Nutan Navsariwala's Work | ContraWork by Nutan Navsariwala
Nutan Navsariwala

Nutan Navsariwala

Investigative & Technical Writer | AI, Cyber, Climate

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Cover image for AI Slowdown: Safety or Strategy?
AI Slowdown: Safety or Strategy? Anthropic's CEO asked for AI development to be paced. Nvidia's CEO pushed back. The headlines called it "safety versus speed." The evidence is more complicated. This 5-page brief separates what each side actually said, how chip and cybersecurity stocks moved on the same day, and why antitrust law and China make any slowdown plan hard to design. It ends with four guardrails for a narrow, time-limited safety framework. Facts, attributed claims, and my own analysis are kept separate, so you always know which is which. Made for: founders, security and policy teams, and content leads who need a clear, sourced read fast. Need a brief like this on your topic? Message me.On here
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Cover image for When the “User” Is an
When the “User” Is an AI Agent: A Zero Trust Case Study This independent research case study looks at what changes when an AI agent moves beyond answering questions and starts taking actions through tools, APIs, workflows and enterprise systems. Using public cyber-threat reporting and Zero Trust principles, the report examines why AI agents need to be treated as a new type of non-human identity, with limited, traceable and revocable access. The research focuses on practical questions security leaders need to ask: What is the agent’s identity? What can it access? What can it change? How is its activity monitored? And who can stop it when something goes wrong? The case study covers AI-agent identity, least-privilege access, segmentation, continuous verification, monitoring, access revocation and human control. It also demonstrates my approach to cybersecurity research: finding and checking sources, connecting emerging threats with established security principles, turning technical issues into clear analysis, and presenting the findings in a way that business and security leaders can understand. This sample is intended for security teams, CISOs, risk leaders and technology executives looking for clear, evidence-based research on AI security, Zero Trust, identity and access management, and emerging cyber risk.
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Cover image for The Supply Chain Beneath the
The Supply Chain Beneath the Supply Chain Evidence-Based Supply Chain Risk Research How hidden upstream dependencies can make a diversified supply chain much less resilient than it appears. A company can have four suppliers for the same critical component and still have a serious supply problem. Why? Because those four suppliers may depend on the same upstream material, manufacturing process, piece of equipment, or geographic region. That is the question behind this SourceTrace research project: When we look beyond the suppliers we can see, how many genuinely independent supply routes are actually left? What I investigated I looked beyond the usual Tier-1 supplier view and traced where critical dependencies can come together further upstream. The research examines: Why having more suppliers does not always mean having more independent supply routes How several suppliers can share the same hidden upstream dependency Semiconductor supply chains and concentrated manufacturing equipment Pharmaceutical supply chains and concentrated upstream inputs How one upstream disruption can affect many companies at the same time Why technology lock-in, qualification requirements, capital costs and geography create hidden bottlenecks When deeper supply-chain research is worth the time and money What boards and risk teams should ask before assuming a supply chain is truly diversified The research approach I did not try to map every company and every supplier in a global supply chain. Instead, I used selective depth. The idea is simple: Keep tracing a critical dependency until the information can change a real decision — such as finding another supplier, increasing inventory, redesigning a component, or accepting the risk. The research was then turned into dependency maps, evidence cards, industry examples, comparison tables and practical questions for decision-makers. The central finding Supplier count is not the same as dependency count. Four suppliers may look safer than one. But if all four ultimately depend on the same upstream constraint, the apparent diversification can disappear when that constraint fails. This is what I call common-mode exposure: different suppliers can be affected by the same problem because they share part of the same upstream system. What I created Evidence-based research paper Multi-tier supply-chain dependency maps Semiconductor and pharmaceutical case analysis Supply-chain risk framework High-value vs. low-value mapping matrix Executive and board-level questions Visual evidence cards and comparison tables SourceTrace research methodology My role Researcher + Investigative Writer I researched the evidence, followed the dependencies beyond the obvious supplier relationships, tested the assumptions behind conventional diversification, and turned the findings into clear, visual and decision-focused research. The goal was not to make the supply chain look more complicated. It was to show where the real dependency sits. SourceTrace principle: Truth before persuasion. Evidence before opinion.
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Cover image for Greenwashing Risk for Mid-Size &
Greenwashing Risk for Mid-Size & SaaS Companies How Weak Environmental Claims Create Commercial and Regulatory Exposure Environmental claims are no longer just a marketing issue. For mid-size and SaaS companies, a simple phrase such as “sustainable,” “eco-friendly,” or “carbon neutral” can create regulatory and commercial risk when the evidence behind it is weak or incomplete. This Source-Trace white paper investigates how greenwashing risk is changing across the UK, US, and EU, and what businesses can do to make their environmental claims more defensible. What I researched and developed Investigated the regulatory landscape for environmental claims across the UK, US, and EU Examined primary regulatory guidance, enforcement records, court decisions, and agency sources Analyzed real-world cases involving environmental claims and misleading marketing Identified 7 recurring claim patterns that can create compliance problems Developed a 6-level evidence scale for evaluating environmental claims Created a practical 9-point pre-publishing checklist Built guidance for turning broad environmental statements into specific, evidence-backed claims Developed recommendations for founders, marketing, legal, compliance, and sales teams Designed evidence tables, case-study analysis, and practical decision frameworks My Role I worked as the investigative researcher and sole author, taking a complex and evolving regulatory subject and turning primary-source research into a practical business-risk framework. SourceTrace Investigative Research & Writing Author: Nutan Navsariwala, Founder The project demonstrates my ability to connect environmental regulation, evidence, commercial risk, and clear communication, and to turn complex research into useful decision-making tools. Full whitepaper: [Link will be added here]👇
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