Comparison Overview
TKH Artificial Intelligence
TKH Artificial Intelligence
Paasheuvelweg 20, None, Amsterdam, North Holland, NL, 1105
Last Update: 10/05/2026
We're a dedicated team of AI Engineers that help TKH Develop machines that see, hear, sense and interact in the the real world.
GLG
60 East 42nd Street, 3rd Floor, New York, NY, US, 10165
Last Update: 05/09/2026
GLG is the world’s largest insight network. We connect decision makers to the right experts so they can act with the confidence that comes from true clarity and have what it takes to get ahead. Our network of experts is the world’s largest source of first-hand expertise...
Compliance Ranges Comparison
TKH Artificial Intelligence
GLG
Benchmark & Cyber Underwriting Signals
Incidents vs Information Services Industry Avg (This Year)
No incidents recorded for TKH Artificial Intelligence in 2026.
Incidents vs Information Services Industry Avg (This Year)
No incidents recorded for GLG in 2026.
Incident History - TKH Artificial Intelligence (X = Date, Y = Severity)
TKH Artificial Intelligence cyber incidents detection timeline including parent company and subsidiaries.
Incident History - GLG (X = Date, Y = Severity)
GLG cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
TKH Artificial Intelligence
GLG
FAQ
Latest Global CVEs
vLLM through 0.29.0 fails to properly clean up decode-side metadata for rejected inference requests in prefill/decode disaggregated deployments. Remote attackers can submit requests with max_tokens=0 to exhaust decode-worker memory without bound until the worker restarts.
- https://github.com/vllm-project/vllm
- https://github.com/vllm-project/vllm/blob/v0.29.0/vllm/distributed/kv_transfer/kv_connector/v1/nixl/push_worker.py#L162-L181
- https://github.com/vllm-project/vllm/pull/55677
- https://www.vulncheck.com/advisories/vllm-through-0.29.0-memory-exhaustion-via-rejected-requests
redis-parser through 3.0.0 contains a denial of service vulnerability in the RESP protocol parser that allows malicious Redis endpoints to crash the client process through unbounded recursion on nested arrays. Attackers can send crafted RESP byte streams with repeated array headers that exhaust the V8 call stack, causing an uncaught RangeError that terminates the Node.js process without triggering error handling callbacks.
- https://github.com/NodeRedis/node-redis-parser
- https://github.com/NodeRedis/node-redis-parser/blob/701655430f5f7d9ca00892a02f7eefcbc1193a98/lib/parser.js#L204-L213
- https://github.com/NodeRedis/node-redis-parser/blob/701655430f5f7d9ca00892a02f7eefcbc1193a98/lib/parser.js#L291-L306
- https://github.com/redis/ioredis/issues/2108
- https://www.vulncheck.com/advisories/redis-parser-through-3.0.0-denial-of-service-via-unbounded-recursion
Improper neutralization of special elements in output used by a downstream component ('injection') in Azure Cosmos DB allows an authorized attacker to elevate privileges over a network.
Server-side request forgery (ssrf) in Azure AI Foundry allows an unauthorized attacker to elevate privileges over a network.
Missing authentication for critical function in Azure AI Foundry allows an unauthorized attacker to elevate privileges over a network.