Technical Deep Dive
Verification Architecture.
Four verification layers that sit between your AI models and your application. Each layer operates independently and can be adopted incrementally.
Schema Integrity Engine
Validates that every AI output conforms to predefined structural contracts. Catches hallucinated fields and type mismatches before they reach clients.
Capabilities
- →JSON Schema validation with custom AI-aware extensions
- →Recursive nested object verification
- →Dynamic schema inference from historical outputs
- →Real-time validation at <5ms latency
- →Schema drift detection and alerting
Performance
Boundary Control Protocol
Enforces operational boundaries on AI behavior. Prevents scope creep, unauthorized actions, and ensures AI systems operate within their defined mandate.
Capabilities
- →Action admissibility verification (EAAP protocol)
- →Scope boundary enforcement for agents
- →Permission-based tool access control
- →Budget and rate limiting per session
- →Audit trail for every boundary decision
Performance
Threat Prevention Layer
Detects and blocks adversarial inputs, prompt injections, and data exfiltration attempts. The immune system for AI applications.
Capabilities
- →Prompt injection detection (99.2% accuracy)
- →Data exfiltration prevention
- →PII detection and masking
- →Adversarial input classification
- →Jailbreak attempt blocking
Performance
Memory Integrity System
Ensures AI systems maintain consistent, verified memory across sessions. Prevents memory hallucinations and corruption of stored state.
Capabilities
- →Cryptographic memory verification
- →Cross-session consistency checks
- →Conflict detection and resolution
- →Source attribution for every memory entry
- →Memory decay and freshness scoring
Performance
What Governance Looks Like in Operation
Every agent action is evaluated against deterministic policy gates in real time. Not confidence scores. Not probabilistic filters. Binary policy enforcement.
3
Allowed
1
Modified
1
Escalated
3
Blocked
SELECT * FROM production_users
Unbounded query on PII table — requires scoped WHERE clause
git push origin main --force
Force push to protected branch not on allowlist
Generate refund recommendation
Within authorized scope, confidence 94%, under cost ceiling
This is what deterministic governance looks like at runtime.
Not confidence scores. Not probabilistic filters. Binary policy enforcement in under 3ms.
Integration
Exogram integrates via MCP (Model Context Protocol), REST API, or SDK. Drop it into your existing AI pipeline with zero architecture changes.
MCP Server
Native protocol integration for Claude and compatible AI agents
REST API
Standard HTTP endpoints for any programming language or framework
Python SDK
pip install exogram — type-safe client with async support
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