The idea of “hijacking” can extend beyond unauthorized control of a medical implant, but the term should be used carefully.

A person cannot ordinarily be hijacked in the same technical sense as a computer or device. However, malicious actors can use technology to compromise or manipulate important parts of a person’s connected life, including identity, information, accounts, decision-making, digital environments, connected devices, and—in emerging neural systems—sensitive neural data and device functions.

In some cases, an attacker targets the technology.

In others, the attacker targets the person through deception, impersonation, psychological manipulation, coercion, or misuse of information.

As technology becomes more deeply integrated with the human body and nervous system, the distinction between compromising technology around a person and compromising a technological interface connected to the person becomes increasingly important.

1. Digital Identity Theft

A malicious actor may steal enough personal information to impersonate another person online.

Compromised information may include:

• account credentials;

• financial information;

• identifying information;

• authentication data;

• personal communications;

• or access to other sensitive digital systems.

The attacker may then attempt to access accounts, make unauthorized transactions, impersonate the individual, obtain additional information, or use the stolen identity in further attacks.

In this sense, the attacker is not taking control of the person but may be attempting to take control of part of the person’s digital identity, access, or authority.

2. Social Engineering

Not every cyberattack begins by defeating a computer.

Sometimes the attacker attempts to defeat the human decision-making process surrounding the computer.

Social engineering uses deception, impersonation, urgency, fear, trust, curiosity, authority, or other pressures to persuade someone to perform an action that benefits the attacker.

Examples may include:

• phishing;

• spear-phishing;

• fraudulent messages;

• impersonation;

• pretexting;

• baiting;

• false technical-support requests;

• deceptive login pages;

• or fraudulent requests for money, credentials, or access.

The objective may be to persuade the person to voluntarily provide access that the attacker could not easily obtain through technical means alone.

Accordingly:

A Technically Secure System Can Still Be Compromised Through a Deceived User

3. Psychological and Informational Manipulation

Technology can also be used to influence what people believe, notice, fear, prioritize, or choose.

Misinformation, selectively presented information, manipulative advertising, propaganda, fraudulent content, or coordinated influence campaigns may attempt to exploit:

• fear;

• anger;

• urgency;

• confirmation bias;

• social pressure;

• familiarity;

• trust;

• emotional vulnerability;

• or other predictable features of human decision-making.

This does not mean that exposure automatically controls a person’s behavior.

People remain capable of judgment, reflection, verification, resistance, and responsible choice.

However, deliberately engineered information environments may influence decisions, particularly when deceptive material is repeated, emotionally charged, highly personalized, or presented as coming from a trusted Source.

The concern is therefore influence and manipulation, not automatic control of the person.

4. Deepfakes and Digital Impersonation

Artificial intelligence can be used to create increasingly convincing synthetic:

• voices;

• images;

• videos;

• documents;

• messages;

• and other digital content.

A malicious actor may use these technologies to make it appear that a real person said or did something that never occurred.

Potential uses include:

• impersonation;

• fraud;

• fabricated evidence;

• reputational attacks;

• deceptive communications;

• extortion;

• or attempts to manipulate other people into taking action.

Deepfakes therefore create not only a cybersecurity problem but also a Source-authentication problem.

Seeing or hearing something that appears authentic does not automatically establish that it actually originated from the person being represented.

Accordingly:

Apparent Authenticity ≠ Automatically Genuine Origin

5. Ransomware and System Extortion

Ransomware targets computers, networks, or data rather than directly taking control of a person.

An attacker may use malicious software to encrypt, disable, or otherwise deny access to important systems or information and then demand payment or another concession.

This can create substantial leverage when access to:

• business systems;

• personal records;

• communications;

• medical information;

• financial information;

• or essential services

becomes unavailable.

The attacker is therefore attempting to gain control over something the victim depends upon, thereby creating pressure on the person or organization.

6. Exploitation of Smart Homes and Connected Environments

Modern homes, vehicles, workplaces, and personal environments may contain numerous connected devices.

Examples include:

• cameras;

• door locks;

• thermostats;

• speakers;

• lighting;

• appliances;

• vehicles;

• security systems;

• wearable devices;

• medical devices;

• and other Internet of Things technologies.

If these systems are poorly secured, unauthorized access could potentially allow an attacker to:

• observe private information;

• surveil occupants;

• manipulate device operation;

• interfere with environmental controls;

• compromise physical access;

• disrupt services;

• or otherwise affect the person’s surroundings.

This illustrates an important distinction:

The Person May Not Be Technically Compromised Even Though the Technology Surrounding the Person Is

As physical environments become increasingly connected, cybersecurity can affect not only information but also the conditions and systems upon which people rely.

7. Brain–Computer Interfaces and Neural-System Exploitation

Brain–computer interfaces (BCIs) introduce a more direct category of concern because they create an engineered interface between measurable neural activity and technological systems.

As discussed previously, a BCI may detect neural signals and translate them into defined commands for computers, communication systems, prosthetic devices, robotic equipment, or other technologies.

This creates an important cybersecurity boundary.

If a BCI or one of its supporting systems were compromised, an attacker could potentially target:

• neural-signal data;

• communication between the implant and an external device;

• signal-processing software;

• user permissions;

• decoded commands;

• connected devices;

• system settings;

• or other functions supported by the particular BCI.

Conceptually:

Brain → BCI → Signal Processing → Computer → Connected Device

An attacker would not necessarily need to control the person’s mind to cause harm.

Compromising one part of that technological pathway could potentially cause the system’s Output to differ from what the person intended.

For example:

Person Intends Action → BCI Detects Signal → Compromised System Alters Command → External Device Performs Different Action

This would represent hijacking of the technological interface or connected system, not necessarily hijacking of the person.

Could Someone Literally Hijack a Person Through a BCI?

This question becomes especially important as neural interfaces become more sophisticated.

Current BCIs should not be understood as providing unrestricted technological access to a person’s entire mind.

A BCI may detect particular measurable neural signals and associate them with defined functions.

That does not automatically provide access to:

• every thought;

• every memory;

• consciousness;

• identity;

• moral judgment;

• personality;

• the will;

• or complete control of the body.

Accordingly:

BCI Hijacking ≠ Automatically Hijacking the Entire Person

The more accurate present concern is that an attacker might compromise the technological interface between the person and connected systems.

Neural Data Could Become an Increasingly Sensitive Target

BCIs can produce information derived from neural activity.

As these systems become more capable, the sensitivity and informational value of that data may increase.

Potential targets could include:

• recorded neural signals;

• decoded movement intentions;

• communication-related signals;

• device-use patterns;

• associated health information;

• or other data inferred from the BCI system.

This creates an important distinction:

Access to Neural Data ≠ Complete Access to the Mind

A computational system may infer specific information from measurable neural activity without possessing complete knowledge of what the person thinks, believes, remembers, intends, or experiences.

Future Bidirectional BCIs May Create Greater Risks

Some neural-interface technologies may not only record neural activity but may also provide controlled electrical or other stimulation to neural tissue.

This creates a potentially bidirectional pathway:

Brain → Technology

and

Technology → Neural Stimulation

If future systems combine increasingly sophisticated neural recording with increasingly sophisticated stimulation, the cybersecurity consequences of unauthorized access could become more significant.

Potential risks could include unauthorized:

• stimulation;

• alteration of intended sensory feedback;

• disruption of therapeutic functions;

• interference with device-mediated perception;

• manipulation of device-generated signals;

• or other neurological effects within the capabilities of the particular system.

These possibilities deserve serious cybersecurity consideration.

However, even a compromised bidirectional BCI should not automatically be described as giving an attacker unrestricted control over the entire human person.

The possible effect would remain constrained by:

• where the interface is located;

• which neural signals it can detect;

• which neural structures it can stimulate;

• the type and intensity of stimulation;

• the software and hardware architecture;

• biological variability;

• safety limits;

• and the actual capabilities engineered into the system.

Accordingly:

Neural Influence ≠ Automatically Total Human Control

The Distinction Between Influence, Interference, and Control

As technology becomes increasingly integrated with the person, it is useful to distinguish several levels of concern.

Digital Manipulation → Attempts to Influence Decisions

Environmental Compromise → Control of Connected Systems Around the Person

Device Hijacking → Unauthorized Control of a Device Used by the Person

BCI Compromise → Unauthorized Interference With a Neural-Technological Interface

Neural Influence → Potential Effects Produced Through a Neural Interface

These conditions should not automatically be collapsed into:

Total Control of the Human Person

The distinction matters because responsible analysis should neither minimize genuine technological risks nor attribute capabilities to technology that have not been established.

Greater Integration Creates Greater Security Responsibility

The closer a technological system operates to the human body, nervous system, or essential functioning, the more consequential a cybersecurity failure may become.

A compromised social-media account may expose personal information.

A compromised smart-home system may affect the person’s environment.

A compromised medical implant may affect bodily functioning.

A compromised neural interface could potentially affect sensitive neural data or functions mediated by the interface.

Conceptually:

Greater Technological Access to the Person → Greater Need for Security, Privacy, Control, and Oversight

This does not mean that greater integration is inherently wrong or unsafe.

It means that the required level of protection should increase with the potential consequence of unauthorized access.

Protecting the Person Requires More Than Device Security

Safeguards may include:

• strong authentication;

• multi-factor authentication where appropriate;

• secure software and firmware;

• encrypted communications;

• protected neural data;

• verified software updates;

• strict access controls;

• secure external devices;

• monitoring for unauthorized activity;

• independent verification of consequential communications;

• protection against phishing and impersonation;

• user-controlled permissions;

• safeguards against unauthorized stimulation where applicable;

• and safe recovery, disabling, or shutdown mechanisms where technically appropriate.

Security should extend beyond the implant itself to the entire connected architecture.

For example:

Person → Implant / BCI → External Device → Software → Network → Cloud Infrastructure → Connected System

Every interface may introduce its own security requirements.

Human Judgment Remains an Important Safeguard

Many attempts to compromise a person do not begin with highly advanced technology.

They begin with a deceptive message, false Source, fraudulent request, manipulated image, or emotional pressure.

Before acting upon consequential information, a person can ask:

Who is the actual Source?

Can the Source be independently verified?

What evidence supports the claim?

Is someone creating unnecessary urgency or pressure?

Am I being asked to surrender information, access, money, authority, or control?

Does another reliable channel confirm what I am being told?

Cybersecurity is therefore partly a technical discipline and partly a discipline of Source evaluation, verification, Gateway Guarding, and responsible choice.

The Person Is More Than the Connected System

As technology becomes increasingly integrated with biological and neural systems, one distinction should remain fundamental:

The technological interface is associated with the person. It is not the totality of the person.

A person should not be reduced to:

• neural signals;

• biological measurements;

• data;

• software Outputs;

• device configurations;

• connected accounts;

• or networked components.

Protecting connected technology should therefore serve the broader objective of protecting the person who uses or depends upon it.

In Summary

Malicious actors can attempt to compromise important parts of a person’s connected life through:

Identity → Impersonation

Accounts → Unauthorized Access

Information → Manipulation or Deception

Data → Theft or Exposure

Computer Systems → Ransomware or Disruption

Connected Environments → Unauthorized Device Control

Medical Devices → Potential Interference With Bodily Functions

Brain–Computer Interfaces → Potential Interference With Neural Data, Commands, or Device Functions

As neural interfaces become more capable, the potential consequences of unauthorized access may become increasingly serious.

However:

Compromising a BCI Does Not Automatically Mean Taking Complete Control of the Human Person

The responsible approach is neither to dismiss the potential risk nor to assume technological capabilities that have not been established.

The objective should be to recognize that increasingly intimate human–technology integration creates increasingly important cybersecurity boundaries, requiring proportionately strong protection of privacy, bodily integrity, neural data, human agency, authorized control, safety, security, and responsible choice.