Raxaid fields coordinated AI agents that continuously attack, defend, and harden your systems, the way a real red team would. Automatically, 24/7, with no expert operator required.
Raxaid doesn't replay pre-written scripts. Its agents reason about every finding and decide what to try next, adapting to any environment in real time.
An AI that reasons, plans, and finds vulnerabilities on its own. It runs a Thought, Action, Observation loop with no operator, and no room for misuse.
Detects attacks as they happen and hardens the exposed surface automatically, patching in real time as the red team probes.
Every simulated attack permanently strengthens defense. A supervisor keeps the agents on-mission and enforces budgets and guardrails.
The category is crowded, but most tools are dangerous in the wrong hands, rigidly scripted, or blind to context. Raxaid was designed around those gaps.
Powerful, but easily misused, and it needs a skilled human operator for every engagement.
Fully autonomous with safety guardrails built in. No operator, and no room for misuse.
Automated, but rigid and poorly coordinated. Its agents don't work well together.
Orchestrates multiple AI agents, red team, blue team, and a supervisor, that coordinate as a real team.
Inflexible, pre-scripted scenarios that can't react to what they find.
AI reasoning that adapts to any environment in real time, deciding what to try next as it learns.
Automated, AI-driven attacks hit the smallest teams and the largest enterprises alike. Continuous validation shouldn't need a security department to run it.
Attackers don't check your size before they strike. We give any team, from startup to enterprise, a red team that never sleeps.
We're pre-launch and building in the open. Request early access, or just follow along.