Comparison Overview

Arnlea Systems

VS

Amazon Fulfillment Technologies & Robotics

Arnlea Systems

Johnstone House, Aberdeen, undefined, AB10 1UD, GB
Last Update: 2025-05-06 (UTC)
Between 800 and 900

Strong

We are the global leader in industrial mobile software products for tracking, inspection and maintenance to the Oil & Gas industry. We develop and deliver mobile technology solutions via Nexar, our industrial mobile software, in materials management, inspections, and maintenance areas. Nexar utilises the latest handheld, fixed reader, RFID and barcode technology and integrates seamlessly within our customerโ€™s corporate systems. Nexar simplifies the receipt, management and relocation of inventory, the visibility and traceability of equipment in logistics activities and the history/condition of an asset. This allows for more efficient and effective inventory, maintenance and inspection strategies. Nexar captures inspection results for any and all equipment and material, including Ex inspections. Arnleaโ€™s Nexar software product suite delivers real operational efficiency, asset integrity and regulatory compliance, reducing operating costs and improving safety.

NAICS: 5112
NAICS Definition: Software Publishers
Employees: 20
Subsidiaries: 0
12-month incidents
0
Known data breaches
0
Attack type number
0

Amazon Fulfillment Technologies & Robotics

300 Riverpark Drive, North Reading, MA, 01864, US
Last Update: 2025-03-04 (UTC)

On the Fulfillment Technologies & Robotics Team, we build dynamic partnerships between people and intelligent machines. This intricate collaboration helps Amazon fulfill orders with unmatched accuracy. Since we began working with robotics, we've added over a million new jobs worldwide. Working in symphony with our robotic technology, employees have the opportunity to extend their technical capabilities by working alongside some of the industryโ€™s most advanced technologies. This includes our fleet of autonomous mobile robots, sophisticated control software, and technologies like language perception, machine learning, object recognition, and semantic understanding of commands. These technologies help employees deliver an ever-improving customer and employee experience, as well as improve the safety of our facilities. Explore opportunities across the entire Fulfillment Technologies & Robotics team to find the right fit for you.

NAICS: 5112
NAICS Definition: Software Publishers
Employees: 12,180
Subsidiaries: 89
12-month incidents
0
Known data breaches
4
Attack type number
4

Compliance Badges Comparison

Security & Compliance Standards Overview

https://images.rankiteo.com/companyimages/arnlea-systems-ltd.jpeg
Arnlea Systems
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ISO 27001
Not verified
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SOC 2
Not verified
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GDPR
No public badge
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PCI DSS
No public badge
https://images.rankiteo.com/companyimages/kiva-systems.jpeg
Amazon Fulfillment Technologies & Robotics
โ€”
ISO 27001
Not verified
โ€”
SOC 2
Not verified
โ€”
GDPR
No public badge
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PCI DSS
No public badge
Compliance Summary
Arnlea Systems
100%
Compliance Rate
0/4 Standards Verified
Amazon Fulfillment Technologies & Robotics
0%
Compliance Rate
0/4 Standards Verified

Benchmark & Cyber Underwriting Signals

Incidents vs Software Development Industry Average (This Year)

No incidents recorded for Arnlea Systems in 2025.

Incidents vs Software Development Industry Average (This Year)

No incidents recorded for Amazon Fulfillment Technologies & Robotics in 2025.

Incident History โ€” Arnlea Systems (X = Date, Y = Severity)

Arnlea Systems cyber incidents detection timeline including parent company and subsidiaries

Incident History โ€” Amazon Fulfillment Technologies & Robotics (X = Date, Y = Severity)

Amazon Fulfillment Technologies & Robotics cyber incidents detection timeline including parent company and subsidiaries

Notable Incidents

Last 3 Security & Risk Events by Company

https://images.rankiteo.com/companyimages/arnlea-systems-ltd.jpeg
Arnlea Systems
Incidents

No Incident

https://images.rankiteo.com/companyimages/kiva-systems.jpeg
Amazon Fulfillment Technologies & Robotics
Incidents

Date Detected: 9/2025
Type:Cyber Attack
Attack Vector: Exposed Docker API, Misconfigured AWS EC2 Instances, Python Docker SDK
Motivation: Financial Gain, Disruption, Cybercrime-as-a-Service
Blog: Blog

Date Detected: 8/2025
Type:Vulnerability
Attack Vector: Insider Threat (Malicious or Accidental), Compromised AWS Credentials, Policy Manipulation
Motivation: Data Exfiltration, Unauthorized Data Access, Covert Persistence, Accidental Exposure
Blog: Blog

Date Detected: 7/2025
Type:Vulnerability
Attack Vector: Local Privilege Escalation
Motivation: Privilege Escalation
Blog: Blog

FAQ

Both Arnlea Systems company and Amazon Fulfillment Technologies & Robotics company demonstrate a comparable AI risk posture, with strong governance and monitoring frameworks in place.

Amazon Fulfillment Technologies & Robotics company has historically faced a number of disclosed cyber incidents, whereas Arnlea Systems company has not reported any.

In the current year, Amazon Fulfillment Technologies & Robotics company has reported more cyber incidents than Arnlea Systems company.

Neither Amazon Fulfillment Technologies & Robotics company nor Arnlea Systems company has reported experiencing a ransomware attack publicly.

Amazon Fulfillment Technologies & Robotics company has disclosed at least one data breach, while Arnlea Systems company has not reported such incidents publicly.

Amazon Fulfillment Technologies & Robotics company has reported targeted cyberattacks, while Arnlea Systems company has not reported such incidents publicly.

Amazon Fulfillment Technologies & Robotics company has disclosed at least one vulnerability, while Arnlea Systems company has not reported such incidents publicly.

Amazon Fulfillment Technologies & Robotics company has more subsidiaries worldwide compared to Arnlea Systems company.

Amazon Fulfillment Technologies & Robotics company employs more people globally than Arnlea Systems company, reflecting its scale as a Software Development.

Latest Global CVEs (Not Company-Specific)

Description

MinIO is a high-performance object storage system. In all versions prior to RELEASE.2025-10-15T17-29-55Z, a privilege escalation vulnerability allows service accounts and STS (Security Token Service) accounts with restricted session policies to bypass their inline policy restrictions when performing operations on their own account, specifically when creating new service accounts for the same user. The vulnerability exists in the IAM policy validation logic where the code incorrectly relied on the DenyOnly argument when validating session policies for restricted accounts. When a session policy is present, the system should validate that the action is allowed by the session policy, not just that it is not denied. An attacker with valid credentials for a restricted service or STS account can create a new service account for itself without policy restrictions, resulting in a new service account with full parent privileges instead of being restricted by the inline policy. This allows the attacker to access buckets and objects beyond their intended restrictions and modify, delete, or create objects outside their authorized scope. The vulnerability is fixed in version RELEASE.2025-10-15T17-29-55Z.

Risk Information
cvss3
Base: 8.1
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N
Description

Envoy is an open source edge and service proxy. Envoy versions earlier than 1.36.2, 1.35.6, 1.34.10, and 1.33.12 contain a use-after-free vulnerability in the Lua filter. When a Lua script executing in the response phase rewrites a response body so that its size exceeds the configured per_connection_buffer_limit_bytes (default 1MB), Envoy generates a local reply whose headers override the original response headers, leaving dangling references and causing a crash. This results in denial of service. Updating to versions 1.36.2, 1.35.6, 1.34.10, or 1.33.12 fixes the issue. Increasing per_connection_buffer_limit_bytes (and for HTTP/2 the initial_stream_window_size) or increasing per_request_buffer_limit_bytes / request_body_buffer_limit can reduce the likelihood of triggering the condition but does not correct the underlying memory safety flaw.

Risk Information
cvss3
Base: 6.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Description

In Xpdf 4.05 (and earlier), a PDF object loop in a CMap, via the "UseCMap" entry, leads to infinite recursion and a stack overflow.

Risk Information
cvss4
Base: 2.1
Severity: HIGH
CVSS:4.0/AV:L/AC:H/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description

A vulnerability was identified in NucleoidAI Nucleoid up to 0.7.10. The impacted element is the function extension.apply of the file /src/cluster.ts of the component Outbound Request Handler. Such manipulation of the argument https/ip/port/path/headers leads to server-side request forgery. The attack may be performed from remote.

Risk Information
cvss2
Base: 7.5
Severity: LOW
AV:N/AC:L/Au:N/C:P/I:P/A:P
cvss3
Base: 7.3
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L
cvss4
Base: 6.9
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description

HCL Traveler for Microsoft Outlook (HTMO) is susceptible to a credential leakage which could allow an attacker to access other computers or applications.

Risk Information
cvss3
Base: 5.5
Severity: LOW
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N