Lorica is the governed AI agent platform from InviolableVeritas — built for regulated industries where every agent action carries compliance weight, and where shadow AI is a liability event waiting to happen.
Governance, security, accountability, and clarity — designed as architecture, not as features added afterward.
The Founding Conviction
Trust is not a feature.
It is the outcome of architecture.
The cost of getting AI wrong
is no longer theoretical.
Lorica was built on a single architectural commitment: security principles were locked first, and capability was built inside them. Whenever a capability collided with a principle during design, the capability was redesigned to fit the principle — not the principle treated as an exception to make the capability work. That discipline produces architecturally enforced security rather than bolted-on restraint — a cohesion visible at every layer, where each plate strengthens every other plate.
Governance · Security · Accountability · Clarity. Four properties. One outcome: trust.
Every agent action recorded in a tamper-proof cryptographic chain.
No agent executes in violation of the regulatory or security policies in effect.
Security is built into the foundation, not bolted on afterwards.
Threats are contained in milliseconds before damage can be done.
The audit trail your regulator already expects
Lorica’s append-only HMAC-chained EventStore is engineered to produce regulator-ready evidence on demand — across HIPAA, GDPR, SOC 2, FCA, and PCI DSS regulatory contexts. The Cryptographically Verified Reconstruction (CVR) feature is designed to give you a court-transcript-grade record of every agent action across your environment.
Compliance evidence built by architecture, not assembled before audit
Every agent action is HMAC-chained into an append-only EventStone – produced as a byproduct of operation, not assembled retrospectively. Regulation packs for HIPAA, GDPR, SOC 2, FCA, MiFID II, PCI DSS, and the EU AI Act evaluate every agent action in real time. The PTRA process produces a four-section, cryptographically anchored compliance record under a four-eyes publishing gate – the answer when the regulator calls is already there.
The framework is the sole authorized writer
Agents don’t write to the EventStore — the framework does, on their behalf, after every gate. Agents never hold signing material, API keys, or service credentials. A compromised agent’s context is an empty room. See the six-stage write pipeline →
Architectural fit, not vendor lock-in
Dual access by design: no-code governed deployment for line-of-business teams and full programmatic API/SDK for engineering, both passing through the same governance gates. MCP-server compatible. Plugin-shaped extensibility for predicates, event types, and regulation packs. On-prem, sovereign, or cloud deployment with data-residency control. IV Exchange marketplace for verified third-party agents with cryptographic provenance.
The category bet that defines the next AI cycle
The AI agent market is on a $8B → $180B trajectory. The governance market that has to keep up with it is still nascent — $492M in 2026, projected past $1B by 2030. Gartner finds dedicated governance platforms 3.4× more effective than traditional GRC. IV is not positioning within that market. IV intends to define it — by getting governance, security, accountability, and clarity right at the architectural level before the regulatory tide forces every competitor to retrofit.
Tools for governing the transition the AI age demands
The Government Assistance Plan equips agencies to design, model, and implement transition policy at the pace AI requires. SEED Prep provides a four-domain framework for societal preparation. ADAPT&R produces structured resolutions — or honest deadlock reports — where multi-party policy conflict today produces only stalemate. The same architectural governance posture IV brings to regulated industry applies to sovereign deployments: data residency, EventStore audit, PTRA process, four-eyes operator controls.
Compliance evidence is generated continuously, not assembled in a panic
Healthcare breach costs average $7.42M. Shadow AI deployments add $670K per incident. The EU AI Act introduces fines up to €35M or 7% of global turnover. Lorica is engineered so that the cost of proving governance is paid by the architecture, not by your audit team during a regulator visit.
The category is forming. The architecture is the moat.
The Governance Gap
The industry knows the problem.
The numbers are not ambiguous.
The threat surface for AI agents
is not what your SOC was built to monitor.
AI tools are already inside your institution. Some you sanctioned. Some were adopted quietly. Some may be running today without your knowledge. How many are fully auditable, governed, and compliant — right now?
of enterprise applications will embed AI agents by end of 2026 — up from less than 5% in 2025
of technical teams are already in active testing or production — only 14.4% have full security approval
of CISOs are very or critically concerned about AI agent risks — only 30% have mature safeguards in place
organizations have comprehensive AI security governance in place — three in four do not
organizations have a mature governance model for agentic AI specifically
of organizations lack formal security policies for their AI agent deployments — tools already in production
That’s the problem IV was built to solve.
Explore the Platform
Lorica — AI agent governance, forged in architecture.
Named for the segmented armor that made the Roman legions unstoppable. Each plate a capability. Each layer a protection.