CMIS 2026 - CANONICAL GOVERNANCE SPECIFICATION
(Single Source of Truth for Website, NSF, Enterprise, Audit)

SYSTEM CMIS_2026

CONST SYSTEM_IDENTITY =
"CMIS is a Constitutional AI Middleware that verifies AI decisions
before they are allowed to exist."

CONST CORE_PRINCIPLE =
"Decision precedes generation."

CONST CORE_EQUATION_LINGUISTIC = "y = m(x) + b"
CONST CORE_EQUATION_GENERAL = "p = Σ(v_i × x_i) + a"
CONST RESILIENCE_FORMULA = "R_final = Res(L × S_f) − B_p"

SECTION 1 - INPUT INTERCEPTION LAYER

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)

SECTION 2 - CONTEXT CONSTRUCTION (x)

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

SECTION 3 - CONSTITUTIONAL BASELINE (b / a)

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

SECTION 4 - DETERMINISTIC GOVERNANCE ENGINE

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 × S_f) − 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)

SECTION 5 - POLICY-AS-CODE LAYER

FUNCTION VIOLATES_POLICY(x, b):

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

RETURN FALSE

SECTION 6 - AGENTIC AI CONTAINMENT (2026 CRITICAL)

FUNCTION INTERCEPT_AGENT_ACTION(agent_action):

envelope = INTERCEPT_REQUEST(agent_action)

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

SECTION 7 - DETERMINISM RULE

RULE DETERMINISM:

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

Governance layer contains no stochastic components.

SECTION 8 - TRACE & AUDIT EXPORT

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 → evidence_bundle_vX.zip

SECTION 9 - DEPLOYMENT MODES

DEPLOYMENT_MODES:

MODE_API_SAAS
MODE_ENTERPRISE_ON_PREM
MODE_COMPLIANCE_MODULE

FINAL SYSTEM STATEMENT

CMIS does not generate.
CMIS authorizes generation.
CMIS enforces governance before capability.
CMIS provides deterministic, auditable control
in a probabilistic AI ecosystem.

END SYSTEM