Comparison Overview
Life at Okta
Life at Okta
100 First Street, 6th Floor , San Francisco, California, US, 94105
Last Update: 27/04/2026
At Okta, we believe identity is the foundation of a secure world, especially as we move into a new era where Okta secures AI. The Life at Okta page is a window into our vibrant culture, where Okta employees are collaborating to solve the most complex security challenges...
Databricks
160 Spear Street, San Francisco, 94105, US
Last Update: 11/09/2026
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquar...
Compliance Ranges Comparison
Life at Okta
Databricks
Benchmark & Cyber Underwriting Signals
Incidents vs Software Development Industry Avg (This Year)
No incidents recorded for Life at Okta in 2026.
Incidents vs Software Development Industry Avg (This Year)
Databricks has 1.96% fewer incidents than the average of all companies with at least one recorded incident.
Incident History - Life at Okta (X = Date, Y = Severity)
Life at Okta cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Databricks (X = Date, Y = Severity)
Databricks cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Life at Okta
Databricks
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.