ALH A.I CyberSecurity Scoring
01/04/2026
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for Air Liquide Healthcare in 2026.
No incidents recorded for Air Liquide Healthcare in 2026.
No incidents recorded for Air Liquide Healthcare in 2026.
Latest updates, reports, and threat intel affecting the global network.
María Jesús Salido speaks with David Contreras-Loya about bringing a value-based diabetes care model to Mexico, leveraging tech and...
The Global Medical Gas Market is projected to grow from US$ 14.41 billion in 2024 to US$ 28.61 billion by 2033, with a CAGR of 7.92%.
Air Liquide's AI strategy will dominate by integrating operational intelligence and enabling AI hardware growth through critical gas supply.
Air Liquide today announces that it is both raising and extending its margin ambition, now targeting an increase of +200 basis points for the period 2025-2026.
Take part in the discussion and meet your peers from all across Europe at the Healthcare 2030 Roadmap on December 12th, in Brussels.
French industrial gases company Air Liquide has inaugurated a new air separation unit (ASU) in India. Serving the healthcare industry...
Air Liquide India has announced that a new manufacturing unit would be set up in Mathura in Uttar Pradesh with an investment of Rs 350 crores.
Air Liquide SA (AIQUY) recently announced a dividend of $0.68 per share, payable on June 14, 2024, with the ex-dividend date set for May 16,...
We are potentially encroaching on a water supply crisis if data center operators, utilities, and the government don't implement preventative...
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'
Every week, Rankiteo analyzes billions of signals to give organizations a sharper, faster view of emerging risks. With deeper, more actionable intelligence at their fingertips, security teams can outpace threat actors, respond instantly to Zero-Day attacks, and dramatically shrink their risk exposure window.
Rankiteo is a unified scoring and risk platform that analyzes billions of signals weekly to help organizations gain faster, more actionable insights into emerging threats. Empowering teams to outpace adversaries and reduce exposure.