AI Engineering Services · Independent Research

Secure AI agents before they touch your business.

DLYog Lab builds the control, evaluation, and software layers that let AI agents work with enterprise tools and data—without giving them unchecked authority.

Available now: AI-native enterprise software engineering and secure agent deployment services. In parallel, our lab is validating a focused agent-security product strategy in stealth.

Agent identity Least privilege Tool-use controls Adversarial evals Audit & recovery

What DLYog Lab does

We secure the agent—and engineer the software around it.

Our focus is not another chatbot. It is the operational layer between an AI agent and the systems, code, data, and decisions a business cannot afford to lose control of.

Available AI service

Agentic AI Security Engineering

Design controls for agents that browse, code, call tools, access data, or change business systems.

  • Agent threat model, identity, ownership, and access map
  • Tool allowlists, least privilege, approval gates, and action limits
  • Prompt-injection, privilege-abuse, and tool-misuse evaluations
  • Runtime monitoring, audit evidence, containment, and kill switches

Outcome: an agent deployment with bounded authority and observable behavior.

Available AI service

AI-Native Enterprise Software

Build internal utilities and workflow software quickly with modern coding agents—then make the result maintainable.

  • Custom enterprise and operational utility software
  • Requirements, architecture, documentation, and repository change evidence
  • Automated tests, AI evals, security checks, and deployment controls
  • Ongoing maintenance, support, and controlled enhancement

Outcome: AI-built speed without orphaned, opaque, or ungoverned software.

Vibe coding makes a demo easy. Operating it safely is the hard part.

DLYog Lab adds the engineering discipline between generated code and a durable business system: ownership, tests, security, change history, deployment, and support.

Defense at the point of action

Control what an agent can see, decide, and do.

Agent security is a system problem—not a prompt. We combine AI-based behavioral supervision with controls that do not depend on a model choosing to behave.

Identity

Give every agent a named owner, scoped identity, and attributable action history.

Authority

Limit tools, data, actions, spend, duration, and environments by explicit policy.

Evaluation

Challenge agents with realistic attacks, unsafe requests, and workflow failures before release.

Recovery

Preserve evidence and provide escalation, pause, rollback, and shutdown paths.

Our research direction is informed by emerging work on agent goal hijacking, tool misuse, identity and privilege abuse, and rogue-agent behavior from OWASP and agent identity and authorization work from NIST.

Customer evidence

AI engineering service provider to EnlitenAI

DLYog Lab provides AI research, model engineering, evaluation, and development services supporting EnlitenAI's AI-enabled seizure-management work. EnlitenAI owns and operates its healthcare product and its clinical, regulatory, and product decisions.

Read the authorized partnership announcement

DLYog Lab research program

Agent security leads. Frontier tools keep the lab looking ahead.

We use independent research to develop reusable technical insight, publish what we learn, and test difficult ideas before they become ordinary engineering problems.

Flagship research · Product direction in stealth

Agentic AI Security & Control

We are researching supervisory agents that challenge other agents and detect risky intent—paired with deterministic policy enforcement, scoped identity, action evidence, and recovery controls. This work is informing a focused product strategy that we are validating privately before making public product claims.

Discuss the research

Research questions

Can one agent detect another agent's drift?Behavioral review, intent challenges, and cross-model disagreement.
Where must deterministic policy take over?Permissions, approvals, budgets, and irreversible actions.
How do we prove controls keep working?Adversarial evals, regression evidence, audit, and recovery testing.
Drug discovery educationLive platform

Deep2Lead

A hands-on learning platform for exploring drug discovery from atoms to AI-designed candidates, real tradeoffs, and the potential role of quantum computing.

Explore Deep2Lead ·Read the paper
Quantum toolingHackathon prototype

1StopQuantum, powered by SUMI

An OpenAI hackathon prototype exploring tools that help quantum algorithms work with existing software systems as quantum computing matures.

View on Devpost
Long-horizonExploratory

ML4EDA

Exploring natural-language, machine-learning, and agentic workflows that may make custom silicon design more accessible.

Follow DLYog Lab research

Products & licensing

Focused platforms available for strategic partnership.

These products extend our technical portfolio without defining the company around a single use case.

Education AIInvite-only productLicensing

AI4Echolalia™

A caregiver-support product for use between speech-language therapy sessions, developed from DLYog Lab's second-place TED AI San Francisco Hackathon concept. It is no longer our primary company focus, but remains available to existing and invited users and for licensing or strategic partnership discussions.

Open AI4Echolalia
Synthetic dataPrivate previewLicensing

SynYog AI

A synthetic-data and model-development platform with LLM-assisted schema generation, multimodal processing, regression training, evaluation, and API inference.

Explore SynYog AI

Insights & updates

Follow what DLYog Lab is learning and building.

We use the Blog for periodic research and engineering notes, and Podcasts for conversations and YouTube episodes about our work and the wider AI landscape.

AI for Good remains our compass

Useful AI should be secure, open, and accessible.

DLYog Lab is an educator-founded California AI research, development, and consulting company. We pursue independent research, contribute reusable work where practical, and help organizations use AI without surrendering accountability.

In-house AI labDGX Spark, RTX GPU systems, and Apple Silicon.
Model-neutral engineeringFrontier, open, and local models selected for the task.
Open contributionResearch and reusable work shared with the community.

Build with control

Planning an AI agent that can take real actions?

Tell us what the agent can access, which tools it can call, and what the business cannot allow it to do. We can help design the controls—or engineer the complete software system around it.

Talk to DLYog Lab