Microsoft is using engineers in China to help maintain the Defense Department’s computer systems—with minimal supervision by U.S. personnel—leaving some of the nation’s most sensitive data vulnerable to hacking from its leading cyber adversary, a ProPublica investigation has found.

The arrangement, which was critical to Microsoft winning the federal government’s cloud computing business a decade ago, relies on U.S. citizens with security clearances to oversee the work and serve as a barrier against espionage and sabotage...

1. Public companies must “disclose any cybersecurity incident they determine to be material” within four days, with potential delays if there is a national security risk.
2. Public companies must “describe their processes, if any, for assessing, identifying, and managing material risks from cybersecurity threats” in their annual filings.

The rules go into effect this December.

In an email newsletter, Melissa Hathaway wrote:...

Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.

The press coverage has been extensive, and surprising to me. The New York Times headline is “A.I. Poses ‘Risk of Extinction,’ Industry Leaders Warn.” BBC: “Artificial intelligence could lead to extinction, experts warn.” Other headlines are similar.

I actually don’t think that AI poses a risk to human extinction. I think it poses a similar risk to pandemics and nuclear war—which is to say, a risk worth taking seriously, but not something to panic over. Which is what I thought the statement said...

The question we should be asking is: as A.I. becomes more powerful and flexible, is there any way to keep it from being another version of McKinsey? The question is worth considering across different meanings of the term “A.I.” If you think of A.I. as a broad set of technologies being marketed to companies to help them cut their costs, the question becomes: how do we keep those technologies from working as “capital’s willing executioners”? Alternatively, if you imagine A.I. as a semi-autonomous software program that solves problems that humans ask it to solve, the question is then: how do we prevent that software from assisting corporations in ways that make people’s lives worse? Suppose you’ve built a semi-autonomous A.I. that’s entirely obedient to humans­—one that repeatedly checks to make sure it hasn’t misinterpreted the instructions it has received. This is the dream of many A.I. researchers. Yet such software could easily still cause as much harm as McKinsey has...

Imagine you’re using an AI chatbot to plan a vacation. Did it suggest a particular resort because it knows your preferences, or because the company is getting a kickback from the hotel chain? Later, when you’re using another AI chatbot to learn about a complex economic issue, is the chatbot reflecting your politics or the politics of the company that trained it?...

Jim Dempsey, one of the workshop organizers, wrote a blog post on the report:

As a first step, our report recommends the inclusion of AI security concerns within the cybersecurity programs of developers and users. The understanding of how to secure AI systems, we concluded, lags far behind their widespread adoption. Many AI products are deployed without institutions fully understanding the security risks they pose. Organizations building or deploying AI models should incorporate AI concerns into their cybersecurity functions using a risk management framework that addresses security throughout the AI system life cycle. It will be necessary to grapple with the ways in which AI vulnerabilities are different from traditional cybersecurity bugs, but the starting point is to assume that AI security is a subset of cybersecurity and to begin applying vulnerability management practices to AI-based features. (Andy Grotto and I have vigorously argued ...

In A Hacker’s Mind (coming in February 2023), I write:

Our societal systems, in general, may have grown fairer and more just over the centuries, but progress isn’t linear or equitable. The trajectory may appear to be upwards when viewed in hindsight, but from a more granular point of view there are a lot of ups and downs. It’s a “noisy” process.

Technology changes the amplitude of the noise. Those near-term ups and downs are getting more severe. And while that might not affect the long-term trajectories, they drastically affect all of us living in the short term. This is how the twentieth century could—statistically—both be the most peaceful in human history and also contain the most deadly wars...

Abstract: We investigate a new threat to neural sequence-to-sequence (seq2seq) models: training-time attacks that cause models to “spin” their outputs so as to support an adversary-chosen sentiment or point of view—but only when the input contains adversary-chosen trigger words. For example, a spinned summarization model outputs positive summaries of any text that mentions the name of some individual or organization...

Any computer brings with it the risk of hacking. This is true of our computers and phones, and it’s also true about all of the Internet-of-Things devices that are increasingly part of our lives. These large and small appliances, cars, medical devices, toys and — yes — exercise machines are all computers at their core, and they’re all just as vulnerable. Presidents face special risks when it comes to the IoT, but Biden has the NSA to help him handle them...

Dutch police have arrested two individuals on Friday for allegedly selling data from the Dutch health ministry’s COVID-19 systems on the criminal underground.

[…]

According to Verlaan, the two suspects worked in DDG call centers, where they had access to official Dutch government COVID-19 systems and databases.

They were working from home:

“Because people are working from home, they can easily take photos of their screens. This is one of the issues when your administrative staff is working from home,” Victor Gevers, Chair of the Dutch Institute for Vulnerability Disclosure, told ZDNet in an interview today. ...

The next administration and Congress cannot simultaneously address the wide array of cybersecurity risks confronting modern society. Policymakers in the White House, federal agencies, and Congress should zero in on the most important and solvable problems. To that end, this report covers five priority areas where we believe cybersecurity policymakers should focus their attention and resources as they contend with a presidential transition, a new Congress, and massive staff turnover across our nation’s capital...

From a summary:

Such risk extends beyond anti-hacking laws, implicating copyright law and anti-circumvention provisions (DMCA §1201), electronic privacy law (ECPA), and cryptography export controls, as well as broader legal areas such as contract and trade secret law.

Our Guide gives the most comprehensive presentation to date of this landscape of legal risks, with an eye to both legal and technical nuance. Aimed at researchers, the public, and technology lawyers alike, its aims both to provide pragmatic guidance to those navigating today’s uncertain legal landscape, and to provoke public debate towards future reform...

Abstract: Risk-based Authentication (RBA) is an adaptive security measure to strengthen password-based authentication. RBA monitors additional features during login, and when observed feature values differ significantly from previously seen ones, users have to provide additional authentication factors such as a verification code. RBA has the potential to offer more usable authentication, but the usability and the security perceptions of RBA are not studied well...