Six-Time CISO Jim Routh on Why Executive Protection Needs a Digital Immune System

The average eCrime breakout time, the gap between an attacker getting into a network and moving deeper into it, fell to 29 minutes in 2025, down from 48 minutes the year before. The fastest breakout CrowdStrike recorded was 27 seconds. Attacks from AI-enabled adversaries jumped 89% year over year. Those numbers come from the CrowdStrike 2026 Global Threat Report, and the conclusion behind them is blunt: AI is making the adversary faster.

Twenty-nine minutes. Most security tooling was built to feed information to a person, who reads it, adds context, and reacts. As Routh put it, “humans don’t work 24 hours a day. They take PTO time and they don’t react that quickly because they try to understand data.”

So if an attack finishes faster than a human can read the alert, what does that mean for how security actually gets done? Routh’s answer: the human-in-the-loop model is running out of road. The speed of the attacker, he said, is “making that obsolete.”

Borrowing the Body’s Playbook

Routh’s framing comes from biology. Your body doesn’t book a doctor’s appointment before it fights off an infection. It detects something foreign, produces antibodies, and neutralizes the threat. The person it’s protecting never decides any of it. That, Routh argues, is the model security needs now.

“A digital immune system is similar to the way the human body protects itself against bacteria and virus to where antibodies are created to attack both. And the whole immune system operates without a conscious decision of the person.”

— Jim Routh

How a Digital Immune System Actually Works

Strip the biology away and you get three moving parts: a baseline, a deviation, and a response. The system learns what normal looks like for a given person or asset, using whatever attributes it can measure, mostly online activity. When live data drifts past a set numerical threshold, that crossing fires an automated workflow. No analyst reads it first.

That is the core premise. In Routh’s words, “the best technology today regardless of the use case, is based on a premise that pattern deviation triggers a response.”

This is the part that makes it scale. “Math and computers do this really well, a lot better than people… they’re not in the critical path for the remediation work or the protection work.”

The human doesn’t disappear. They move. Instead of sitting in the path of every alert, the cyber professional steps back, watches trends, and tunes the system. Routh’s example: a trigger set at 74 gets reviewed, and “we’re going to move it up to 76, or we’re going to move it down to 61.” The person adjusts the threshold. The machine runs the response. They’re out of the critical path, still in the loop.

Notice what the system runs on: a single number that captures how exposed someone is. That’s the same idea behind the risk score VanishID assigns to every person it protects. A baseline you can measure, watch, and drive down.

Why This Matters Most for Executive Protection

This isn’t only a SOC story. It maps onto executive protection, and arguably fits it better. An executive’s digital footprint, plus their family’s, throws off exactly the kind of signal a pattern-deviation model needs: data broker listings, breach records, social activity, home address and property data.

Routh’s view is that the old wall between professional and personal exposure has fallen. “CISOs today and cyber security professionals have to recognize that there’s a broad and diverse digital footprint that goes into the calculus of the threat actor and has to also go into the calculus of the enterprise protector.”

Doing that monitoring by hand, for every executive and every family member, doesn’t scale. Automate it and you get something a security leader can act on:

From Concept to Working System

The system Routh describes, continuous, automated, humans out of the critical path, a risk score for each person, is what VanishID’s agentic AI already does for digital executive protection.

VanishID’s engine runs continuous reconnaissance across the public, deep, and dark web. It scores exposure and removes it, without waiting on a security team to triage. The reason that matters shows up in VanishID’s own research: 93% of US executives have their home address sitting on a data broker site, 100% turn up in at least one breach (43 on average), and each one carries about 11 master data broker profiles mapping family ties, addresses, and other exploitable detail. VanishID removes this fuel continuously and at scale.

And it does it with zero lift on the executive or their family. That’s the part Routh flagged as the easy sell: “the ability to fundamentally immediately change the attack surface by shrinking it for executives is really attractive. And to do that without a heavy lift or any kind of burden on the executives themselves, that’s a real plus. That’s kind of like a low friction, high impact kind of opportunity and that’d be hard to say no to. If I was a CSO today, it’d be hard to say no to that.”

The Clock Is Still Running

The attacks already run on automation. They finish before anyone clocks in, and half of them now lean on AI. A defense built around a person reading an alert was designed for a slower threat. The time it takes to launch an attack continues to decrease. A digital immune system is how protection keeps pace.