Summary
The Security Industry | Richard Stiennon, authored by industry analyst Richard Stiennon, provides comprehensive, data-driven analysis of the cybersecurity sector. It offers in-depth coverage of vendor trends, AI security integration, market growth, and critical assessments of major cybersecurity players, serving as a vital resource for professionals and investors.
Key Focus Areas:
- AI in Security: Stiennon tracks the rapid adoption of AI, predicting that AI security tools will merge into all standard security products rather than remaining a standalone category by 2026.
- Market Analysis: In-depth reports on $10B+ cybersecurity giants, with analysis on sectors like cloud security, SOC automation, and network security.
- Industry Trends & History: Covers the evolution of security vendors, including histories of major industry players and analysis of market trends like, mergers, and acquisitions.
- Education and Careers: Advocates for vocational training and vendor-specific certifications over traditional 4-year degrees for building a career in cybersecurity.
Key Content & Themes:
- Vendor Analysis: Detailed breakdowns of companies such as Palo Alto Networks, Crowdstrike, and Wiz.
- AI Security Market: Tracks the rise of specialized AI security vendors (over 160 identified) and SOC automation tools.
- Data-Driven Insights: Uses “Security Yearbook” research to provide, evidence-based insights into the growth and shifts in the cybersecurity industry.
Target Audience:
- Cybersecurity professionals, CISOs, and practitioners seeking to understand industry shifts.
- Investors and entrepreneurs interested in market trends, funding, and growth areas.
The newsletter acts as a continuation of Stiennon’s extensive research (including the Security Yearbook), providing a critical, forward-looking perspective on the rapidly evolving cybersecurity landscape.
News
When Vint Cerf, the father of the internet, posts a link with “Thought-provoking read on AI Impact.,” you read it.
What he linked to is a blog post by Matt Shumer that follows on from numerous such posts from those creating the AI revolution. There is a feeling in the air that the Intelligence Explosion is nigh.
In other words, the scenario that I wrote about last April is happening right on schedule. In the AI 2027 report it was projected that by 2026 AI would be used more and more to create the next LLMs. As Shumer notes that is exactly what happened in the creation of OpenAI’s latest model, 5.3 Codex.
Shumer attempts to convey the rapid progression of AI models:
In 2022, AI couldn’t do basic arithmetic reliably. It would confidently tell you that 7 × 8 = 54.
By 2023, it could pass the bar exam.
By 2024, it could write working software and explain graduate-level science.
By late 2025, some of the best engineers in the world said they had handed over most of their coding work to AI.
On February 5th, 2026, new models arrived that made everything before them feel like a different era.
