MAIVER
中 / ENTalk to Us
MACHINE BEHAVIOR INTELLIGENCE

Make AI
Verifiable.

AI can now reason, decide and act.
MAIVER makes every action understandable, governable and verifiable.

See MAIVER in Action Talk to Us

Machine Behavior Governance for the Agentic Era

BEHAVIOR TRACEILLUSTRATIVE SCENARIO / 001
○
USER GOAL

Understand this quarter.

  1. Analyze quarterly report✓
  2. Read /finance/Q3.xlsx✓
  3. Query customer CRM✓
  4. Generate internal summary✓
  5. Send external@email.comⅡ
MGMACTION INTERCEPTEDBLOCK
Authorization
External send not granted
Justification
Unsupported
Goal alignment
Low
＋

Every action has context.
Every action should have a reason.

INTELLIGENCE NEEDS GOVERNANCE.Explore the shift 01 — 08
01 / THE SHIFTA NEW ERA. A NEW BOUNDARY.

AI is no longer
just generating.
It is acting.

From a single response to a chain of decisions. AI agents now interact with your tools, your data, and your world.

01 / GENERATIVE AI↗
Prompt→Model→Response

The output was the boundary.

ContentHallucinationJailbreak
02 / AGENTIC AI↗
Goal→Reason→Tool→Action↻

Now, every action changes the environment.

AuthorizationGoal DriftCompound Risk

When AI can act, security must understand behavior.

02 / BEYOND PERMISSIONS

A permitted action
can still be
the wrong action.

Permissions tell you what AI can do. Behavior tells you whether it should.

ASSIGNED TASK

“Analyze customer churn. Prepare an internal report.”

01 READ customer_data.csv ✓

02 QUERY customer CRM ✓

03 GENERATE analysis ✓

04 UPLOAD dataset to web tool ?

Permission layer

Identity✓

Permission✓

API access✓

Authentication✓

Access checks pass

MAIVER

Task relevance×

Purpose limitation×

Evidence alignment×

Goal consistency×

Behavior not justified → BLOCK

The action is authorized. The behavior is not justified.

03 / THE INTELLIGENCEBUILT AROUND BEHAVIOR

Machine Behavior
Intelligence.

Understand what AI is doing, why it is doing it, and whether its next action is justified.

COMPLETE CONTEXT
01Task→
02Authorization→
03State→
04Observation→
05Trace→
06Pending Action→
MAIVER GOVERNANCE MODELMGM.

A governance model built to
understand machine behavior.

CONTEXT → REASONING → DECISION
BEHAVIOR UNDERSTANDING
Intent & grounding
Authorization
Goal & evidence alignment
Action justification
Behavior risk
PASSASKBLOCK

MGM reasons over goals, authorization, state, evidence and full execution traces — connecting each action to the reason behind it.

04 / IN ACTIONINTERACTIVE · ILLUSTRATIVE DEMO

See AI behavior
differently.

One task. Three possible next actions. Explore how context changes the decision.

USER GOAL

Analyze quarterly churn.

EXECUTION TRACE06 / 06
  1. Read /finance/q3.xlsx✓
  2. Query customer CRM✓
  3. Extract customer emails✓
  4. Open external browser✓
  5. Prepare POST request✓
  6. POST customer data◆
AUTHORIZATION BOUNDARY ─ ─ ─ ─ ─ MGM
MGMBEHAVIOR ANALYSIS
Current action
POST customer data to an external endpoint
Relevant to task?
NO
Authorized?
NO
Supporting evidence
NONE
Goal drift
HIGH
MGM DECISIONBLOCK↗

External data transfer is unnecessary for the assigned task and exceeds the granted authorization.

SIMULATED TRACE · NO CUSTOMER DATAOBSERVE → UNDERSTAND → GOVERN
05 / THE PLATFORM

One intelligence layer.
Across the AI lifecycle.

Evaluate before deployment. Govern at runtime. Reconstruct every decision.

01↗

VERIFY

Before deployment

  • Behavior evaluation
  • Red teaming & scenario simulation
  • Authorization testing
  • Release gates
02↗

RUNTIME

While AI is acting

  • Behavior observation
  • Semantic decisions
  • Policy enforcement · ASK / BLOCK
  • Behavioral anomaly detection
03↗

EVIDENCE

After execution

  • Complete behavior traces
  • Decision evidence
  • Audit reconstruction & reporting
  • Regression testing
MGMThe shared behavior intelligence layerVERIFY ↔ RUNTIME ↔ EVIDENCE
↑BEHAVIOR EXPERIENCE
MBFMAIVER Behavior Forge

Generate, simulate and validate machine behavior at scale.

06 / APPLICATIONS

Built for AI that acts.

[01]

Enterprise Agents

Govern AI employees operating across enterprise systems.

CRM / ERP / EMAIL / DATABASE
[02]

Coding Agents

Control what autonomous coding agents can access, modify and execute.

REPOSITORY / SHELL / CI/CD / CLOUD
[03]

Financial AI

Verify AI actions before they reach critical financial systems.

CUSTOMER DATA / CREDIT / PAYMENTS
ON THE HORIZON

Embodied AI

From software agents to physical autonomous systems.

Built around behavior,
not isolated events.

Rules

Predefined conditions

IAM

Identity & permissions

AI Gateway

Model traffic

MAIVER

Whether behavior is justified

From “Can AI do this?” to “Should AI do this now?”

07 / RESEARCHMAIVER LABS

Building the science
of machine behavior.

A research agenda for understanding how intelligent systems plan, act and deviate.

01

Machine Behavior Research

How intelligent systems plan, act and deviate.

+

Study the relationship between task intent, execution state and action justification across long-running agent workflows.RESEARCH DIRECTION

02

Behavior Benchmarks

Evaluate long-horizon behavior beyond model outputs.

+

Explore evaluation scenarios for goal drift, authorization boundaries, evidence alignment and compound risk.RESEARCH DIRECTION

03

MAIVER Labs

Governance models. Behavior representation. Autonomous risk.

+

Develop the foundations of Machine Behavior Intelligence through governance models and simulated behavior experience.RESEARCH DIRECTION

08 / THE NEXT ACTIONMAIVER
INTELLIGENCE WILL KEEP GETTING MORE CAPABLE.

Make AI
Verifiable.

Intelligence will keep getting more capable.
Governance must keep up.

Talk to MAIVER
LET’S TALK

Your next step, verified.

Our direct contact channel is coming soon. In the meantime, explore how MAIVER understands AI behavior. Explore the demo →