NODE MS-R01 DOMAIN SOVEREIGN AI CONTROL MODEL LEAST AGENCY STATE ACTIVE

RESEARCH NODE MS-R01

MAYUR SINHA

Principal Security Architect

Sovereign AI Security / Agent Runtime Control / Adversarial Systems Engineering

Building the control infrastructure for autonomous systems.

My work connects the lowest levels of machine execution - malware deconstruction, protocol behavior, and systems infrastructure - with the highest levels of AI governance.

I design bounded-authority runtimes, MCP trust controls, execution replay, identity boundaries, and fail-closed intervention paths. In practical terms, containment means an autonomous system remains observable, interruptible, and unable to exceed its delegated authority.

My long-term direction is to turn this research into sovereign control infrastructure for AI execution: systems designed to remain accountable under uncertainty and resilient under adversarial pressure.

AI BOUND
AUTH_KERNEL / 01 52.520N AUTHORITY_SCOPED
15+ YEARS ADVERSARIAL SYSTEMS MODE BUILDER / ARCHITECT VECTOR SOVEREIGN AI STATE ACTIVE

00 / OPERATING RECORD

BUILT UNDER PRESSURE

15+ YEARS IN THE FIELD

Security engineering across global edge platforms, malware defense, high-growth SaaS, and regulated financial infrastructure.

01 FIRST SECURITY HIRE

First security hire, security function builder, team lead, hands-on architect, and organization-wide security program owner.

360 DEGREE OPERATING SCOPE

Security strategy, AI and agent security, cloud controls, detection, vulnerability management, and incident response.

01 / ACTIVE RESEARCH

CONTROL SURFACES

PROGRAM_01RISK / CRITICAL

Agent Authority

Bounded trust models, MCP guardrails, runtime policy enforcement, and kill paths for non-deterministic agent pipelines.

  • LEAST AGENCY
  • MCP
  • RUNTIME POLICY
PROGRAM_02RISK / ADVERSARIAL

Adversarial Execution

Zero-trust execution boundaries, replay harnesses, and forensic state reconstruction across distributed systems.

  • REPLAY
  • ZERO TRUST
  • FORENSICS
PROGRAM_03DEPTH / MACHINE

Systems Primitives

Low-level execution analysis and protocol hardening across Go, C, C++, Assembly, and CUDA environments.

  • PROTOCOLS
  • MALWARE
  • LOW LEVEL

02 / DEPLOYED THINKING

ACTIVE SYSTEMS

01 MCP VISORRuntime policy enforcement and audit control plane for MCP tool execution. GITHUB /> 02 MCP SECURITY EVALUATORTrust-boundary, tool-metadata, and agent integration risk evaluation. GITHUB /> 03 ADVERSARIAL ML LABHands-on environment for adversarial machine-learning attack and defense. GITHUB />

03 / ENGINEERING BASE

EXECUTION DEPTH

Languages
Go / Python / C / C++ / Assembly / CUDA
Domains
Agentic Security / Malware Deconstruction / Edge Defense / Distributed Systems / Protocol Security
Control Models
Least Agency / Bounded Trust / Zero Trust / Runtime Governance / Continuous State Reconciliation

04 / LATEST TRANSMISSIONS

RESEARCH SIGNALS

  1. Three Trust Paths for Governing AI Agent Architectures ARCHITECTURE NOTE />
  2. MCP Visor: Runtime Policy Enforcement ARCHITECTURE NOTE />
  3. Why grinding is a self-inflicted DDoS ARCHITECTURE NOTE />