Comparison Overview
Poseidon AML

Poseidon AML
StavStavrou Niarhou 85 Avenue, Ioannina , Epirus, 45500, GR
Last Update: 23/04/2026
Anti-Money Laundering and Counter - Terrorist Financing System with Anti-Fraud Functionality. POSEIDON AML is a certified integrated banking solution for the prevention of money laundering and financing of terrorist organizations. The system can alternatively work as a...

NTT DATA Business Solutions
Königsbreede 1, Bielefeld, 33605, DE
Last Update: 02/04/2026
We understand the business of our clients and know what it takes to transform it into the future. At NTT DATA Business Solutions, we drive innovation – from advisory and implementation to managed services and beyond. With SAP at our core and a powerful ecosystem of part...
Compliance Ranges Comparison

Poseidon AML







NTT DATA Business Solutions






Benchmark & Cyber Underwriting Signals
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Poseidon AML in 2026.
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for NTT DATA Business Solutions in 2026.
Incident History - Poseidon AML (X = Date, Y = Severity)
Poseidon AML cyber incidents detection timeline including parent company and subsidiaries.
Incident History - NTT DATA Business Solutions (X = Date, Y = Severity)
NTT DATA Business Solutions cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Poseidon AML

NTT DATA Business Solutions
FAQ
Latest Global CVEs
Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). A low-privileged authenticated user can send a specially crafted request to a Kibana machine learning feature, causing the server to exhaust available memory and become unavailable to all users.
Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated attacker with low-privilege access can trigger a denial of service condition in Kibana by sending a specially crafted, oversized request payload. Processing this user-supplied input requires resource-intensive memory allocation that can exhaust the available heap memory in the Kibana process, causing it to crash and become unavailable to all users.
Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to information disclosure via user-supplied identifiers that reference scheduled query result data from Kibana Spaces the requester is not authorized to access.
Incorrect Authorization (CWE-863) in Kibana can lead to integrity compromise of Machine Learning audit and notification records via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). A vulnerability exists in Kibana's Machine Learning functionality where a Machine Learning management endpoint performs an insufficient authorization check. The endpoint validates only a coarse privilege level but does not verify that the requesting user has access to the specific Machine Learning job or notification resources provided in the request. As a result, a low-privileged user with Machine Learning access in any Kibana space can manipulate Machine Learning audit and notification records for arbitrary jobs—including jobs in other spaces or belonging to other users—by leveraging Kibana's internally elevated credentials to write to restricted Machine Learning system indices that the user cannot access directly.
Uncontrolled Recursion (CWE-674) in Elasticsearch can lead to denial of service via a specially crafted search request submitted by a low-privileged authenticated user. A user with read-level index access can submit a request that triggers unbounded recursive processing within the Elasticsearch query evaluation component, causing a fatal error that terminates the affected node. In single-node deployments, this results in complete service outage; in multi-node clusters, it causes repeated node restarts and sustained availability degradation.