Capabilities | Akamai Intelligence Group

AIG's core capability is governance architecture for multi-agent AI systems. We design, implement, and empirically evaluate frameworks that keep distributed AI collectives controllable, auditable, and resilient under adversarial conditions — with human authority preserved at every decision layer.

All capabilities are delivered as research artifacts, evaluation frameworks, and architectural specifications. AIG is an independent R&D laboratory — not a software vendor, SaaS provider, or systems integrator.

Core Research Capabilities

Governed Multi-Agent Coordination Architecture

Design and empirical evaluation of governance frameworks for heterogeneous AI agent collectives. Covers role-bounded authority, sparse typed communication, provenance tracking, adversarial integrity, and constitutional override under contested conditions. Primary alignment: DARPA DICE program.

Adversarial Resilience Evaluation

GAL Benchmark Suite — 46+ evaluation scenarios covering authority escalation, coordination collapse, hidden coalition formation, hallucination cascades, Byzantine fault injection, mimicry attacks, constitutional drift, and split-brain governance failure. Formal benchmark results available (GAL-040B through GAL-046).

Causal Governance Auditing

Concept-level causal discovery pipeline for LLM governance decisions. 28-dimension binary activation vector system mapping agent decisions to governance concept states. PC-algorithm and HillClimb DAG inference on MCMC-augmented counterfactual datasets. Produces directed causal graphs of governance concept dependencies.

Governed RF Analysis & Edge Experimentation

LUC-adjacent governed RF workflow tooling. Bounded modulation classification, FEC code-family identification, GRAND-inspired lab experiments, controlled decoder wrapper audits, and adaptive decoder broker architecture. Offline dry-run default — no live RF capture, no transmit, no protected payload recovery.

Distributed Governance Cognitive Architecture (DGCA)

Formal systems specification for governance-first distributed AI. Covers context-governed collective behavior, local inference, sparse activation, role boundaries, provenance, and adversarial integrity as first-class architectural controls. Validated against 500-node logical agent deployments under local test conditions.

Demonstrated Scale

101

Named Doctrine-Bearing Operators

500

Governed Logical Agents (Local Harness)

46+

GAL Evaluation Scenarios

0.12%

Target Communication Path Density at Scale

NAICS Codes

541715 Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

541511 Custom Computer Programming Services

541512 Computer Systems Design Services

541690 Other Scientific and Technical Consulting Services

Business Classification

For capability inquiries, partnership discussions, or technical review requests contact: christopher@aig-intel.dev