Information security, data confidentiality, compliance frameworks, and AI governance for enterprises.

Data security
Regulation gets treated as a negative in most company analysis. But regulation also creates moats that are almost impossible to replicate through market competition alone.

Company analysis
Companies that pass strict compliance screens tend to exhibit characteristics that conventional quality investors also look for. Low debt, diversified revenue, strong governance. This overlap is not a coincidence.

Company analysis
Security headers are the unglamorous plumbing of the web. A company that invests in them is investing in things that only matter if you care about doing things right.

Business intelligence
Point-in-time company analysis misses what changes between reviews. Continuous monitoring of job postings, reviews, news, and filings catches meaningful shifts as they happen.

Artificial intelligence
AI systems now flag SEC filing anomalies in seconds, giving equity researchers an early warning edge that traditional analysis simply can't match.

Data security
Christian investing operates in a space where conviction runs deep but consensus is elusive. The result is a range of approaches that share common roots but diverge meaningfully in practice.
One short email when something new goes up. Practical, no fluff, written by the people who build.
Free. Unsubscribe any time. Privacy policy
Competitive intelligence
Pricing page updates, new landing pages, navigation changes. Every website update reflects a strategic decision. Here is how to read them.

Competitive intelligence
Competitive intelligence is research, not espionage. Here is where the legal line sits and why staying well inside it produces better analysis than crossing it.

AI agents
Agentic AI creates security problems that existing cybersecurity architectures were never designed to handle. Prompt injection, autonomous data access, supply chain attacks on agent skills, and the inability to enforce purpose limitations are all active threats in production systems today.

Data security
The EU AI Act becomes fully applicable in August 2026, establishing risk-based obligations that affect how companies deploy AI across Europe.

Data security
Preventing AI data leakage requires strict data isolation, output filtering, and monitoring to ensure sensitive information stays within authorized boundaries.
23 articles