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What is foundational AI security?

Security has an application layer. Now it has a foundation.

7AI is the foundational AI security company.

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Foundational AI security, defined

Foundational AI security is the layer security operations run on: production grade AI agents that detect, investigate, respond, and hunt, grounded in your own environment, with humans on the loop. It is the layer underneath the security stack, the way a foundation model is the layer underneath ChatGPT or Claude. One foundation, used three ways.

The question we kept getting

"What is 7AI?" Every answer described what we do. Not where we sit.

AI SOC
One thing we power. Not what we are.
Agentic security
True, but it names the technology. It sounds like a category, not a company.
Investigations
Where teams start. The entry point, not the only point.
A different lens

Look at the companies defining this era. build what's next.

Nobody calls OpenAI or Anthropic a chatbot company or an API vendor. The model is the foundation. Everything else is an application of it, and how you interface with it depends on what you are after.

01
Use the app
ChatGPT, Claude. You open it and use it directly.
02
Access the model
Reach it through the API and put it to work in your own flow.
03
Build on it
Whole products, businesses, and services built on top.

Security has never had that layer. So we built it.

Why it is a foundation

AI alone isn't enough. Tools alone aren't enough.

AI STACK ENVIRONMENT

Three things have to come together.

A model on its own can reason but cannot act in your world. Your tools can act but cannot reason across them. The foundation is where AI, your security stack, and the live knowledge graph of your environment meet.

  • AI agents that reason and act
  • Your existing security stack
  • The knowledge graph of your environment

7AI is what puts them together.

What changes on top of it

Investigations are the entry point. Not the only point.

The first thing the foundation does is take alert triage and investigations off your team. That alone is a relief. The bigger change is what a foundation makes possible once it is there.

01
Data where it lives
Because the agents reach data where it already sits, you can stop forcing everything into a SIEM first. 7AI Federated SIEM is the capability that lets agents search and correlate across sources without centralizing them, available to design partners today.
02
Time to get proactive
With triage handled, analysts get hours back. Teams move off the back foot. The same people who were clearing a queue start hunting, tuning, and getting ahead of the threat instead of chasing it.
03
The work expands
Threat hunting. Detection optimization. Then the next adjacency, and the one after that. Each new capability stands on the same foundation, so security keeps getting better without bolting on another disconnected tool.

That is what makes it foundational, not just a faster SOC.

Where every team starts

Watch an investigation run.

Investigations are the entry point, so start there. Here is one from start to finish: the mission, the agents that swarm it, the tools they reach, the query they write, and the conclusion they reach. When it lands, ask it anything.

Investigation #4471 · Reported phishing, finance team Running
Ask this investigation
Questions unlock when the investigation finishes.

How it relates to an AI SOC

An agentic SOC is what you operate. The foundation is what it runs on.

The foundation

Foundational AI security

The production grade AI agents that detect, investigate, respond, and hunt, grounded in your environment. The layer everything is built on.

The operating model

The agentic SOC

How a team puts those agents to work day to day, alongside human analysts who direct the agents and stay on the loop for the calls that matter.

Read: What is an AI SOC?

And it is already real

This is not a pitch for what we could be. It is the foundation already.

7M+
Alerts processed in production by the 7AI platform
521 yrs
Analyst-years given back (1,043,498 hours saved)
$59.9M
SOC productivity reclaimed since February 5, 2025
$166M
Total funding behind the foundation
In the Field

Real Teams. Real Results.

The people closest to the risk, on what changed once 7AI joined the team.

Right off the bat we've seen an 80% reduction in tier 1 analyst time. As those tickets progressed through the funnel, we've seen easily a 95-99% reduction in the tickets that human beings have to look at. Incredible outcome. We believe this is the world’s largest, most successful AI SOC deployment.

Michael-Baker-Vice-President-IT-CISO-DXC-Technology-scaled
Mike Baker
CISO of DXC Technology

I’ve envisioned this for five years – AI handling the mundane alert triage so my team could focus on creative, strategic security work. 7AI made it real, scaling our team's capacity 10x and freeing analysts from burnout to work on the interesting challenges that actually matter.

Kyle Kurdziolek
Kyle Kurdziolek
VP of Security at BigID

We believe the future of cybersecurity lies in leveraging AI to not only augment human capabilities but also to fundamentally reshape how security operations are conducted. This is not just incremental improvement; it’s a reinvention of how we protect our organization in an increasingly complex threat landscape.

benjamin-dulieu
Benjamin Dulieu
CISO & CIO of Duck Creek Technologies

We started looking at 7AI a few months ago and in my mind...this totally makes sense, this is the future. The proof is in the pudding – it doesn't take very long. Within the first few weeks, you're going to know. This is not an ERP implementation.

jason-thomas
Jason Thomas
CIO at Cole, Scott & Kissane

We know our teams divide their time on “run, grow and transform” activities. What drew me to 7AI was the vision that AI agents could handle the 'run' work – the endless alert triage – so my team could focus on 'grow and transform' work. Since implementing 7AI, we've changed how our security team operates, with people spending their time on strategic work instead of sorting through noise.

bill-brown
Bill Brown
CISO & CIO of Abacus Insights
dxc-technology-1 Logo_BigID Gray-Pink Horizontal Logo_Duck-Creek cole-scott-kissane-p-a-us-36517 abacus-insights dxc-technology-1 Logo_BigID Gray-Pink Horizontal Logo_Duck-Creek cole-scott-kissane-p-a-us-36517 abacus-insights
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The platform in 90 seconds

A fast product overview: an investigation running end to end inside 7AI, from alert to verdict, showing where the agents do the work and where the human stays on the loop.

PRODUCTION BRIEF: Wistia embed. Product walkthrough of the live platform UI with voiceover. Quick and concrete, no talking-head required.

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The people on the loop

The foundation gives people their time back. The image should show that: real analysts and engineers doing strategic human work, not a faceless SOC.

PRODUCTION BRIEF: Uniquely Human series. Black and white, real people, visible faces. Never a hand, a silhouette, or a lone figure from behind.

Common questions

Foundational AI security, answered.

It is the layer security operations run on: production grade AI agents that detect, investigate, respond, and hunt, grounded in your own environment, with humans on the loop. It is the layer underneath the security stack, the way a foundation model is the layer underneath ChatGPT or Claude. Tools, consoles, and managed services are applications. Foundational AI security is the foundation they sit on.

Because the analogy that fits is the one from AI itself. Nobody calls OpenAI a chatbot company or Anthropic an API vendor. The model is the foundation, and ChatGPT, the API, and the businesses built on top are all applications of it. Security never had that layer. 7AI built it: one foundation of AI agents that security operations are built on, used three different ways.

It depends on how you want to interface with it. Run the platform yourself, where your team operates the agents directly. Have it delivered as a fully managed service through PLAID ELITE, with dedicated AI Security Engineers and 24x7 overwatch. Or build on 7AI, where partners and teams build their own services on top, including their own MDR. One foundation, three ways to use it.

No. Investigations are the entry point, not the only point. Taking alert triage and investigations off the team is the first thing the foundation does. Because the agents reach data where it lives, teams can rethink forcing everything into a SIEM. And once analysts get hours back, the same foundation extends into threat hunting, detection optimization, and the next adjacency. The work keeps expanding on one foundation.

An agentic SOC is what you operate. Foundational AI security is what it runs on. The agents that detect, investigate, respond, and hunt are the foundation. An agentic SOC is the operating model that puts those agents to work alongside human analysts.

No. Foundational AI security is a force multiplier, not a replacement. The agents take on the high volume, repetitive work so human experts can focus on judgment, edge cases, and the work only a person can do. Humans stay on the loop and set the intent.

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