Category: Insights

The AI industry is moving at a pace no enterprise security program can reasonably match. New models are released every month. Benchmarks shift. Providers evolve. Today’s leading model will eventually be replaced by something better. The challenge isn’t that models change. The challenge is ensuring your security operations don’t have to be rebuilt every time […]

Closing the Gap Between Security Strategy and Operational Reality There is a pattern beginning to emerge across security operations teams as AI enters the SOC, regardless of size or maturity. An AI agent is configured to triage cloud alerts in the right way for one business unit. A multi-agent procedure is assembled that reliably handles […]

Earlier this month at Knowledge 2026, Bill McDermott made a statement that immediately caught my attention: “Governance is the real barrier to enterprise AI adoption.” I think he’s right. Over the last two years, the technology industry has been consumed by a race to build AI agents. New models, copilots, orchestration frameworks, and autonomous workflows […]

For over a decade, I worked in application security. Helping companies defend against DDoS, application-layer vulnerabilities, and automated attacks: credential stuffing, web scraping, enumeration, fake account creation. That world shaped how I think about attackers, not as distant, abstract threats but as adversarial teams with their own profit motivations and iteration cycles, their own tooling, […]

The perimeter didn’t disappear. It just stopped mattering. What replaces it, and what that means for the people running SOCs today, is the real question. If you’ve run a SOC for more than a few years, you’ve watched the job quietly transform around you. The tools multiplied. The alert volumes climbed. The dwell time statistics […]

The problem with “AI SOC” Over the past few years, nearly every cybersecurity vendor has claimed to deliver an “AI SOC.” At first glance, that sounds like meaningful progress. Artificial intelligence promises to address alert fatigue, analyst burnout, and the growing scale and complexity of threats. The vision is compelling: machines augmenting human teams, accelerating […]

The next phase of cybersecurity will not be defined by what artificial intelligence can do, but by who can use it faster. Over the past year, two developments have begun to reshape that equation. Systems like Mythos have demonstrated an ability, in controlled settings, to identify real software vulnerabilities in widely used systems. At the […]

How Bricklayer Treats Investigative Knowledge as a System Asset, Not a Prompt Input In every real security investigation, understanding accumulates. One analyst surfaces a signal. Another adds depth. A third brings in external threat context. Decisions get made based on everything that came before. That is how a SOC actually works. Most agentic AI systems […]

Bricklayer AI announces numerous new upgrades and enhanced features in response to customer feedback, product roadmap development. Learn more.

Bricklayer AI announces numerous new upgrades and enhanced features in response to customer feedback, product roadmap development. Learn more.

Bricklayer AI announces numerous new upgrades and enhanced features in response to customer feedback, product roadmap development. Learn more.

Managed Security has never been static. In almost 25 years I’ve built Managed Security at Optiv, run it at MDRs such as Expel, ran architecture teams and enablement for MSSPs…