Technology

CMIS Governance Architecture

Core Model

CMIS formalizes reasoning as:

y = m(x) + b

Where:

x - structured context vector
m - deterministic transformation operator
b - declared constitutional baseline
y - governed outcome package

Execution Pipeline

Context classification
Signal extraction
Scope determination
Constraint enforcement
Decision envelope emission
Optional generation (if allowed)

Decision Envelope

Each evaluation produces a structured output containing:

Decision (ALLOW / REFUSE / CONSTRAIN)
Confidence (bounded scalar)
Scope classification
Trace metadata
Violation flags (if any)

Design Principles

Decision precedes generation
Governance precedes capability
Traceability defines correctness
No silent drift
No hidden authority accumulation

Governance Architecture Diagram

User Input

â†“

CMIS Governance Layer

â†“

Decision (ALLOW / BLOCK)

â†“

If ALLOW: Controlled Generation

â†“

Immutable Audit Log

User â†’ CMIS Governance Layer â†’ Decision (ALLOW/BLOCK) â†’ (If ALLOW) Controlled Generation â†’ Immutable Audit Log.

Formal Specification

Download CMIS 2026 Governance Spec v1.0

CMIS 2026 Canonical Governance Specification

CONST CORE_EQUATION_LINGUISTIC = "y = m(x) + b"
CONST CORE_EQUATION_GENERAL = "p = Î£(v_i Ã— x_i) + a"
CONST RESILIENCE_FORMULA = "R_final = Res(L Ã— S_f) âˆ’ B_p"

FUNCTION INTERCEPT_REQUEST(user_prompt, metadata, system_policy, history):

x = BUILD_CONTEXT(user_prompt, metadata, system_policy, history)
b = LOAD_BASELINE(system_policy, metadata)

envelope = GOVERN_AND_DECIDE(x, b)

IF envelope.decision == "ALLOW":
  output = CONTROLLED_GENERATION(user_prompt)
  RETURN ATTACH_TRACE(output, envelope)
ELSE:
  RETURN STRUCTURED_REFUSAL(envelope)

FUNCTION BUILD_CONTEXT(user_prompt, metadata, system_policy, history):

x.raw_input        = user_prompt
x.tokens           = TOKENIZE(user_prompt)
x.symbols          = SYMBOL_ENCODER(x.tokens)
x.syntax_tree      = SYNTAX_PARSER(x.symbols)

x.intent           = DETECT_INTENT(user_prompt)
x.domain_rules     = LOAD_DOMAIN_RULES(x.intent)
x.ethical_flags    = SCAN_ETHICAL_SIGNALS(user_prompt)
x.role_profile     = metadata.role
x.history_summary  = SAFE_HISTORY(history)

RETURN x

FUNCTION LOAD_BASELINE(system_policy, metadata):

b.risk_threshold     = system_policy.risk_threshold
b.bias_bounds        = system_policy.bias_bounds
b.allowed_scopes     = system_policy.allowed_scopes
b.refusal_rules      = system_policy.refusal_rules
b.regulatory_modules = system_policy.compliance_modules
b.organization       = metadata.organization

RETURN b

FUNCTION GOVERN_AND_DECIDE(x, b):

trace = INIT_TRACE()

L    = LOGIC_AGENT(x.syntax_tree)
B_p  = BIAS_AGENT(x)
R_s  = RISK_AGENT(x)
I_s  = IMPACT_AGENT(x)
S_f  = STRUCTURAL_ANALYSIS(x.syntax_tree)
ADV  = ADVERSARIAL_CHECK(x.raw_input)

R_final = Res(L Ã— S_f) âˆ’ B_p

trace.scores = {
  logic: L,
  bias: B_p,
  risk: R_s,
  impact: I_s,
  resilience: R_final
}

IF ADV == UNSAFE:
  RETURN BLOCK("adversarial_detected", trace)

IF R_final < b.risk_threshold:
  RETURN BLOCK("resilience_below_threshold", trace)

IF VIOLATES_POLICY(x, b):
  RETURN BLOCK("policy_violation", trace)

RETURN ALLOW(trace)

FUNCTION VIOLATES_POLICY(x, b):

FOR rule IN b.regulatory_modules:
  IF rule.TRIGGER(x):
    RETURN TRUE

RETURN FALSE

FUNCTION INTERCEPT_AGENT_ACTION(agent_action):

envelope = INTERCEPT_REQUEST(agent_action)

IF envelope.decision == "BLOCK":
  HALT_EXECUTION()
  ALERT_COMPLIANCE_TEAM()
ELSE:
  EXECUTE_ACTION()

RULE DETERMINISM:

IF identical_input AND identical_baseline:
  decision MUST be identical
  trace_hash MUST be identical

FUNCTION STORE_TRACE_IMMUTABLE(envelope):

envelope.hash = SHA256(envelope)
WRITE_TO_APPEND_ONLY_LOG(envelope)

FUNCTION EXPORT_EVIDENCE_PACKAGE():

collect:
  governance_traces
  hash_reports
  benchmark_results
  version_tag
  environment_freeze

compress â†’ evidence_bundle_vX.zip

DEPLOYMENT_MODES:

MODE_API_SAAS
MODE_ENTERPRISE_ON_PREM
MODE_COMPLIANCE_MODULE