How Criminals Could Use AI to Target Buildings in the Future — and What Businesses Can Do About It

Artificial intelligence is changing security fast. Most of the discussion has focused on how businesses can use AI to improve CCTV, automate alerts, and strengthen monitoring. But there is another side to that story. The same technology that helps security teams work faster could also be exploited by criminals looking for new ways to access buildings, bypass procedures, and steal valuable property. That risk is especially relevant for commercial premises, empty buildings, industrial sites, and facilities with multiple contractors or delivery movements. Kingsman Group’s own service mix — from access control to CCTV and keyholding — sits directly in that gap between digital systems and physical protection. 

The important point is this: AI is unlikely to replace traditional criminal behaviour overnight. What it may do is make familiar tactics more convincing, more scalable, and harder to spot early. Europol’s 2025 serious organised crime assessment warns that AI is acting as a force multiplier for criminal activity by helping offenders scale operations, automate parts of their workflow, and become more difficult to detect. 

1. Social engineering could become far more believable

One of the clearest future risks is not a robot breaking down a door. It is an attacker sounding credible enough that someone inside opens it for them.

AI-generated voices, cloned speech patterns, realistic emails, and highly polished fake messages can all support social engineering. In practice, that could mean a criminal pretending to be a facilities manager, approved contractor, senior executive, alarm engineer, or delivery partner. A rushed phone call to reception asking for “urgent access”, a fake message authorising out-of-hours entry, or a realistic voicemail asking staff to disable part of a process could become much more persuasive when AI is used to mimic tone, writing style, or identity. The UK government has described deepfake detection as an urgent priority, and the NCSC continues to warn organisations about phishing and related impersonation threats because they remain an effective route into systems and processes. 

For physical security, that matters because many breaches happen through people and process failure, not forced entry.

What the countermeasure looks like

The answer is not to trust less blindly, but to verify more consistently. Businesses should build simple verification steps into physical access workflows: call-backs to known numbers, visitor authorisation lists, two-person approval for unusual access requests, and strict rules that no one gains entry based on a call, email, or message alone. Reception teams, mobile officers, cleaners, and site supervisors all need the same escalation rules. NCSC guidance stresses layered defences, awareness training, and resilient processes as part of phishing resistance; those principles translate directly into physical access control. 

2. AI could help criminals do reconnaissance faster

Criminals already study buildings. AI may simply help them do it at greater speed.

Public websites, social media posts, job adverts, Google listings, planning documents, and supplier information can reveal a surprising amount about a site: opening hours, vulnerable entrances, refurbishment works, delivery routines, vacant units, and the technology a business uses. AI tools can summarise and organise large volumes of open-source information quickly, helping offenders identify likely weak points without physically spending as much time near the target. Europol’s 2025 assessment highlights the broader pattern: criminal groups are using digital tools and AI to improve efficiency and scale. 

This does not mean businesses should disappear from the internet. It means they should think more carefully about operational oversharing.

What the countermeasure looks like

Review what your public-facing channels reveal. Staff posts, case studies, vacant-property listings, and contractor updates should not unintentionally map the site for outsiders. At site level, good countermeasures include reduced visibility of critical assets, tighter control of delivery zones, and security surveys that assess what an outsider can learn simply by walking or browsing around. This sits well with Secured by Design’s emphasis on designing security into developments from the outset rather than treating it as an afterthought. 

3. Deepfake identity fraud could affect access systems

Many organisations are moving toward app-based access, remote onboarding, digital passes, and identity-linked credentials. Those systems can be efficient, but they create a new challenge: how do you know the person enrolling, requesting a credential reset, or asking for a temporary pass is really who they claim to be?

If AI-generated images, video, and voice become more convincing, identity checks that rely on weak visual confirmation may become more exposed. The risk is not only the front door. It can affect remote helpdesks, permit approvals, contractor onboarding, and temporary access changes. The UK government’s recent work on deepfake detection reflects the growing concern that fake but convincing media will increasingly affect real-world trust decisions. 

What the countermeasure looks like

Stronger identity assurance is the direction of travel. That means multi-step verification for access changes, role-based permissions, time-limited passes, rapid revocation of credentials, and better audit trails. Where biometrics are used, businesses should favour solutions with anti-spoofing and liveness protections rather than assuming any biometric layer is secure by default. Kingsman Group’s own access control positioning already focuses on controlling entry points and making sure the right people enter without relying on manned intervention alone; the future version of that is smarter policy, not just smarter hardware. 

4. Stolen or cloned credentials may become part of wider AI-enabled attacks

The “ghost key” problem is already real enough to merit coverage on the Kingsman site: cloned fobs and copied credentials can create invisible access risk. AI may not be the direct cause of every cloned credential, but it can make the surrounding fraud more effective — for example, by supporting phishing, impersonation, or convincing requests to reissue credentials, reset permissions, or approve access exceptions. 

What the countermeasure looks like

This is where a layered approach matters. Businesses should avoid single-point trust in one credential or one door. Practical measures include frequent review of user permissions, fast deactivation of lost fobs, zone-based access, anti-passback rules where appropriate, and combining access events with CCTV verification and alarm monitoring. Kingsman Group’s broader message — integrating access control, CCTV, manned guarding, and response — matches the real solution better than any standalone gadget. 

5. AI may help offenders test for gaps in response

Another likely future change is not just smarter intrusion, but smarter timing. If criminals can analyse patterns in response times, staffing levels, delivery windows, public holidays, weather disruption, or site occupancy, they can make better guesses about when a premises is most exposed. Kingsman Group’s own content already notes that AI can be used defensively to analyse local crime trends, seasonal patterns, weather, and historical access attempts to support deployment decisions. That same principle explains the risk from the other side: data-driven timing may improve offender planning too. 

What the countermeasure looks like

Security should be less predictable from the outside. Randomised patrol patterns, stronger out-of-hours procedures, monitored void-property checks, and rapid alarm response all reduce the value of pattern analysis. The goal is to make a site harder to read and harder to exploit. This is one reason human presence still matters even in a digital-first environment — a point Kingsman Group has already made in its recent content. 

6. Theft may become more targeted, not just more frequent

AI is often associated with speed and automation, but the bigger business risk may be better targeting. Rather than opportunistic theft, offenders may use better intelligence to identify where copper, tools, plant, stock, vehicles, sensitive records, or high-value equipment are most likely to be stored. Kingsman’s recent blog content already highlights metal theft, vandalism, and physical security as ongoing business risks, while government material continues to recognise metal theft as a source of significant disruption. 

What the countermeasure looks like

The best countermeasure is asset-led security planning. Do not secure every square metre equally. Secure what is most valuable, easiest to move, and hardest to replace. That may mean stronger perimeter controls around plant, separate zones for high-value stock, better lighting, monitored CCTV analytics, forensic marking, and response plans tied to the assets most likely to be targeted. CISA’s physical security guidance also emphasises protective measures and resilience planning for facilities of different types and sizes. 

So what should businesses do now?

The key mistake is to think of AI risk as purely a cyber issue. In reality, the next generation of threats is likely to sit between digital deception and physical access. A fake voice note could open a gate. A cloned credential could support an apparently legitimate visit. A manipulated identity check could produce a live access pass. A well-timed intrusion could target the exact assets a criminal knows are on site.

That is why the strongest response is a layered one:

  • secure access points properly
  • verify identity changes and unusual requests
  • reduce predictable routines
  • connect CCTV, access control, alarms, and response
  • train staff to challenge, not just comply
  • review sites through the eyes of both a criminal and an investigator

For businesses across Leeds, Yorkshire, and the wider UK, the question is not whether AI will matter to physical security. It is whether security planning evolves before criminals start using these tools more effectively at scale. The organisations that respond best will be the ones that combine technology with strong procedures and experienced human judgement. That is exactly where integrated providers like Kingsman Group are strongest: not in selling a single device, but in building a joined-up defence around people, property, and access. 

Conclusion

Criminals may use AI in the future to make familiar crimes — trespass, theft, impersonation, and unauthorised access — more convincing and more efficient. But the answer is not panic. It is preparation.