Securonix

Securonix provides cloud native security analytics, and its current public positioning names three problems directly: data costs, detection gaps and the risk introduced by artificial intelligence agents. Naming data cost first is unusual and revealing about where this market's pain actually sits.

Security data volumes have grown faster than security budgets, consistently and for years. An organisation logging everything it should generates volumes that cost more to retain than the detection is worth to the business, so teams quietly reduce retention or drop sources, and both decisions are made on cost grounds rather than security ones.

Separating storage from analytics is how vendors are responding, keeping data in cheaper storage the customer already owns and running detection over it rather than requiring everything to be ingested into the vendor's platform at the vendor's per gigabyte rate.

The AI agent point is genuinely new rather than repositioning. An agent with credentials acting on a user's behalf produces activity that looks like neither normal human behaviour nor conventional automation, and security monitoring built to distinguish those two categories has no model for a third that legitimately does unusual things at machine speed.

No pricing is published, though given the emphasis on data costs a buyer should establish precisely how the pricing model treats volume before comparing against incumbents.