Dubbed the SSD Insider++ technology, the new security solution can be integrated into SSDs at the hardware level. So, the ransomware prevention feature will be built right into the SSD drives and will automatically detect unusual encryption activities that are not user-triggered. Now, getting into some technical details, the SSD Insider++ technology uses the inherent writing and deletion mechanisms in NAND flash to perform its task of preventing ransomware attacks. It leverages the SSD controller to continuously monitor the activity of the storage drive. The system triggers when any encryption workload is detected that is not initiated by the authorized user. In that case, the firmware prevents the SSD to take any write requests, which in turn suspends the encryption process. The system then notifies the user about abnormal encryption activities via its companion app. The app also allows users to recover any data that was encrypted before the system stopped ongoing the process.
Graph databases are a type of “Not only SQL” (NoSQL) data store. They are designed to store and retrieve data in a graph structure. The storage mechanism used can vary from database to database. Some GDBs may use more traditional database constructs, such as table-based, and then have a graph API layer on top. Others will be ‘native’ GDBs – where the whole construct of the database from storage, management and query maintains the graph structure of the data. Many of the graph databases currently available do this by treating relationships between entities as first class citizens. There are broadly two types of GDB, Resource Descriptive Framework (RDF)/triple stores/semantic graph databases, and property graph databases. An RDF GDB uses the concept of a triple, which is a statement composed of three elements: subject-predicate-object. Subject will be a resource or nodes in the graph, object will be another node or literal value, and predicate represents the relationship between subject and object.
An attacker exploiting the weakness could execute malicious commands on other users' containers, steal customer secrets and images deployed to the platform. The Windows maker did not share any additional specifics related to the flaw, save that affected customers "revoke any privileged credentials that were deployed to the platform before August 31, 2021." Azure Container Instances is a managed service that allows users to run Docker containers directly in a serverless cloud environment, without requiring the use of virtual machines, clusters, or orchestrators. ... "This discovery highlights the need for cloud users to take a 'defense-in-depth' approach to securing their cloud infrastructure that includes continuous monitoring for threats — inside and outside the cloud platform," Unit 42 researchers Ariel Zelivanky and Yuval Avrahami said. "Discovery of Azurescape also underscores the need for cloud service providers to provide adequate access for outside researchers to study their environments, searching for unknown threats."
The low explainability of ML-driven models for credit risk remains, perhaps, their greatest drawback. A visual inspection of, say, a random forest is impossible, and although there are some tools (like feature importance) that provide information about the inner workings of this type of model, ML model logic is significantly more complicated than that of a traditional logistic regression approach. However, we’re increasingly seeing “middle-of-the-road” solutions that incorporate ML-engineered features within an easier-to-explain logistic regression model. Under this approach, ML is used to select highly-predictive features (for, say, probability of default), which are then integrated with the so-called “logit” model. This hybrid model would include both original and ML-engineered features, and an automated algorithm would select the features for forecasting PD. Performance-driven features can be added to this model through Sequential Forward Selection (SFS), one of the most widely-used algorithms for feature selection.
As we have established, DevOps engineers are not babysitters. They are highly qualified and talented engineers who thrive by building new and innovative technologies. The grunt work of cloud management, therefore, is often seen as an obstacle to DevOps productivity as it requires constant monitoring, configuration and adjustments. It doesn’t help that much of this work is impossible to do 100% effectively. Thankfully, there is a better way. AI automation is perfectly suited to handle repetitive, routine tasks such as analyzing real-time data, predicting future scale, adjusting infrastructure to accommodate changes in requirements and more. Plus, it can do all of this with perfect accuracy. DevOps teams cannot be as productive as they want if they are constantly putting out fires in their cloud infrastructure. By automating the tasks they don’t like doing anyway, your cloud stays fully optimized while your DevOps engineers are able to work more efficiently on what they enjoy most.
Above all, payment security is the main priority for consumers when it comes to payments. Digital payment solutions need to be transparent and compliant with regulations. As the cryptocurrency industry is growing, governments are taking note and implement stricter regulations. Those regulations in turn demand higher degrees of compliance and possibly license requirements. SMEs will want to avoid the inherent volatility risk of cryptocurrencies. With the right technology, this is also possible: the purchase amount paid is credited to the merchant in fiat currency as usual, even if the customer pays using cryptocurrency — unless, of course, the merchant prefers to keep the purchase amount as cryptocurrency. In some countries, such as Germany, regulators have introduced specific legislation to oversee cryptocurrency custodians. As such, to date, the lack of regulated and supervised custody solutions has been a barrier to entry for SMEs accepting digital asset payments. Confusion on who to choose as the right partner has been common and a huge concern for regulatory-compliant institutions.
It can be difficult to get the board's full attention, especially if cybersecurity is seen purely as an outgoing with little benefit to the bottom line. The best way to address this is to explain, in plain language, the potential threats out there. It could even be a good idea for a CISO to run an exercise to demonstrate the potential impact of a cyber incident. This shouldn't be over-dramatised, but presenting the board with an exercise based around a real-life ransomware incident, for example, and explaining how a similar attack could affect the company could open a few eyes, showing what measures need to be taken. This could then lead to extra budget being released. "One of the best ways to get their attention is to conduct a very thoughtful ransomware exercise. Pick something very realistic and allow your executive team to walk through the decision-making process," says Theresa Payton, CEO of Fortalice Solutions and former chief information officer (CIO) at The White House.
Companies able to pivot attention to the quality of insights, not just the quantity of data collected, are starting to reap the rewards of data-driven business. A prominent oil and gas company that spent more than five years trying to wrangle traditional analytics solutions to get insights on common metrics like on-time and full deliveries or days payable outstanding (DPO) was able to move beyond forensic insights to predictive analysis. Specifically, it was able to achieve a greater than 40% reduction in inventory on-hand carrying costs by linking inventory use data with actual planning parameters using the tools of a context-rich data model. Similarly, a major manufacturer was able to improve its on-time delivery metrics from the low 80th percentile to the mid-90th percentile by connecting the dots between production capabilities and shipment results, and making the necessary adjustments based on the insights. In the retail space, companies could categorize the effective window for seasonal or perishable goods—each with limited shelf life—to dramatically reduce obsolete inventory.
We’re also seeing overreach and wildly sporadic regulatory moves from non-governing bodies, (e.g. the SEC’s random targeting of Coinbase’s P2P lending product), who are scrambling to make sense of this technology while concurrently falling behind even some of the smallest nation-states on earth. Even more, interestingly, the provision was challenged by a coalition from both the left and right of the House. Crypto is not a political movement as Jackson Palmer, one of the creators of Dogecoin, had recently accused it of being. It is a societal movement. It comes as no surprise that Cynthia Lummis, Wyoming’s Senator, was the driving force behind killing the bill. Wyoming has been incredibly supportive of crypto for years now. It was the first state to have a crypto bank and the first to legally recognise a Decentralised Autonomous Organisation, a business that uses blockchain to govern itself without the intervention of a central authority.So too was Ted Cruz, the Republican Senator for Texas.
"This vulnerability has the potential to have a wide-spread impact, but fortunately, there are plenty of ways to mitigate the risk posed by this HAProxy vulnerability, and many users most likely have already taken the necessary steps to protect themselves," Bar-Dayan told ZDNet. "CVE-2021-40346 is mitigated if HAProxy has been updated to one of the latest four versions of the software. Like with most vulnerabilities, CVE-2021-40346 can't be exploited without severe user negligence. The HAProxy team has been responsible in their handling of the bug. Most likely, the institutional cloud and application services that use HAProxy in their stack have either applied upgrades or made the requisite configuration changes by now. Now it is up to all HAProxy users to run an effective vulnerability remediation program to protect their businesses from this very real threat." Michael Isbitski, the technical evangelist at Salt Security, added that HAProxy is a multi-purpose, software-based infrastructure component that can fulfill a number of networking functions, including load balancer, delivery controller, SSL/TLS termination, web server, proxy server and API mediator.
Quote for the day:
"Leadership is practices not so much in words as in attitude and in actions." -- Harold Geneen