Networked and distributed systems
How can asset identity, connectivity and protocol behavior support a reliable model of infrastructure?
This work informs the questions we ask about relationship sources, changing systems and missing context.
Research and teaching.
Our research interests span networked systems, adversarial methods, cryptography and AI. Explore the questions below and the teaching resources that put these subjects into practice.
Four questions we keep coming back to.
Adversarial methods
What would challenge a security conclusion before an operator relies on it?
Attack paths, deception and mechanism design offer ways to examine assumptions and competing explanations.
Cryptography and PQC transition
What evidence is needed to plan a cryptographic transition?
Inventory, protocol behavior, interoperability and migration risk connect cryptographic research to practical readiness questions.
See the PQC planning view →AI/ML in consequential environments
How do learning systems behave under clinical, operational and security constraints?
Privacy, reliability and human authority shape the methods and the limits of their use.
Put the research in context.
Breakwater ASOC
The connected operations security platform follows the path from asset and exposure intelligence through evidence provenance to controlled response.
Explore the ASOC overviewPoC planner
Define a proof of concept: footprint, data boundaries and responsibilities to review with your team.
Build an evaluation briefCyber Analytics teaching resources.
The Cyber Analytics curriculum reflects work Nagu Thogiti has taught in MIT and GWU settings. It moves from discovery and enrichment through attack graphs, digital twins, PQC, federated intelligence, supply chain, deception, formal methods, and remediation.
The resources use instructional demonstrations and simulations. Their examples are distinct from production evidence.
Cyber Analytics
A twelve-part learning system for security under uncertainty.
Explore the course ↗Breakwater MCP
Examine network evidence and attack paths in a learning environment.
Open MCP ↗Bring a question worth investigating.
We welcome conversations about cyber analytics, distributed systems, cryptography, trustworthy AI and operational assurance.
Request a demo →