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Why Generative AI Will Win The Battle Against Growing Instances of Burglary in the UK

Many of us are aware of ChatGPT and the vast technological revolution that generative AI promises to be, but can artificial intelligence really help to keep our homes secure in the physical world? 

The generative AI market is forecasted to reach a value of $191.8 billion by 2032, representing a CAGR of 34.1%. In such a rapidly expanding digital landscape it seems certain that the technology will impact how we secure our property and possessions, and given that instances of burglary in the UK appear to be increasing, generative AI may be a technological revolution that can’t happen soon enough. 

Data from the Office for National Statistics claim that instances of burglary in England and Wales have risen by 4% for the year ending March 2023, with total burglaries reaching 275,919 over the same period. 

Could generative AI help residents win the battle against the growing threat of burglary? Use cases suggest that the generative AI fightback against intruders is already underway, but it’s more important than ever to balance your offline security measures with online considerations. 

The Next Generation of Intelligent Home Surveillance

One of the most effective ways that AI is helping to improve home security is through smart motion detention. 

Through artificial intelligence tools, cameras will be capable of not only monitoring activity around your property, but also learning and recognising your surroundings, routines, and frequent visitors

By actively scanning the faces that enter your property and analyzing their behaviour, generative AI models can calculate the optimal response based on their interpretation of a security threat. This would then trigger real-time alerts when the AI has determined that something isn’t quite right. 

The reason that AI excels in this area of home security is because of its ability to identify and classify objects appearing within a camera’s field of view. Generative AI can lean on machine learning to understand whether a car, neighbour, pet, or unknown person has entered the frame and act on their interpreted level of danger. 

Crucially, this improved accuracy can eliminate false alarms, helping you to treat an alert accordingly. Generative AI could even learn to determine whether to directly notify the relevant authorities based on its interpretation of an unfolding event. 

Learning From Routines

Just as machine learning can learn objects appearing in view, it can also learn our common routines and make decisions based on its identified patterns. 

While this could be conjuring images of your house becoming your very own HAL 9000, it can be a highly effective way of keeping your routines up even when you’re away from home on business or taking a holiday. 

In the future, generative AI could link your arrival at home to your most common use of house lighting and may even be able to set up your TV and living space to your preferred requirements. 

On the flip side, if somebody arrives at an unusual time and can’t be identified, a generative AI system could ramp up security measures on the fly. 

Knowing When to Use Smart Locks

Smart locks can use artificial intelligence to detect when somebody may be forcing entry, or keep a record of who has gained access to a property. 

The great thing about smart locks is that they can be used alongside just about any form of lock hardware, from traditional locks to deadbolts, to padlocks for garden sheds. 

They can also use a range of advanced technology to ensure that no unauthorised individuals gain access to your home or workspace. This can be achieved through fingerprint scanning, entry logging, the use of programmable cards or fobs, or integrated smartphone apps. 

Some tools, such as the Eufy Video Smart Lock, combine a lock with a video doorbell for unprecedented control over who comes and goes. 

You can even combine your smart lock with some ultra-secure hardware measures by getting reputable residential locksmiths to install a steel or brass deadbolt as an added layer of protection should your AI system alert you to a prospective intruder. 

Generative AI Poses Security Opportunities and Risks

While generative AI is likely to have a bright future in providing residents with more comprehensive ways to keep their homes safe, it’s important to acknowledge that the power of the technology could come with its own security risks should any vulnerabilities become exploited by criminals. 

In introducing its Secure AI Framework in mid-2023, Google has sought to build “a bold and responsible, […] conceptual framework to help collaboratively secure AI technology,” in the words of Royal Hansen, Google’s VP of engineering for privacy, safety and security.

The framework intends to help AI programs stay secure in the face of system risks and emerging cybersecurity threats. This would make the use of generative AI home security systems more efficient without online risks compromising the security of vital information about respective homes. 

However, the risk of leaking personal information or confidential data about smart properties could actively help burglars if system vulnerabilities arise. It’s for this reason that adopters should always look for the best privacy features and algorithmic accountability from developers. 

With this in mind, it’s important to regularly audit any AI smart home devices and who’s logged into them around once a month. 

The emergence of generative AI has presented us with brand new ways to look after our respective properties. However, this technological breakthrough has once again raised fresh concerns surrounding online privacy. 

In shoring up the security of your homes, it’s vital that you don’t accidentally open the door for burglars to exploit your vulnerabilities online. 

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