Collaborating Authors


Exclusive Talk with Toby Lewis, Global Head of Threat Analysis at Darktrace


Toby: My role here at Darktrace is the Global Head of Threat Analysis. My day-to-day job involves looking at the 100 or so cybersecurity analysts we have spread from New Zealand to Singapore, the UK, and most major time zones in the US. My main role is to evaluate how we can use the Darktrace platform to work with our customers. How can we ensure that our customers get the most out of our cybersecurity expertise and support when using AI to secure their network? The other half of my role at Darktrace is subject matter expertise. This role involves talking to reporters like yourself or our customers who want to hear more about what Darktrace can do to help them from a cybersecurity perspective, discussing the context of current events. That part of my role was born out of a nearly 20-year career in cybersecurity. I first started in government and was one of the founding members of the National Cybersecurity Center here in the UK.

Stop Ransomware with AI, says Darktrace - Cybersecurity Insiders


Darktrace, a cybersecurity firm from Britain, has made an official statement that one of its customers successfully blocked the invasion of Babuk ransomware onto their network by using the company's Automated Response technology, titled Antigena. Antigena is a self learning tech-form that knows how to detect, respond and investigate cyber attacks. And as it is fairly backed by Artificial Intelligence (AI), it can also block emerging cyber threats in real-time. Ransomware threat has become a headache to most CIOs and CTOs of corporate companies. DarkTrace AI can detect any abnormalities in a network by scanning out performance issues and unusual connection requests and alert the admin about any possibilities of malware intrusion.

Technology Ethics in Action: Critical and Interdisciplinary Perspectives Artificial Intelligence

This special issue interrogates the meaning and impacts of "tech ethics": the embedding of ethics into digital technology research, development, use, and governance. In response to concerns about the social harms associated with digital technologies, many individuals and institutions have articulated the need for a greater emphasis on ethics in digital technology. Yet as more groups embrace the concept of ethics, critical discourses have emerged questioning whose ethics are being centered, whether "ethics" is the appropriate frame for improving technology, and what it means to develop "ethical" technology in practice. This interdisciplinary issue takes up these questions, interrogating the relationships among ethics, technology, and society in action. This special issue engages with the normative and contested notions of ethics itself, how ethics has been integrated with technology across domains, and potential paths forward to support more just and egalitarian technology. Rather than starting from philosophical theories, the authors in this issue orient their articles around the real-world discourses and impacts of tech ethics--i.e., tech ethics in action.

Simulation Tech Can Help Predict the Biggest Threats


The character of conflict between nations has fundamentally changed. Governments and militaries now fight on our behalf in the "gray zone," where the boundaries between peace and war are blurred. They must navigate a complex web of ambiguous and deeply interconnected challenges, ranging from political destabilization and disinformation campaigns to cyberattacks, assassinations, proxy operations, election meddling, or perhaps even human-made pandemics. Add to this list the existential threat of climate change (and its geopolitical ramifications) and it is clear that the description of what now constitutes a national security issue has broadened, each crisis straining or degrading the fabric of national resilience. Traditional analysis tools are poorly equipped to predict and respond to these blurred and intertwined threats.

Systems Challenges for Trustworthy Embodied Systems Artificial Intelligence

A new generation of increasingly autonomous and self-learning systems, which we call embodied systems, is about to be developed. When deploying these systems into a real-life context we face various engineering challenges, as it is crucial to coordinate the behavior of embodied systems in a beneficial manner, ensure their compatibility with our human-centered social values, and design verifiably safe and reliable human-machine interaction. We are arguing that raditional systems engineering is coming to a climacteric from embedded to embodied systems, and with assuring the trustworthiness of dynamic federations of situationally aware, intent-driven, explorative, ever-evolving, largely non-predictable, and increasingly autonomous embodied systems in uncertain, complex, and unpredictable real-world contexts. We are also identifying a number of urgent systems challenges for trustworthy embodied systems, including robust and human-centric AI, cognitive architectures, uncertainty quantification, trustworthy self-integration, and continual analysis and assurance.

Forecasting: theory and practice Machine Learning

Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks and maximise utilities. The large number of forecasting applications calls for a diverse set of forecasting methods to tackle real-life challenges. This article provides a non-systematic review of the theory and the practice of forecasting. We provide an overview of a wide range of theoretical, state-of-the-art models, methods, principles, and approaches to prepare, produce, organise, and evaluate forecasts. We then demonstrate how such theoretical concepts are applied in a variety of real-life contexts. We do not claim that this review is an exhaustive list of methods and applications. However, we wish that our encyclopedic presentation will offer a point of reference for the rich work that has been undertaken over the last decades, with some key insights for the future of forecasting theory and practice. Given its encyclopedic nature, the intended mode of reading is non-linear. We offer cross-references to allow the readers to navigate through the various topics. We complement the theoretical concepts and applications covered by large lists of free or open-source software implementations and publicly-available databases.

Will Artificial Intelligence Help or Hurt Cyber Defense?


A few months ago, I asked the question: "Are Bots and Robots the Answer to Worker Shortages?" Here are a few more from recent months: "Record Number of Robots Sold to Help Fill Jobs" "The labor shortage triggered by COVID-19 has been a boon to robot sales as businesses scramble to fill jobs amid increasing consumer demands for goods and services post-pandemic. "Orders for robotics January through October reached 29,000 units for a record $1.48 billion compared to last year's $1.09 billion, topping 2017's record for the same time period of $1.47 billion, the Association for Advancing Automation (A3) said in a press release." International Business Times: "Robots Filling Vacant Jobs Amid Ongoing'Great Resignation'" "The U.S. is struggling with a labor shortage that is hobbling its economic recovery, but companies are not sitting still as they work to keep production up and running.

Mitigating Emerging Cyber Security Threats Using Artificial Intelligence


Last week, I taught a cybersecurity course at the University of Oxford case. I felt that this is significant because typically the problem domain of AI and cybersecurity is mostly an Anomaly detection or a Signature detection problem. Also, most of the times, cybersecurity professionals use specific tools such as splunk or darktrace(which we cover in our course) – but these threats and their mitigations are very new. Hence, they need exploring from first principles/research. Thus, we can cover newer threats such as adversarial attacks(making modifications to input data to force machine-learning algorithms to behave in ways they're not supposed to).

The UK's new £50 note celebrates Alan Turing with lots of geeky Easter eggs


The Bank of England has revealed the design for the UK's new £50 note featuring computer scientist and codebreaker Alan Turing. Turing was selected to appear on the note in July 2019 in recognition of his groundbreaking work in mathematics and computer science, as well as his role in cracking the Enigma code used by Germany in World War II. The polymer note will enter circulation from June 23 this year, and incorporates a number of designs linked to Turing's life and legacy. These include technical drawings for the bombe, a decryption device used during WWII; a string of ticker tape with Turing's birthday rendered in binary (23 June 1912); a green and gold security foil resembling a microchip; and a table and mathematical formulae taken from one of Turing's most famous papers. As well as honoring his scientific achievements, Turing was also selected to appear on the bank note in recognition of his persecution by the UK government for homosexuality.

Insurers 'funding organised crime' by paying ransomware claims

The Guardian

Insurers are inadvertently funding organised crime by paying out claims from companies who have paid ransoms to regain access to data and systems after a hacking attack, Britain's former top cybersecurity official has warned. Ciaran Martin, who ran the National Cyber Security Centre until last August, said he feared that so-called ransomware was "close to getting out of control" and that there was a risk that NHS systems could be hit during the pandemic. The problem, he said, is being fuelled because there is no legal barrier to companies paying ransoms to cyber gangs – typically from Russia and some other former Soviet states – and claiming back on insurance. "People are paying bitcoin to criminals and claiming back cash," Martin said. "I see this as so avoidable. At the moment, companies have incentives to pay ransoms to make sure this all goes away," the former intelligence chief said.