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Comparison Overview

Texas Hearing InstituteTexas Hearing Institute
VS
Dr. Sulaiman Al Habib Medical GroupDr. Sulaiman Al Habib Medical Group
Texas Hearing Institute

Texas Hearing Institute

3100 Shenandoah St, Houston, 77021, US

Last Update: 30/06/2026

View Profile
Between 650 and 699
http://www.texashearing.org
664/1000Weak

Texas Hearing Institute, formerly known as The Center for Hearing and Speech, is the most comprehensive resource for pediatric hearing loss in Texas and the only facility in the region to offer audiology, speech pathology, and spoken language education under one roof. ...

NAICS:62
NAICS Definition:Health Care and Social Assistance
Employees:72
Subsidiaries:0
12-month incidents
1
Known data breaches
0
Attack type number
1
Dr. Sulaiman Al Habib Medical Group

Dr. Sulaiman Al Habib Medical Group

King Fahad Road - Olaya - Riyadh, Riyadh, 11643, SA

Last Update: 12/07/2026

View Profile
803/1000Good

Leading Private Healthcare Provider in the Middle East With a vision to be the most trusted healthcare provider in medical excellence and patient experience globally, Dr. Sulaiman Al-Habib Medical Group (HMG) has become the largest provider of comprehensive healthcare ...

NAICS:62
NAICS Definition:Health Care and Social Assistance
Employees:12,632
Subsidiaries:0
12-month incidents
0
Known data breaches
0
Attack type number
0

Compliance Ranges Comparison

Based On Specific Ai Models Category
Texas Hearing Institute

Texas Hearing Institute

-
ISO 27001Not verified
ISO 27001
-
SOC2 Type 1Not verified
SOC2 Type 1
-
SOC2 Type 2Not verified
SOC2 Type 2
-
GDPRNot verified
GDPR
-
PCI DSSNot verified
PCI DSS
-
HIPAANot verified
HIPAA
Dr. Sulaiman Al Habib Medical Group

Dr. Sulaiman Al Habib Medical Group

-
ISO 27001Not verified
ISO 27001
-
SOC2 Type 1Not verified
SOC2 Type 1
-
SOC2 Type 2Not verified
SOC2 Type 2
-
GDPRNot verified
GDPR
-
PCI DSSNot verified
PCI DSS
-
HIPAANot verified
HIPAA

Benchmark & Cyber Underwriting Signals

Incidents vs Hospitals and Health Care Industry Avg (This Year)

Texas Hearing Institute has 29.08% fewer incidents than the average of same-industry companies with at least one recorded incident.

Incidents

Incidents vs Hospitals and Health Care Industry Avg (This Year)

No incidents recorded for Dr. Sulaiman Al Habib Medical Group in 2026.

Incidents

Incident History - Texas Hearing Institute (X = Date, Y = Severity)

Texas Hearing Institute cyber incidents detection timeline including parent company and subsidiaries.

R - Ransomware
C - Cyber Attack
D - Data Breach
V - Vulnerability

Incident History - Dr. Sulaiman Al Habib Medical Group (X = Date, Y = Severity)

Dr. Sulaiman Al Habib Medical Group cyber incidents detection timeline including parent company and subsidiaries.

No timeline data available
R - Ransomware
C - Cyber Attack
D - Data Breach
V - Vulnerability

Notable Incidents

Last Cyber / HR Incidents / Global...
Texas Hearing Institute

Texas Hearing Institute

Incidents
🔒 Incident : Ransomware
TEX1782830481
Dr. Sulaiman Al Habib Medical Group

Dr. Sulaiman Al Habib Medical Group

Incidents
No explicit notable incidents reported.

FAQ

Between Texas Hearing Institute company and Dr. Sulaiman Al Habib Medical Group company, which one has the best AI Cybersecurity Score ?
Between Texas Hearing Institute company and Dr. Sulaiman Al Habib Medical Group company, which one has experienced more cyber incidents in the past ?
Between Texas Hearing Institute company and Dr. Sulaiman Al Habib Medical Group company, which one has experienced more cyber incidents this year ?
Between Texas Hearing Institute company and Dr. Sulaiman Al Habib Medical Group company, which one has experienced at least one ransomware attack ?
Between Texas Hearing Institute company and Dr. Sulaiman Al Habib Medical Group company, which one has experienced at least one data breach ?
Between Texas Hearing Institute company and Dr. Sulaiman Al Habib Medical Group company, which one has experienced at least one targeted cyberattack ?
Between Texas Hearing Institute company and Dr. Sulaiman Al Habib Medical Group company, which one has experienced at least one vulnerability ?
Between Texas Hearing Institute company and Dr. Sulaiman Al Habib Medical Group company, which one holds the most compliance certifications ?
Between Texas Hearing Institute company and Dr. Sulaiman Al Habib Medical Group company, which one holds the fewest compliance certifications ?
Between Texas Hearing Institute company and Dr. Sulaiman Al Habib Medical Group company, which one has the most subsidiaries ?
Between Texas Hearing Institute company and Dr. Sulaiman Al Habib Medical Group company, which one has the largest number of employees ?
Between Texas Hearing Institute and Dr. Sulaiman Al Habib Medical Group, which company holds both SOC 2 Type 1 certifications ?
Between Texas Hearing Institute and Dr. Sulaiman Al Habib Medical Group, which company holds both SOC 2 Type 2 certifications ?
Which company is ISO 27001 certified - Texas Hearing Institute or Dr. Sulaiman Al Habib Medical Group ?
Which company is PCI DSS compliant - Texas Hearing Institute or Dr. Sulaiman Al Habib Medical Group ?
Between Texas Hearing Institute and Dr. Sulaiman Al Habib Medical Group, which company complies with HIPAA regulations for healthcare data ?
Between Texas Hearing Institute and Dr. Sulaiman Al Habib Medical Group, which company complies with GDPR requirements ?

Latest Global CVEs

CVE-2026-12484
SUMMARY

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.

PUBLISHED
Date2026-07-19
UPDATED
Date2026-07-19
RISK INFORMATION (Score: 7.8)
CVSS3
Base Score: 7.8
Complexity: LOW
CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
IMPACT SCORE
5.9
EXPLOITABILITY
1.8
CVE-2026-64186
SUMMARY

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().

PUBLISHED
Date2026-07-19
UPDATED
Date2026-07-19
IMPACT SCORE
NA
EXPLOITABILITY
NA
CVE-2026-64185
SUMMARY

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.

PUBLISHED
Date2026-07-19
UPDATED
Date2026-07-19
IMPACT SCORE
NA
EXPLOITABILITY
NA
CVE-2026-64184
SUMMARY

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.

PUBLISHED
Date2026-07-19
UPDATED
Date2026-07-19
IMPACT SCORE
NA
EXPLOITABILITY
NA
CVE-2026-64183
SUMMARY

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.

PUBLISHED
Date2026-07-19
UPDATED
Date2026-07-19
IMPACT SCORE
NA
EXPLOITABILITY
NA