By Daily Touch Insights Editorial Team
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CYBERSECURITY & ARTIFICIAL INTELLIGENCE — Stopping a cyberattack could one day become as simple as responding to an alert from a smartphone while taking the dog for a walk, according to the chief executive of a cybersecurity company developing defensive artificial intelligence systems.
The idea reflects a major shift taking place in cybersecurity: companies are increasingly looking toward AI not only to identify suspicious activity, but also to investigate threats and help security teams respond before an attack causes serious damage.
The vision sounds almost effortless. A security executive receives an alert, confirms the recommended action and allows an AI-powered system to contain the threat while the human continues with their day.
But there is a major question underneath the catchy analogy: can AI become reliable enough to make high-stakes security decisions without creating new risks?
Cyberattacks Do Not Wait for Office Hours
One of the biggest problems facing cybersecurity teams is that attacks can happen at any time.
A company's systems do not stop operating because employees have gone home.
Attackers can exploit vulnerabilities during weekends, holidays or overnight periods when fewer security professionals are watching the network.
This creates a difficult staffing problem for businesses.
Large organisations can employ security operations teams around the clock, but smaller companies often cannot afford hundreds of cybersecurity specialists monitoring systems continuously.
AI could potentially help close that gap by monitoring large volumes of security data much faster than humans can.
The Idea Behind Defensive AI
Traditional cybersecurity tools typically focus on detecting suspicious activity.
They can generate alerts when a system identifies unusual login behaviour, malware, suspicious network traffic or other potential threats.
But detection is only the beginning.
Someone still needs to investigate the alert and determine whether it represents a genuine attack.
Security teams must then decide what action to take.
Defensive AI attempts to automate more of that process.
Instead of simply saying that something looks suspicious, an AI system could potentially investigate the activity, determine what happened and recommend or initiate a defensive response.
Why Speed Matters in Cybersecurity
Time can be extremely valuable during a cyberattack.
If an attacker gains access to an organisation's network, the longer the intrusion continues, the more opportunities the attacker may have to steal information, compromise additional systems or disrupt operations.
A security system that can detect and respond to suspicious activity within seconds could therefore provide an advantage over a process that requires a human analyst to investigate every alert manually.
This is one of the strongest arguments for applying AI to cybersecurity.
Machines can continuously monitor systems without becoming tired, distracted or overwhelmed by the volume of information.
AI Could Help Reduce Alert Overload
Cybersecurity professionals already deal with enormous numbers of alerts.
Many of those alerts turn out to be harmless.
This creates what security experts commonly describe as alert fatigue.
When analysts receive hundreds or thousands of notifications, identifying the genuinely dangerous events becomes increasingly difficult.
AI could help by analysing multiple signals simultaneously and prioritising the incidents that appear most serious.
Instead of asking a human analyst to examine every event individually, the system could focus human attention on the most important cases.
The Dog-Walking Scenario Is Really About Automation
The image of a CEO stopping a cyberattack while walking a dog is deliberately simple.
The point is not that cybersecurity literally requires no human expertise.
The point is that advanced automation could eventually allow people to supervise security operations without being physically connected to a security operations centre.
A business leader could receive a notification, understand the nature of the threat and approve a predefined response.
The AI system would then handle the technical work.
That would represent a significant change from today's model, in which security professionals often have to investigate incidents manually.
Human Oversight Still Matters
However, completely removing humans from cybersecurity decisions would create serious risks.
AI systems can make mistakes.
A system could incorrectly classify legitimate activity as malicious and block an important employee, customer or business process.
In a more serious scenario, an automated response could accidentally shut down critical infrastructure or delete legitimate data.
That is why human oversight remains important, particularly when the potential consequences of an automated decision are severe.
False Positives Can Become Expensive
Cybersecurity systems have to solve two problems simultaneously.
They must detect real attacks while avoiding unnecessary disruption to legitimate activity.
An AI system that misses an attack can allow criminals to continue operating.
An AI system that reacts too aggressively can cause its own damage.
The challenge is therefore not simply making AI faster.
It is making AI accurate enough to understand the difference between an unusual event and a genuine threat.
Attackers Are Also Using AI
The cybersecurity race is not happening in only one direction.
Criminal groups and other malicious actors are also experimenting with artificial intelligence.
AI can potentially help attackers generate convincing phishing messages, automate reconnaissance, analyse stolen information and adapt attacks more quickly.
That creates a technological arms race.
Defenders want AI to detect and stop attacks faster, while attackers can use similar technologies to make their operations more sophisticated.
The Security Industry Is Moving Toward AI Agents
The next stage of AI cybersecurity is increasingly focused on what are sometimes called AI agents.
Unlike a conventional chatbot that waits for a question, an agent can be designed to monitor information, reason about a problem and perform actions according to defined permissions.
In cybersecurity, this could mean an AI system investigating suspicious activity, collecting evidence and taking predefined containment measures.
The technology could significantly increase the amount of work a small security team can handle.
Small Businesses Could Benefit the Most
Large technology companies already have the resources to employ substantial cybersecurity teams.
Smaller organisations often face a different reality.
They may have limited security budgets and only a small number of employees responsible for technology.
AI-powered defensive tools could potentially give those companies access to capabilities that previously required a much larger security operation.
That could become one of the most important economic benefits of defensive AI.
But Businesses Must Not Blindly Trust AI
The biggest mistake companies could make is treating AI security tools as infallible.
AI should not become an excuse to eliminate basic cybersecurity practices.
Businesses still need strong passwords, multifactor authentication, secure software updates, access controls, employee training, backups and incident-response plans.
An AI security system is another layer of defence, not a replacement for every other security measure.
Permissions Will Become Extremely Important
If AI systems are allowed to take action automatically, businesses will need to determine exactly what those systems are permitted to do.
There is a major difference between an AI system recommending that an account be disabled and an AI system having the authority to disable every account in a company's network.
Security teams will therefore need carefully designed permission systems.
The more powerful the AI becomes, the more important those controls will be.
AI Needs a Clear Audit Trail
Another important requirement is accountability.
If an AI system makes a security decision, organisations need to know what happened.
Security teams should be able to determine which information the system considered, what action it took and why that action was considered appropriate.
This information becomes particularly important when an automated decision causes disruption.
Without a reliable audit trail, investigating an AI-related security incident could become difficult.
Cybersecurity Could Become More Proactive
Traditional security often focuses on reacting to incidents after suspicious activity has already occurred.
AI could potentially make security more proactive.
Systems could continuously analyse behaviour and identify patterns that indicate an emerging threat before an attacker has completed their objective.
That could shift cybersecurity from a primarily reactive discipline toward one in which systems constantly search for signs of an attack.
The Technology Still Has Limits
Despite the potential, defensive AI should not be presented as a magic solution.
Cyberattacks are complex, and attackers deliberately attempt to confuse security systems.
AI models can also misunderstand context or produce incorrect conclusions.
There is therefore a significant difference between demonstrating that an AI can investigate a simulated attack and proving that it can safely protect a critical company in the real world.
That distinction matters when companies decide how much authority to give an AI security system.
The Future May Be Human and AI Working Together
The most realistic future is unlikely to be humans disappearing completely from cybersecurity.
Instead, AI may become a force multiplier.
Machines can perform continuous monitoring, analyse huge quantities of information and handle repetitive tasks.
Humans can focus on complicated incidents, strategic decisions and situations where context matters more than speed.
That combination could produce a stronger security operation than either humans or AI working alone.
Why This Matters to Businesses
Cybersecurity has become a business issue, not simply an IT problem.
A successful attack can interrupt operations, expose customer information, damage a company's reputation and create significant financial costs.
Businesses therefore have a strong incentive to find faster and more scalable ways to defend their systems.
If defensive AI can reliably automate parts of that process, it could become one of the most important applications of artificial intelligence in enterprise technology.
What the Dog-Walking Claim Really Means
The provocative claim about stopping a cyberattack while walking a dog should therefore be understood as a vision of where cybersecurity automation could go.
It suggests a world where security professionals do not need to be sitting in front of a dashboard every second to protect an organisation.
AI could monitor the environment continuously and escalate only the decisions that require human attention.
That would make cybersecurity more accessible and potentially more efficient.
But reaching that point will require strong testing, safeguards, transparency and clear limits on what autonomous systems can do.
Our Perspective
The interesting part of defensive AI is not the idea that a CEO could stop a cyberattack while walking a dog.
The real development is the possibility of turning cybersecurity from a heavily manual process into a continuously automated system.
That could dramatically change the economics of security, particularly for smaller businesses that cannot afford large teams of specialists.
But the industry should resist the temptation to promise perfect protection.
The best defensive AI will not be the system that acts most aggressively. It will be the system that knows when to act, when to wait and when to ask a human for help.
Conclusion
Artificial intelligence is changing the way companies think about cybersecurity, with defensive AI systems increasingly being developed to detect, investigate and respond to threats.
The vision described by cybersecurity executives is compelling: a future where a security incident can be contained remotely without requiring a specialist to remain physically in front of a security dashboard.
However, achieving that future will depend on reliability, appropriate permissions, human oversight and strong safeguards.
AI can dramatically accelerate cybersecurity response, but businesses should not confuse automation with perfection.
Stopping a cyberattack while walking the dog may sound like a joke, but the underlying idea is serious: the future of cybersecurity could depend on AI doing more of the defensive work while humans remain responsible for the decisions that matter most.
