Springer Nature A.I CyberSecurity Scoring
21/07/2026
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for Springer Nature in 2026.
No incidents recorded for Springer Nature in 2026.
No incidents recorded for Springer Nature in 2026.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. We invest in talented people and new advanced technologies to unlock the power of data and innovate. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
GLG is the world’s largest insight network. We connect decision makers to the right experts so they can act with the confidence that comes from true clarity and have what it takes to get ahead. Our network of experts is the world’s largest source of first-hand expertise, and we recruit hundreds of new experts every day. We bring the power of insight to every great professional decision. Visit GLGinsights.com. For information regarding GLG’s practices with respect to personal information, please visit our privacy policy at https://glginsights.com/privacy-policy/
CASA is an industry leading association that can provide you with the edge you need to be an effective business owner with a substantial property portfolio and gives you the power to confidently manage your business and structures to enable you, the business owner, to later on become a member of our exclusive business and investment consortiums.
We deliver actionable, objective business and technology insights. Our expert guidance and tools enable faster, smarter decisions and stronger performance on an organization’s mission-critical priorities. Our unrivaled combination of business and technology insights steers clients toward the right decisions on the issues that matter most. As a $6.3 Billion company, with 21,000 associates, and a member of the S&P 500, we are an objective partner with 14,000 client enterprises in 90 countries and territories — across every major function, geography, industry and market sector — and boast 45+ years of experience providing insights and expert guidance to client enterprises worldwide. To learn more about how we guide the leaders who shape the world. visit gartner.com. Gartner, Inc. (NYSE: IT) Community guidelines: https://gtnr.it/3tceMrU C-level Insights of the Week LinkedIn Newsletter: https://gtnr.it/4c56S97
NielsenIQ (NIQ) is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. NIQ combined with GfK in 2023, bringing together the two industry leaders with unparalleled global reach. Today NIQ has operations in 95+ countries representing 97% of the world’s GDP. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™.
Latest updates, reports, and threat intel affecting the global network.
When the COVID-19 pandemic hit in early 2020, it created a bottleneck in scientific publishing. Roughly 30,000 articles on the virus were...
The healthcare cloud ecosystem is getting vulnerable to cyberattacks, zero-day attacks and being plagued by AI-driven attacks,...
Associated Publication: King, C. & Carley, K. M. Promoting Social Corrections: A Media Literacy Intervention for Misinformation on Social...
Food spoilage monitoring has become a critical issue in modern smart supply chains, where safety, transparency, and efficiency are essential.
Keywords: Web Graphs, Search Engine Optimization, SEO, BEND, Information Operations. Publication: Williams, Evan M., Peter Carragher,...
Cryptocurrency exchanges are integral to the digital asset economy; however, their rapid growth has been accompanied by recurrent...
The current study explored the relationship between cybersecurity awareness and protective behaviors among Saudi secondary school students.
An enormous demand for a secure, scalable, intelligent edge computing framework has emerged for the exponentially increasing number of...
People routinely capture photos and videos to document their daily experiences, with such visual media frequently regarded as reliable...
A vulnerability in keras-team/keras version 3.15.0 allows unsafe deserialization of attacker-controlled PyTorch pickle data through the public `keras.layers.TorchModuleWrapper.from_config` method. This method invokes `torch.load(..., weights_only=False)` without requiring an explicit unsafe opt-in, such as a `safe_mode=False` parameter. When called outside a `SafeModeScope(True)` context, the absence of an ambient safe mode state permits unsafe deserialization by default. This issue can lead to arbitrary code execution if untrusted Keras layer configurations are processed using this method. The vulnerability arises because the method does not enforce safe deserialization practices unless explicitly guarded by Keras safe mode.
In the Linux kernel, the following vulnerability has been resolved: iommu/amd: Remove latent out-of-bounds access in IOMMU debugfs In iommu_mmio_write() and iommu_capability_write(), the variables dbg_mmio_offset and dbg_cap_offset are declared as int. However, they are populated using kstrtou32_from_user(). If a user provides a sufficiently large value, it can become a negative integer. Prior to this patch, the AMD IOMMU debugfs implementation was already protected by different mechanisms. 1. #define OFS_IN_SZ 8 ensures the user string <= 8 bytes, so e.g. 0xffffffff isn't a valid input. if (cnt > OFS_IN_SZ) return -EINVAL; 2. Implicit type promotion in iommu_mmio_write(), dbg_mmio_offset is int and iommu->mmio_phys_end is u64 if (dbg_mmio_offset > iommu->mmio_phys_end - sizeof(u64)) return -EINVAL; 3. The show handlers would currently catch the negative number and refuse to perform the read. Replace kstrtou32_from_user() with kstrtos32_from_user() to parse the input, and check for negative values to explicitly prevent out-of-bounds memory accesses directly in iommu_mmio_write() and iommu_capability_write().
In the Linux kernel, the following vulnerability has been resolved: sysfs: don't remove existing directory on update failure When sysfs_update_group() is called for a named group and create_files() fails (e.g. -ENOMEM), internal_create_group() calls kernfs_remove(kn) on the group directory. In the update path, kn was obtained via kernfs_find_and_get() and refers to a directory that already existed before this call. Removing it silently destroys a sysfs group that the caller did not create. Only remove the directory if we created it ourselves. On update failure the directory remains as it is left empty by remove_files() inside create_files(), but can be repopulated by a retry.
In the Linux kernel, the following vulnerability has been resolved: mm/damon/sysfs-schemes: call missing mem_cgroup_iter_break() damon_sysfs_memcg_path_to_id() breaks mem_cgroup_iter() loop without calling mem_cgroup_iter_break(). This leaks the cgroup reference. Fix the issue by calling mem_cgroup_iter_break() before the break. The issue was discovered [1] by Sashiko.
In the Linux kernel, the following vulnerability has been resolved: efi: Allocate runtime workqueue before ACPI init Since commit 5894cf571e14 ("acpi/prmt: Use EFI runtime sandbox to invoke PRM handlers") ACPI PRM calls are delegated to a workqueue which runs in a kernel thread, making it easier to detect and mitigate faulting memory accesses performed by the firmware. Rafael reports that such PRM accesses may occur before efisubsys_init() executes, which is where the workqueue is allocated, leading to NULL pointer dereferences. Since acpi_init() [which triggers the early PRM accesses] executes as a subsys_initcall() as well, and has its own dependencies that may be sensitive to initcall ordering, deferring acpi_init() is not an option. So instead, split off the workqueue allocation into its own postcore initcall, as this is the only missing piece to allow EFI runtime calls to be made. This ensures that EFI runtime call (including PRM calls) are accessible to all code running at subsys_initcall() level.
curl -i -X GET 'https://api.rankiteo.com/underwriter-getcompany-history?
linkedin_id=axa' -H 'apikey: YOUR_API_KEY_HERE'
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