Comparison Overview
Banzai Cloud
Banzai Cloud
Rákóczi út 1-3, Budapest, undefined, 1088, HU
Last Update: 07/02/2026
Banzai Cloud is a platform for pipeline developers designed to simplify the creation, deployment, and scalability of contemporary cloud applications. Our platform makes use of an automation and execution engine that offers deployment automation adapted for different a...
Cisco
Tasman Way, San Jose, 95134, US
Last Update: 17/09/2026
Cisco is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its custo...
Compliance Ranges Comparison
Banzai Cloud
Cisco
Benchmark & Cyber Underwriting Signals
Incidents vs Software Development Industry Avg (This Year)
No incidents recorded for Banzai Cloud in 2026.
Incidents vs Software Development Industry Avg (This Year)
Cisco has 3298.06% more incidents than the average of all companies with at least one recorded incident.
Incident History - Banzai Cloud (X = Date, Y = Severity)
Banzai Cloud cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Cisco (X = Date, Y = Severity)
Cisco cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Banzai Cloud
Cisco
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.