AI-native cyber operations
See the exposure. Shape the response.
Poxek brings external exposure, vulnerability context, AI runtime governance, and security operations into one connected operating picture.
One operating picture
Security context should move with the work.
Poxek is designed around distinct control points that can share the context behind an operational decision. Start where the constraint is sharpest, then connect exposure, governance, and response as the operating model develops.
Poxek EASM
External Attack Surface ManagementRecursive external discovery, evidence-backed attribution, and change tracking for the perimeter nobody owns end to end.
View product →Private previewPoxek Vulnerability Management
Exposure-aware VMExposure-aware assessment, risk-based queues, remediation ownership, and rescan verification connected to the live perimeter.
View product →Private previewPoxek LLM Firewall
AI runtime governanceBidirectional inspection, sensitive-data controls, capability boundaries, and evidence for production LLM applications and agents.
View product →Private previewPoxek AI SOC
SOC context automationEvidence-grounded case assembly, investigation playbooks, and human-supervised response for teams handling fragmented alert context.
View product →Private previewPoxek AI Purple Team
Continuous offensive-defensive learningA safety-bounded validation loop for measuring whether preventive and detective controls observe the behavior they were built to stop.
View product →Exposure-to-response narrative
From an unknown external asset to an explainable next action.
The intended workflow keeps evidence connected as teams map the perimeter, assess reachable exposure, govern AI activity, and prepare incident context for human review.
Poxek Research
Research for the next security operating model.
Source-backed analysis of exposure management, AI runtime security, vulnerability operations, and the changing role of the SOC.
An evidence-aware handoff is the unit of work for an AI SOC
A product approach for using bounded automation to prepare reviewable L3/L4 SOC cases.
Read article →AI traffic monitoring needs execution context
Why LLM and agent observability must connect model activity to policy, tools, identities, and outcomes.
Read article →An EASM private preview should begin with evidence, not a dashboard promise
A private-preview approach for external attack-surface work that keeps discovery, review, and ownership boundaries explicit.
Read article →Decision records are the future of external vulnerability management
A future-facing view of vulnerability management that preserves evidence, uncertainty, and decisions as the external perimeter changes.
Read article →The future of SOC automation is a review system, not an autonomous authority
A future-state view of AI-assisted investigations with constrained tools, recorded evidence, and human authority.
Read article →An LLM firewall is a runtime control plane, not a prompt filter
A product view of capability boundaries, traffic monitoring, and governed agent execution.
Read article →External vulnerability findings need an asset decision
Why public-facing vulnerability evidence should be handled as an asset-specific decision, not a generic list of CVEs.
Read article →The next perimeter model needs confidence and time
A future-facing view of external discovery where evidence quality and change history are first-class data.
Read article →Runtime boundaries matter more as agents gain tools
Why tool-using AI needs capabilities, authorization, and evidence outside the model.
Read article →Context should come before SOC autonomy
Why AI-assisted SOC work should begin with evidence reconstruction and accountable analyst decisions.
Read article →Vulnerability prioritization needs more than a score
A private-preview product note on turning externally observed vulnerability evidence into reviewable remediation decisions.
Read article →Continuous visibility starts with an asset model
Why an external inventory needs evidence, relationships, and time—not a periodically exported host list.
Read article →Bring the perimeter and the response into the same conversation.
Tell us which operating constraint you need to examine. Private Preview discussions begin with scope, governance, and evaluation context.