Comparison Overview
SolarWinds Applications and Systems

SolarWinds Applications and Systems
Austin, us
Last Update: 19/01/2026
Visit this page for tips on best practices for deploying and optimizing system and application monitoring for your multi-vendor environment.

Workday
6110 Stoneridge Mall Rd, Pleasanton, 94588, US
Last Update: 12/09/2026
By unifying HR and Finance on an open, trusted platform powered by AI, Workday delivers high-impact outcomes our customers can count on. At the heart of our platform is Sana from Workday—the superintelligence that puts AI agents to work for you and your people. Welcome ...
Compliance Ranges Comparison

SolarWinds Applications and Systems







Workday






Benchmark & Cyber Underwriting Signals
Incidents vs Software Development Industry Avg (This Year)
No incidents recorded for SolarWinds Applications and Systems in 2026.
Incidents vs Software Development Industry Avg (This Year)
Workday has 2.91% fewer incidents than the average of all companies with at least one recorded incident.
Incident History - SolarWinds Applications and Systems (X = Date, Y = Severity)
SolarWinds Applications and Systems cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Workday (X = Date, Y = Severity)
Workday cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

SolarWinds Applications and Systems

Workday
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.