Security controls built for hybrid, regulated estates.
Reduce blind spots across identity, AI usage, code, and attack paths with controls that are deployable, reviewable, and measurable.
Most teams have data. Fewer have usable security context.
Logging alone does not tell you which path matters, which control failed, or where AI use is slipping outside policy.
Teams are buried in events, fragmented tools, and manual triage. At the same time, model usage, prompt traffic, and generated code are entering the estate faster than review processes can adapt.
Signal Noise
High event volume rarely comes with enough context to prioritize action or understand blast radius.
AI Blindspot
Employees and teams adopt models faster than policy, access control, and audit processes can keep up.
Static Defense
Attackers rehearse chains of action. Most defenders are still reacting one alert at a time.
Model the path. Enforce the boundary.
Cyblox combines context, simulation, and policy controls so teams can act earlier and defend with evidence.
Unified Context
Connect identity, policy, activity, and exposure so signals can be interpreted in operational context.
Attack Path Simulation
Test realistic chains of attack against the environment you actually run, not a lab-only abstraction.
AI-Native Controls
Put policy between users and models so access, redaction, and logging are enforced by default.
Full Visibility
Map identities, access paths, and control exposure in one operational view.
Threat Simulation
Validate realistic attack paths safely before an adversary validates them for you.
AI Governance
Control model access, prompt handling, and auditability with policy-backed enforcement.
Evidence Generation
Generate material that helps security, audit, and procurement teams review faster.
Security blocks you can deploy one control gap at a time.
Each block is scoped to a concrete problem so teams can adopt what they need without signing up for a monolith.
AI Access Security
Enforce model access, redaction, and audit policy for enterprise AI usage.
Learn moreGenAI Code Security
Review AI-generated code before it enters the repository or release path.
Learn moreGhostRun
Adversary simulation to test whether controls hold under realistic paths of attack.
Learn moreCSAIC
A private security assistant grounded in your own telemetry, policies, and evidence.
Learn moreControl boundaries matter as much as detection quality.
Security products should not create a second layer of risk. Deployment, data handling, and evidence flow need to be explicit.
Customer Ownership
Keep control of your data, exports, and deployment boundaries instead of inheriting a vendor-only operating model.
Read-Only Ingestion
Use non-intrusive collection patterns where read-only access is the right fit for review-heavy environments.
Sovereign Ready
Support sovereign cloud, isolated network, and customer-controlled deployment requirements.
Secure your estate. Govern your AI.
Bring us the environment, attack surface, and review path. We will help you decide where to start and what to defer.