Comparison Overview
AgriTecno | Ajinomoto Group
AgriTecno | Ajinomoto Group
Paseo de Ruzafa, 20, Esc.1 – 4º 46002 , Valencia, 46002 , ES
Last Update: 19/03/2026
At AgriTecno, we drive sustainable agriculture forward with advanced biostimulants and plant nutrition solutions. Backed by over 20 years of expertise and part of the Ajinomoto Group, we combine science, technology, and agronomic knowledge to help farmers boost crop he...
Amgen
One Amgen Center Drive, Thousand Oaks, 91320, US
Last Update: 11/09/2026
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We helped establish the biotechnology industry, and we remain on the cutting-edge of innovation, using technology and human gene...
Compliance Ranges Comparison
AgriTecno | Ajinomoto Group
Amgen
Benchmark & Cyber Underwriting Signals
Incidents vs Biotechnology Research Industry Avg (This Year)
No incidents recorded for AgriTecno | Ajinomoto Group in 2026.
Incidents vs Biotechnology Research Industry Avg (This Year)
Amgen has 2.91% fewer incidents than the average of all companies with at least one recorded incident.
Incident History - AgriTecno | Ajinomoto Group (X = Date, Y = Severity)
AgriTecno | Ajinomoto Group cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Amgen (X = Date, Y = Severity)
Amgen cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
AgriTecno | Ajinomoto Group
Amgen
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.