currently focus most of their efforts on manipulating existing AI systems for malicious purposes instead of creating new attacks…
Beating biometrics: Why biometric authentication alone is not a panacea
As we witness the accelerating use of biometrics throughout our lives, we must pause to consider the risks and ramifications of doing so as technological advancements make it increasingly easy to mimic, manipulate and manufacture biometry. As the world becomes more reliant on biometric authentication, it’s vital that we understand how it’s being threatened, what…
While data enables innovation, its vulnerability continues to cause anxiety among IT leaders
Today’s technology landscape demands that companies determine how to manage and secure data in a connected ecosystem, as well as embrace it to create competitive advantages. The key concerns for IT decision-makers in this environment are cybersecurity, the ability to upgrade infrastructure and optimizing IT operations, according to the 2019 Insight Intelligent Technology Index, an…
Legacy infrastructures and unmanaged devices top security risks in the healthcare industry
The proliferation of healthcare IoT devices, along with unpartitioned networks, insufficient access controls and the reliance on legacy systems, has exposed a vulnerable attack surface that can be exploited by cybercriminals determined to steal personally identifiable information (PII) and protected health information (PHI), in addition to disrupting healthcare delivery processes. Published in the Vectra 2019…
Organizations investing in security analytics and machine learning to tackle cyberthreats
IT security’s greatest inhibitor to success is contending with too much security data. To address this challenge, 47 percent of IT security professionals acknowledged their organization’s intent to acquire advanced security analytics solutions that incorporate machine learning (ML) technology within the next 12 months. Such investments help to mitigate the risks of advanced cyberthreats missed…
Detecting Trojan attacks against deep neural networks
A group of researchers with CSIRO’s Data61, the digital innovation arm of Australia’s national science agency, have been working on a system for run time detection of trojan attacks on deep neural network models. Although it has yet to be tested in the text and voice domain, their system is highly effective when it comes…