From Uniforms to Algorithms: How AI Is Changing the Security Guard’s Role

The fear that artificial intelligence will replace security guards makes a good headline and a poor forecast. What is actually happening is quieter: software is taking over the watching, and people are being paid for the judging. The guard who understands that difference is the one who gets the better post. This is a career guide to the AI-assisted security job, with the facts about what the technology does, where it still needs a person, and the skills that will matter in 2027.

Part of our security technology section. For the broader question of jobs, see will AI replace security guards.

Quick answer

What the labor data says

The BLS counted about 1,294,300 security guards in 2025 and reported a median pay of $38,020 a year. It projects employment to grow 1 percent from 2025 to 2035, about 11,200 jobs, slower than the average for all occupations, with roughly 157,200 openings a year, mostly from workers leaving the occupation. It also says that an increase in the use of surveillance technologies is expected to somewhat limit demand for these workers.

Put those numbers together and you get the real picture. The occupation is huge, turnover creates lots of openings, and technology is capping growth. That favors the guard who can do more than stand a post. See our full look at the labor data for more.

How AI fits into a security system

Most AI security tools follow the same chain. The software does the repetitive steps and a person handles the last two.

Step	Who does it	Example
Detect	Camera or sensor	A camera sees movement; a microphone hears a loud sound
Classify	Software	Is it a person, a vehicle, an animal, a gunshot-like sound?
Filter	Software	Ignore shadows, rain and known events; keep unusual ones
Alert	Software	Send a notification with a clip or location to an operator
Verify	Human	Look at the clip, listen to the audio, decide if it is real
Respond	Human	Call a supervisor, dispatch a guard, call police, or log and close

A 2025 Parks Associates report developed with the video company 3dEYE found that operators can miss up to 60 percent of target events when watching nine screens at once, and argued that cloud AI cues operators to the screen that matters. That figure comes from an industry-sponsored study, but the underlying point is sound: people are poor at staring at screens, and software is good at it.

False alarms: where AI helps the most

False alarms waste police time and guard attention. The same Parks report found that 62 percent of home security system owners have at least one false alarm each year and that up to 97 percent of alarms in some jurisdictions are false. A 2008 industry article quoted a Security Industry Alarm Coalition official saying that a second verification call typically cuts false dispatches by 30 to 50 percent, which shows that process matters as much as technology.

AI adds a filter in front of the human. In the Parks report, 32 percent of security dealers said AI had reduced false alarms in their business. A 2019 trade column from a monitoring company warned that adding video did not lower the false alarm percentage in its own sample and doubled handling time per alarm. In short: the technology can help, the proof varies, and the human review step is where the system succeeds or fails.

Verification is also becoming a rule. The Parks report says that cities including Los Angeles, Houston and Seattle now require video or audio verification before dispatching officers to some alarms. A guard or operator who can verify quickly and accurately is therefore doing work the system cannot do alone.

Smart sensors beyond cameras

Cameras are only one input. Two other sensor types show up more and more in the guard’s job.

Audio analytics

Audio analytics classifies sounds that may signal a threat. In a 2016 article, the CEO of an audio equipment maker listed glass break, car alarm, gunshot and aggression detectors, with events sent to video software, email or an alarm. Guards and central-station operators then review live audio after a prompt and decide whether the event is real. That article was written by a vendor and gives no accuracy data, so treat the claims as a description of how the tools work, not proof that they work well.

Smart environmental sensors

Some wall-mounted sensors combine several detectors. In April 2020 SDM Magazine reported that IPVideo’s Halo 2.0 sensor detected vaping, vaping with THC and attempts to mask vape odor, and also listened for a spoken keyword and gunshots, plus temperature, humidity and smoke. The company said the keyword feature notifies security with the exact location, and gunshot alerts go by text, email or the video system. These are the company’s descriptions, and the article presented no independent accuracy results. For a guard, the practical point is simple: a sensor tells you something is happening in a place, and you still have to go and find out what.

These sensors raise legal questions because audio is involved. Our body camera buyer’s guide explains consent laws for recording audio; the same cautions apply to any microphone you rely on at work.

Why a human is still required

• Judgment: a clip of two people arguing could be a joke, a fight or a robbery. Software gives a probability; you decide.
• Legal responsibility: decisions to detain, use force or call police have legal consequences that belong to a person and an employer, not an algorithm.
• Presence: only a person can walk to the scene, speak to someone, help a person in distress or secure a door.
• Trust: clients and the public expect an accountable person at the end of a chain of alerts.
• Verification rules: some cities require video or audio verification, which means a trained person has to look.

What a tech-savvy operator actually does

The 2027 version of the job still includes patrols, access control and reports. It adds a layer of work that sits between the technology and the response.

Skill	What it looks like on shift
Dashboard literacy	Find a camera, pull a clip, and read an alert history without help
Alert triage	Decide in seconds which alerts need action and which are noise, and write down why
Sensor basics	Know what each sensor detects, where it is, and what it cannot see
Clear documentation	Log the alert, the check and the result in plain facts
Privacy and legal sense	Know where cameras and microphones may point and what footage can be shared
Basic troubleshooting	Tell a failed camera from a network problem and report it to the right person

Our guides on AI report writing and guard tour systems show other places software already shapes the job.

How to build these skills now

1. Ask for time on the monitoring or control-room desk, even one shift a month.
2. Learn your site’s video and alert systems and write a one-page cheat sheet for yourself.
3. Start tracking false alarms at your post: what triggered them and how you recognized them.
4. Take a free or low-cost networking or cybersecurity course. See our tech skills and certifications guide.
5. Consider an entry credential such as CompTIA Security+ if you want to move toward technical roles.
6. Practice writing short, factual alert notes.

Employers hiring for operator roles tend to ask how you handle a screen full of alerts and what you would do with an unclear one, so prepare an example from your own post. Do not invent one.

Gear and study tools for the AI-era guard