Govern AI Agents Before They Act
Infiltron enforces policy at runtime across AI agents, identities, data, tools, and APIs. It blocks unauthorized actions, routes high-consequence decisions for approval, and produces tamper-evident evidence for regulated and mission-critical environments.
Deploy the AI models that fit your mission, including self-hosted and open-weight models, without surrendering accountability. Infiltron helps federal, defense, critical-infrastructure, and regulated-enterprise teams control high-consequence AI actions and prepare for post-quantum cryptographic transition.
Built in Darkness. Engineered to Protect.
Infiltron was built during a critical infrastructure failure that severed all communications for 20,000 personnel. On the ground, our founder, a U.S. Air Force engineer, witnessed what happens when the systems people depend on become invisible. Authority becomes unclear. Dependencies are unknown. Control is lost when it matters most.
That experience defines how we build.
As AI agents gain access to sensitive data, enterprise tools, APIs, and mission-critical workflows, and as cryptographic systems face a post-quantum transition, visibility is not a reporting feature. It is a condition of security, accountability, and operational resilience.
Infiltron gives organizations the ability to see what matters, govern what acts, and preserve tamper-evident evidence of every consequential decision.
Founded by Lourde Wright. Built for accountable AI and cryptographic resilience in high-consequence environments.
Observe, Authorize, Enforce, Prove
An AI agent is about to access controlled data, invoke an API, use a credential, modify infrastructure, execute a transaction, or trigger a mission-critical workflow. Infiltron evaluates identity, authority, policy, context, and risk. Then it allows, blocks, or escalates the action before it happens.
Software Built for Operational Control
Infiltron SecureOps is a runtime-governance platform that integrates with AI agents, models, data sources, identities, tools, and APIs. Organizations can deploy it as a controlled software layer across high-consequence workflows, with implementation and integration support available for mission-critical environments.
AI Runtime Governance
Know which agents can access mission-critical systems and what authority they have. Enforce policies at runtime. Produce audit-ready evidence of every high-consequence decision, approval, and action.
Core capabilities: Agent and model inventory, policy-as-code, identity/data/tool/API controls, high-consequence action approval, runtime enforcement, decision evidence.
Cryptographic & PQC Governance
Know where vulnerable cryptography lives before migration pressure becomes an operational failure. Infiltron identifies cryptographic dependencies, assigns ownership, documents algorithms and certificates, prioritizes migration risk, and organizes evidence for post-quantum readiness.
Core capabilities: Cryptographic discovery, CBOM generation, dependency mapping, ownership linkage, migration prioritization, readiness evidence.
Built for Defensible AI Operations
Infiltron supports organizations where AI deployment, cryptographic posture, and governance evidence directly affect procurement, risk assessment, audit outcomes, and compliance review.
Runtime Control
Policy decisions occur before consequential AI actions reach connected systems, data, or infrastructure.
Human Accountability
High-consequence actions can be routed to designated approvers based on context, authority, and risk profile.
Evidence Integrity
Records link the action request, applicable policy, relevant identity, approval path, timestamp, and outcome into tamper-evident evidence.
Cryptographic Readiness
Cryptographic inventory and governance support planning for post-quantum transition and regulatory compliance.
Infiltron in Federal, Defense, Critical Infrastructure, and Regulated Enterprise
Federal & Defense
Problem: AI systems require clear authority, human accountability, and reviewable evidence for RMF, FedRAMP, NIST, and CMMC review.
Infiltron outcome: Govern high-consequence AI actions before they affect mission systems. Prepare audit-ready evidence for authorized personnel to review.
Critical Infrastructure
Problem: AI, automation, and cryptographic dependencies introduce operational blind spots. Regulators and insurers require demonstrable control.
Infiltron outcome: Control system access and AI agent actions. Preserve operational resilience. Document consequential decisions with tamper-evident evidence.
Regulated Enterprise
Problem: AI agents can reach customer data, privileged tools, and business processes. Audit and compliance requirements are tightening.
Infiltron outcome: Enforce contextual policy at runtime. Produce audit-ready evidence. Meet regulatory review requirements without slowing AI deployment.
Prime Contractors & Systems Integrators
Problem: Customers increasingly require AI assurance and governance features inside delivered solutions.
Infiltron outcome: Embed runtime governance and evidence controls into programs. Differentiate in competitive bids with demonstrable control infrastructure.
Request a Confidential Assessment or Briefing
Bring one high-consequence AI workflow or one PQC transition challenge. Leave with a control and evidence roadmap. Initial discussions focus on organizational requirements, evaluation scope, and appropriate next steps.
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