Where Exogram Is Used
Because admissibility and accountability are existential requirements. Industry-specific AI governance for autonomous entities operating within enterprise infrastructure.
🏦 FinTech & Banking
The Problem
AI agents processing transactions, generating compliance reports, and managing billing records. An unauthorized wire transfer or probabilistic variance is not a bug — it's a liability event.
How Exogram Helps
Exogram validates every financial operation before execution. Policy enforcement blocks unauthorized variance. Boundary control restricts agents to authorized accounts. Full audit trail for regulatory reporting.
PCI DSS audit trail • GLBA compliance • SOX control evidence
verdict = exo.evaluate(
action_type="billing.charge",
payload={"amount": 1500, "account": "acct_123"}
)🏥 Healthcare
The Problem
AI agents accessing patient records, generating clinical summaries, and coordinating care workflows. HIPAA violations carry $50K+ per incident. PII exposure in AI agent logs is a breach.
How Exogram Helps
Exogram's PII Air Gap scrubs patient identifiers before storage. Hard deletion ensures HIPAA-compliant erasure. Namespace isolation enforces patient data segregation. Zero PII in the Knowledge Graph.
HIPAA BAA ready • PHI scrubbing • Audit trail export
verdict = exo.evaluate(
action_type="patient.update",
payload={"patient_id": "P-789", "field": "diagnosis"}
# PII auto-scrubbed. Namespace isolated.
)☁️ SaaS & Platform
The Problem
Multi-tenant AI agents sharing infrastructure. Without isolation, Agent A can access Tenant B's data. Without governance, agents can modify billing, delete accounts, or escalate privileges.
How Exogram Helps
Namespace isolation enforces tenant boundaries at the infrastructure level. Boundary control prevents cross-tenant data access. Destructive action blocking prevents account deletion. Rate limiting prevents resource abuse.
SOC 2 Type II ready • Multi-tenant isolation • API key governance
verdict = exo.evaluate(
action_type="tenant.modify",
namespace="tenant_456",
payload={"operation": "update_plan"}
# Cross-tenant access: blocked.
)⚖️ Legal & Compliance
The Problem
AI agents generating legal documents, reviewing contracts, and producing compliance reports. Probabilistic errors or unauthorized clauses create malpractice liability.
How Exogram Helps
Contextual resolution catches contradictions between AI-generated content and established legal facts. Policy enforcement validates document structure. Immutable audit trail provides non-repudiation for AI-assisted legal work.
ABA ethics compliance • e-Discovery ready • Chain of custody
verdict = exo.evaluate(
action_type="document.generate",
payload={"type": "contract", "jurisdiction": "NY"}
# Contradictions flagged. Citations verified.
)🔧 DevOps & Infrastructure
The Problem
AI agents managing CI/CD pipelines, deploying code, and modifying infrastructure. An AI-initiated deployment to production without validation, or an infrastructure change that takes down services.
How Exogram Helps
Exogram validates every infrastructure action: deployment targets, configuration changes, scaling decisions. Loop protection prevents cascading failures. State integrity ensures the infrastructure state hasn't changed between plan and apply.
Change management compliance • Deployment governance • Rollback verification
verdict = exo.evaluate(
action_type="infra.deploy",
payload={"target": "production", "service": "api-v2"}
# State hash verified. No drift since approval.
)🤖 Multi-Agent Systems
The Problem
Multiple AI agents coordinating on shared tasks — CrewAI crews, AutoGen groups, LangGraph workflows. More agents = compounded failure rates. Agent A's probabilistic variance becomes Agent B's input.
How Exogram Helps
Per-action governance across all agents. Each tool call from each agent is independently evaluated. One agent can be blocked while another passes. Context resolution catches inter-agent execution failures.
Per-agent audit trails • Cross-agent conflict detection • Compounded risk elimination
verdict = exo.evaluate(
action_type="agent.handoff",
agent_id="researcher_01",
payload={"to": "writer_01", "data": results}
# Inter-agent transfer validated.
)Technical Architecture Blueprints
Deep-dive technical patterns for solving specific AI agent failure states in production environments.
Blueprint
Preventing AI Agent Double-Spends
Idempotency & Replay logic →
Blueprint
Preventing Unauthorized Execution
Deterministic Action Permitting →
Blueprint
Enforcing Contextual Admissibility
Structured State Verification →
Blueprint
Fixing AutoGen Infinite Loops
Circular Graph Cycle-Breaking →
Blueprint
LangChain Timeout Protection
Safeguarding AgentExecutors →
Blueprint
HIPAA-Compliant State Isolation
Immutable Data Segregation →
Blueprint
SOC 2 Audit Trails
Cryptographic execution ledgers →
Blueprint
CrewAI Context Overflow
Preventing Context Poisoning →
Blueprint
PCI-DSS Compliant Gateways
Securing Stripe Interactions →
Blueprint
Swarm Rogue Containment
Anomalous Velocity Blocking →
Blueprint
Preventing LLM SQL Injection
Schema-enforced Boundaries →
Blueprint
Breaking Agent Deadlocks
Race Condition Resolution →
Don't See Your Industry?
If your AI agents have tool-use capabilities and operate in production, Exogram provides the execution governance layer. Framework-agnostic, model-agnostic, industry-agnostic.