AI that serves as the base layer of security operations: the layer everything else is built on, directed by the people who own it, rather than a feature bolted onto an existing tool or a point solution for a single task.
Not a feature bolted onto a tool. Not a point solution for a single task.
A foundation carries a durable, living understanding of the environment, remembers and learns from every investigation, applies one reasoning engine across the full security lifecycle, works on data wherever it lives, is open for teams and partners to build on, shows its reasoning at every step, and remains directed by the people who own it. Point AI performs a task. Foundational AI is what the tasks are built upon.
A persistent, living model of the environment: assets, identities, policies, baselines. Every function draws from it. Point AI starts from zero.
Every verdict and outcome is retained, compounds, and feeds back into what it detects next. A foundation that has run millions of investigations is not the one deployed yesterday.
One reasoning engine across detection, investigation, response, hunting, and optimization. Judgment scales, not the rulebook. If it only does one job, it is a tool.
Operates across the environments and stores you already have. No forced migration, no dictating where everything must sit.
Teams and partners extend it: skills that encode expert procedures, tribal knowledge, and entirely new services. A foundation invites construction.
Every step of every investigation recorded and inspectable. A foundation you cannot audit is one you cannot trust anything on top of.
You set the guardrails, define what it acts on versus escalates, and lead strategy. Autonomous in execution, human in direction.
Remove it and see what happens. If you can swap it out and nothing else changes, it was a tool. If things built on top of it stop working, it was a foundation. Nobody swaps out a foundation, because everything sits on it.
Cloud infrastructure. AWS did not sell a better server, it sold the layer companies built their businesses on. The same distinction is emerging in AI security: most vendors are selling appliances. The question no one has asked yet is who is pouring the foundation.
It is an architectural distinction, not a feature list. It describes where AI sits in the stack: at the base, with other capabilities built on top, rather than bolted onto a single workflow. Categories like AI SOC describe what the AI does. Foundational describes what role it plays.
No. Foundational means load-bearing. It is what the rest of the operation stands on. The seven defining properties (context, memory, intelligence, data reach, extensibility, transparency, human direction) are what separate a foundation from a starting point.
A copilot assists a person with a task. A triage tool performs one function. Both are point solutions: useful, but interchangeable. Foundational AI carries persistent context and memory across every function, and teams build on it rather than just use it. Apply the litmus test: if you can swap it out without anything breaking, it is not foundational.
No. Human direction is a defining property, not an afterthought. The foundation handles non-human work at machine speed so analysts can do the work that requires human judgment: hunting, complex investigation, strategy. People decide what the AI knows, what it is allowed to do, and what gets built on it.
No. Meeting data where it lives is a defining property. A foundation operates across the environments and stores you already have, rather than requiring consolidation into one place first.
Because everything else depends on it. When detection, response, and new capabilities are built on an AI layer, an unexplainable decision at the base compromises everything above it. A foundation has to show its work: every step recorded, every conclusion traceable, so analysts and auditors can verify the reasoning rather than take it on faith.
Test it against the seven properties:
If the answer to any of these is no, it is a tool, not a foundation.
Each property maps to a named part of the platform: context to Enterprise Insights, memory to the investigation corpus and the agentic flywheel, intelligence to the agent architecture, data reach to Federated SIEM, extensibility to Skills and 7AI Build, transparency to the glass box, and human direction to PLAID. Built by Cybereason co-founders Lior Div and Yonatan Striem-Amit, proven across 9M+ alerts since February 2025, with $166 Million Total Funding.