Behavioral instructions remain useful for guiding the model.
AI STARTUPS
AI runtime authority from day one
Start with the controls your AI product needs today. Keep the same authority foundation as your company grows, without rebuilding when the stakes rise.
Build on security infrastructure that does not become obsolete when your company succeeds.
Even a small AI product
needs real runtime authority from day one.
System prompts can guide model behavior. They do not independently control release. Arximus provides the runtime authority boundary that determines what protected output is permitted to continue.
The model does not decide what protected output is permitted to leave the runtime path.
Evaluate deterministic conditions before output can leave the controlled path.
Apply explicit customer-defined rules to the detected condition.
Allow, deny, redact, transform, restrict or flag according to policy.
Only the permitted result leaves the Arximus-controlled runtime path.
Control where protected output can go.
Block or restrict destinations outside the domains and external locations your product permits.
Keep internal destinations from becoming customer output.
Redact or transform configured internal links and destinations before release.
Stop protected credentials before release.
Detect configured credential, token and secret patterns and apply policy before customer exposure.
Redact protected customer information.
Apply deterministic handling to structured personal information according to configured policy.
Stop product-specific protected values.
Block configured names, identifiers, restricted values and organization-specific patterns.
Require protected output to match expected structure.
Prevent release when protected output does not satisfy the structure required by policy.
Security rules matter
when they control what happens next.
Arximus gives policy an independent runtime path. Detection becomes a decision, the decision becomes an enforced outcome, and the result can produce structured evidence.
Evaluate deterministic rules against the exact processed traffic.
Apply customer-defined handling to the condition that was detected.
Allow, deny, redact, transform, restrict or flag according to policy.
The controlled path determines what is allowed to leave Arximus.
Security-relevant decisions can produce structured runtime evidence.
Keep engineering focused
on the AI product.
One managed runtime security path is easier to evolve than a growing collection of filters, fallbacks and security logic scattered through application code.
One managed inspection path.
Inspect protected traffic in one controlled runtime layer instead of rebuilding product-specific filters across application features.
Keep important rules outside model prompts.
Define explicit runtime policy independently of model instructions and individual product features.
Control what happens when output cannot be released.
Apply defined handling and replacement behavior when protected output does not satisfy policy.
Observe controls before enforcing them.
Evaluate how configured rules would behave before turning them into production enforcement.
Keep structured records of runtime intervention.
Produce evidence of security-relevant decisions for operations, investigation and customer security review.
Add deeper authority without replacing the path.
Keep the same Arximus foundation as the product later requires verification, authorization and protected execution.
Give enterprise buyers
a concrete runtime security answer.
As an AI company moves into larger customers, security questions can arrive before a large internal security team does. Arximus gives the product an independent runtime control layer that can be explained, enforced and demonstrated.
Put policy outside the model.
Important AI traffic passes through an independent runtime security layer instead of relying only on model behavior or application-level checks.
Control what is permitted to reach users.
Configured rules can stop, redact, transform or restrict protected output before the controlled result is released.
Show what the runtime layer decided.
Security-relevant decisions can produce structured evidence for operational review and customer security conversations.
Add the control path
without replacing the product.
Keep the application and AI provider you already use. Arximus Cloud becomes the controlled runtime path between them.
Your application continues to own product behavior, customer experience and business logic.
Policy, enforcement and evidence operate independently of the model.
Use the provider and models that fit your product while Arximus controls the protected path.
More product value creates
more security specificity.
As the company grows, generic controls stop being enough. The security foundation should become more specific without forcing a platform replacement.
Extend security around
what makes your product different.
Arximus is extensible rather than fixed. As your product develops proprietary data models, workflows, integrations and security requirements, the runtime layer can develop with it.
Define controls specific to your product.
Express organization-specific requirements instead of limiting security to a generic rule catalogue.
Recognize conditions generic products cannot know.
Add detection logic around product-specific threats, values and operating conditions.
Model your own data, users and resources.
Teach the security layer how your product distinguishes protected information and operations.
Add specialized logic when built-ins are not enough.
Extend the runtime path with private security behavior specific to the deployment.
Bring proprietary context into security decisions.
Connect customer-approved systems and internal state that generic infrastructure cannot infer.
Build security processes around your operating model.
Add approval, escalation, verification and security workflows as the product becomes more consequential.
Adopt what you need now.
Keep the foundation when you need more.
The startup does not need every Arximus capability on day one. The value is that stronger security, customization and machine authority can be added without abandoning the runtime foundation already in place.
Protect important traffic without building a separate security subsystem.
Move important controls into an independent runtime path.
Answer production security questions with actual infrastructure controls.
Make the security layer increasingly specific to your product.
Control who or what may perform the exact proposed operation.
Bind authority to current facts and the exact operation reaching execution.
Extend the trusted path into higher-assurance operating environments.
Start with what your AI needs now. Keep the foundation when you need more.
Establish real runtime security without building the security platform yourself, then expand the same foundation as your product becomes more custom, your customers become more demanding and your AI gains more consequential authority.
- Start with deterministic runtime controls for important AI traffic.
- Centralize policy, enforcement and structured evidence as production usage grows.
- Strengthen the architecture as enterprise customers ask harder security questions.
- Add custom rules, detections, classifications, integrations and workflows as the product becomes more specific.
- Adopt Runtime Authorization when AI begins calling tools and changing consequential state.
- Add External Verification and Protected Execution when operations require stronger authority and exact-operation control.
- Extend into Enterprise deployment and Arximus Lock when the trusted path must reach customer-controlled infrastructure.