Proposal to Create Counterintelligence Unit Receives Bipartisan Pushback. It Should.

A Florida bill that proposes creating a statewide counterintelligence and counterterrorism unit immediately raised questions for me. On the surface, the mission sounds straightforward: detect and neutralize foreign adversaries, terrorists, and intelligence threats. But when you start looking at the actual language in the bill, things get a lot murkier.

(Proponents) point to New York’s dedicated counterterrorism unit, with a thousand officers and federal intelligence services that failed to prevent the 9-11 attacks. History shows us that when we depend on the federal government, Florida loses. Also worth mentioning that the approach in New York increased surveillance that drew criticism for violating civil liberties. We’ve seen sufficient abuses of power among at least one unelected cabinet member to give me grave concerns about the abuse of a bill like this to going into statute.

What also caught my attention is how broadly the proposal defines threats, including people whose “views or opinions” are considered harmful to the interests of the state. Combine that with language about analyzing “patterns of life” data and you start getting into territory that privacy advocates and cybersecurity experts have warned about for years: large-scale surveillance systems that could be used to monitor and classify ordinary citizens.

Devil in the Details

At first glance, the mission sounds pretty straightforward. The unit’s goal would be to detect, identify, neutralize, and exploit adversary intelligence entities, foreign adversaries, terrorists, insider threats, and corporate threats.

That’s the kind of language you usually hear when people talk about national security operations.

But once you start digging into the bill itself, some of the details start to raise questions.

One thing that stood out immediately is that the proposal appears to create a state-level counterintelligence capability that overlaps heavily with responsibilities that already exist at the federal level.

Expensive Redundancies

Agencies like the Department of Homeland Security, the FBI, the NSA, and the intelligence community already handle many of the types of threats the bill describes.

So the obvious question becomes: what exactly would this state-level unit be doing that isn’t already covered by those organizations?

Another issue is the funding.

The bill reportedly allocates around $2 million initially and roughly $1.5 million annually afterward. If you think about what it actually costs to build and operate an intelligence unit, that’s not a very large budget. You’re not hiring many analysts or investigators with that kind of funding.

But the part of the bill that really caught my attention is the language around identifying threats. The proposal defines an “adversary intelligence entity” extremely broadly. According to the bill, that category could include governments, organizations, businesses — or even individuals whose actions, views, or opinions are considered harmful to the interests of the state.

That’s where things start getting a little concerning, because once you start defining threats in terms of opinions or viewpoints, you’re entering territory that’s historically been associated with surveillance overreach.

And the bill goes further, saying the unit would identify threats by analyzing what’s called “patterns of life.”

If you’re not familiar with that term, pattern-of-life analysis basically means building profiles based on the data generated by everyday activities.

• Where you go

• What you buy

• What you post online

• Who you talk to

• What websites you read

• What your interests and beliefs might be.

That kind of data already exists in enormous quantities through data brokers, social media platforms, location tracking systems, and license plate readers.

And increasingly, governments are finding ways to aggregate and analyze it.

The phrase that keeps popping up in discussions about these types of systems is “sentiment analysis.”

That’s the idea that algorithms can analyze social media posts, communications, or other data to determine someone’s attitudes or beliefs.

You’re starting to see that concept show up more often in surveillance discussions, including systems that attempt to assess whether someone might represent a risk based on their online activity.

The concern is that once you combine those tools with vague definitions of what constitutes a threat, the potential for abuse becomes very real.

If authorities have access to enough data, they can almost always find something that looks suspicious or problematic depending on how the rules are interpreted.

That’s one of the reasons protections like the Fourth Amendment exist in the first place. Governments shouldn’t have the ability to monitor everyone constantly and then decide later who to investigate based on whatever information they happen to find.

No Mystery, It’s History

History is full of examples of surveillance powers expanding beyond their original purpose. That’s why proposals involving large-scale monitoring systems tend to generate strong reactions from both cybersecurity experts and civil liberties advocates. The debate over this Florida bill is another example of that tension.

Supporters argue that stronger intelligence capabilities are necessary to identify threats and protect the public. Critics worry that vague language and broad surveillance authority could eventually be used to monitor people based on their views rather than their actions.

When legislation starts talking about tracking “patterns of life” and defining threats based on opinions, it’s probably worth taking a closer look at how those systems would actually be used.

Once surveillance infrastructure exists, it tends to stick around, and the ways it’s used can change over time in harmful ways.