Honest claims
We do not ship marketing copy for features we have not built. If a capability is on the roadmap we say so; if it is shipped we cite the subsystem. Our public claims trace to code paths in the platform.
Live enterprise platform. Controlled onboarding.
Penaxtra is a live AI Security Posture Management platform developed and operated by Seccops Cyber Security Technologies Inc. We serve regulated teams that run LLM applications, AI agents, MCP servers, RAG pipelines, vector databases, and AI gateways in production.
Single-judge LLM scanners inherit single-judge blind spots.
Most LLM-security tooling is built around a single model that scores another model. When the same family of model produces the bug and grades the bug, the bug score lies. We disagreed enough to write a three-judge plus meta-judge consensus methodology and ship it as a product.
Manual pentests miss the cadence. Foundation models update on the vendor side every week; a snapshot report from January is stale by March. Guardrail-only inline gateways sit in the request path and create new failure modes without leaving a control-mapped evidence trail. Penaxtra tests the system from the outside on a schedule, gates the runtime through a self-hosted egress proxy when the customer requests it, and emits independent evidence on both sides.
Three commitments we make to every customer.
Customer-controlled isolation
The runtime gateway agent is self-hosted. Prompt content never leaves the customer network in that deployment mode. Customer secrets stay encrypted with authenticated public-key cryptography; we cannot decrypt them administratively.
Auditor-ready evidence
Every finding ships with the control identifier. Reports are PDF-exportable and JSON-exportable. The audit log is append-only with a tamper-evident database mirror. GRC reviewers copy one row; they do not re-map by hand.
Contact and social channels.
[email protected]
Sales and customer success, weekdays 09:00-18:00 CET.
Social
Controlled enterprise onboarding.
We onboard customers through controlled enterprise onboarding because each deployment involves production AI endpoints, self-hosted runtime gateway policy, evidence retention, and audit-facing control mappings.
During onboarding, our engineering team works directly with security, platform, and GRC stakeholders to validate asset inventory, adversarial scan coverage, gateway behavior, and report outputs before broader rollout.