Comparison Overview
US Army Artificial Intelligence Integration Center (AI2C)

US Army Artificial Intelligence Integration Center (AI2C)
6425 Penn Ave, Pittsburgh, 15206, US
Last Update: 07/07/2026
The Army Artificial Intelligence Integration Center (AI2C) allows the U.S. Army to better connect with the broader artificial intelligence community and focus research efforts in this dynamic field. The Army Futures Command established the “Army AI Hub” as the charter...

Canadian Armed Forces | Forces armées canadiennes
101 Colonel By Drive, Ottawa, Ontario, CA, K1A 0K2
Last Update: 30/03/2026
A career in the Canadian Armed Forces is more than a way to make a living. It’s a passport to a whole-life experience that will change you and allow you to change the lives of others. Join an organization that offers more than 100 different trades and professions. Ob...
Compliance Ranges Comparison

US Army Artificial Intelligence Integration Center (AI2C)







Canadian Armed Forces | Forces armées canadiennes






Benchmark & Cyber Underwriting Signals
Incidents vs Armed Forces Industry Avg (This Year)
US Army Artificial Intelligence Integration Center (AI2C) has 52.38% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Armed Forces Industry Avg (This Year)
No incidents recorded for Canadian Armed Forces | Forces armées canadiennes in 2026.
Incident History - US Army Artificial Intelligence Integration Center (AI2C) (X = Date, Y = Severity)
US Army Artificial Intelligence Integration Center (AI2C) cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Canadian Armed Forces | Forces armées canadiennes (X = Date, Y = Severity)
Canadian Armed Forces | Forces armées canadiennes cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

US Army Artificial Intelligence Integration Center (AI2C)

Canadian Armed Forces | Forces armées canadiennes
FAQ
Latest Global CVEs
Authentication bypass using an alternate path or channel in Microsoft Edge (Chromium-based) allows an unauthorized attacker to perform tampering over a network.
JLine is a Java library for handling console input. Prior to 3.30.14, 4.0.16, and 4.2.1, the JLine3 Telnet server remote-telnet module does not apply an upper bound to terminal dimensions received via the Telnet NAWS option, and TelnetIO.handleNAWS() in TelnetIO.java:856-879 reads client-supplied width and height as 16-bit unsigned integers and passes values such as 65535x65535 to setTerminalGeometry(), allowing an unauthenticated remote attacker to repeatedly alternate values and trigger continuous expensive rendering work that causes CPU exhaustion and denial of service. This issue is fixed in versions 3.30.14, 4.0.16, and 4.2.1.
- https://github.com/jline/jline3/commit/3ea9cad8699714dc072fade29d36be0d1e23d708
- https://github.com/jline/jline3/commit/733eb353dca7b0ea0252e724445b6defa29c393e
- https://github.com/jline/jline3/commit/86b7ba7801988aadb1a67555629522a71d603bd3
- https://github.com/jline/jline3/pull/2000
- https://github.com/jline/jline3/releases/tag/4.0.16
- https://github.com/jline/jline3/releases/tag/4.2.1
- https://github.com/jline/jline3/security/advisories/GHSA-2r2c-cx56-8933
JLine is a Java library for handling console input. Prior to 3.30.14, 4.0.16, and 4.2.1, the JLine3 Telnet server remote-telnet module does not limit the number of environment variables a client may inject via the Telnet NEW-ENVIRON option, and TelnetIO.readNEVariables() in TelnetIO.java:1127-1180 stores each variable pair in a HashMap held by ConnectionData, allowing an unauthenticated attacker to flood unique variable pairs before the terminating IAC SE byte and exhaust JVM heap memory with an OutOfMemoryError. This issue is fixed in versions 3.30.14, 4.0.16, and 4.2.1.
- https://github.com/jline/jline3/commit/0389f0ee6d0375901b602671ad5dafd4d1d4ee09
- https://github.com/jline/jline3/commit/4ee3a73849ffb9a85ec748e4e8cd8f6d81f84f40
- https://github.com/jline/jline3/commit/934f09e6128cee33c2b13d42b6e859c1ee2d194b
- https://github.com/jline/jline3/pull/2000
- https://github.com/jline/jline3/pull/2001
- https://github.com/jline/jline3/releases/tag/4.0.16
- https://github.com/jline/jline3/releases/tag/4.2.1
- https://github.com/jline/jline3/releases/tag/jline-3.30.14
- https://github.com/jline/jline3/security/advisories/GHSA-47qp-hqvx-6r3f
Exposure of private personal information to an unauthorized actor in Windows RDP allows an unauthorized attacker to disclose information over a network.
Feathersjs is a framework for creating web APIs and real-time applications with TypeScript or JavaScript. In 5.0.44 and earlier, the _.merge(target, source) utility exported by @feathersjs/commons recursively merges source into target by iterating Object.keys(source). When source was produced by JSON.parse and contains a __proto__, constructor, or prototype key, that key is returned as an own-enumerable property; the recursive merge then resolves target['__proto__'] to Object.prototype and writes attacker-supplied properties onto it, polluting the prototype for all plain objects in the process for the lifetime of the Node process. This issue is fixed in version 5.0.45.