Deepfakes: Unveiling the Controversy and Opportunities

Key Takeaways

  • Deepfakes are AI-generated manipulated images, videos, or audio. They can be used to impersonate individuals or create entirely new content.
  • Deepfakes have a dark history. They first gained notoriety in 2017 when a Reddit user used them to create deepfake pornographic videos.
  • Deepfakes are created using deep learning models. These models require large amounts of data to learn a person’s features and patterns.
  • Deepfakes can be used for both malicious and beneficial purposes. They can be used to spread misinformation, harass individuals, and create fake news. However, they can also be used for training simulations, marketing, and creative expression.
  • Spotting deepfakes can be challenging but not impossible. Look for inconsistencies in facial movements, lighting, shadows, and audio. Trust your gut feeling.
  • Legal frameworks surrounding deepfakes are still evolving. While there are some state-level laws, a comprehensive federal law is still needed.
  • It’s important to be aware of the risks and benefits of deepfakes. As technology continues to advance, we need to develop effective detection methods and legal frameworks to mitigate their potential harms.
Bro, they have a video of you throwing something out of your window.
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Understanding Deepfakes: The Good, the Bad, and that’s not your Mom.

Over the years, the internet has been… well, the internet made with all interesting and mentally concerning individuals. Many of which may be right next door to you. As terms online pop-up, one is becoming more and more of a growing concern.

This growing issue deals with, yet again people, (we can’t seem to have anything nice) some of which you may know personally and others…not so much.

Give me that beautiful face!

It’s another day at the office, you’re online, your best work buddy called out, and you’re to fend for yourself. All great things when at work, we love this. While online, browsing through all the wonderful garbage the algorithm has to offer. (Let’s be honest doom-scrolling cute cat videos aren’t a thing anymore, we know) you find some photos and videos of your work buddy.

You think,” Is that? Nah, this can’t be them. They wouldn’t do something as crazy as hurling a basket of cute kittens out of a window.” In disbelief, you call your work buddy to verify if it’s indeed them. Countering disbelief with confusion and uttering that lovely phrase “What in the Sam Cooks hell are you talking about?”

You provide them with what you saw only to discover both surprises are mutual. Both of you wondering the what, when, and how could someone find the time and resources to impersonate anyone to perform such a sickening act. Welcome to the rise of the Deep Fakes.

AI is beginning to look like me more and more.
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What are Deepfakes?

You may be asking yourself, “What are deep fakes? What makes them fake?” Deep fakes are images, videos, and even audio manipulated using artificial intelligence to appear real. Deep fake is a portmanteau- a combination of two words to make a new word- of “deep learning” and “fake”. Deep fakes can be created by replacing a person with another person or by creating new content altogether.

Backstory of Deepfakes

The idea showed up back in 2017 when a Reddit user named “deepfakes” began sharing altered pornographic videos (it’s always porn) using face-swapping technology. If you’re not familiar with face-swapping, this was the craze that led to users being able to swap faces with their pets, friends, and eventually led to being able to put themselves into movie moments.

You know it’s amazing to see how far one species can come in advanced technology and quickly resort to using it for primitive ends. It really shows where our heads are at.

Faking in the Making

How are deep fakes made? And are they all created equal? To answer that last question is ‘no’. Clearly, there’s a different process since everyone’s face tends to have additional features to make them look unique. The process for creating a deep fake consists of collecting large amounts of data containing images or videos of a person.

This could involve having images of every angle, expression, and feature to ensure the AI captures them properly. The “data” or better known in the data science community as the “dataset” is fed into a deep learning model, this could be either variational autoencoder (VAE) or generative adversarial network (GAN), from there the model learns how to create images mimicking the person the dataset is based on.

Just a side note, hundreds of images on an individual are required to generate new images. This means you can’t supply the model with four or five images of someone and expect it to create a video. Models work best when more information is available to them. A key thing to remember when dealing with AI is “the more in, the better out.”

They’re Faking it

You’re on a date, things are going well, and the connection “feels” real. However, this is done in an effort to conserve your feelings. After finding out your date was putting in a playtime shift and more likely wants to see other people, you venture to embarrass them by posting some “not so covered” photos of them online. This scenario is just an example of the use cases for deepfakes.

They can be something small as creating a funny picture for a good laugh, new meme, or it can be vicious as recreating their image in comprising positions. Positions that could lead to some hard times if reputations are tarnished and careers are lost. So, use it with caution.

AI may have everyone else fooled, but not me. Something looks a little off here.
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Exercising caution, Spotting the Fakes

We humans have an eye for spotting something that- to us just doesn’t look right. Trying to spot a deepfake can be challenging depending on how well the image was generated. The obvious telltale signs are an extra limb, appendage, eyeball, or extra anything that typically wouldn’t be on a human.

A reason for this to happen is the model was fed information on a person but not fed the limitations that would make the image of a person normal. Confusing, we know but understand computers don’t think the same way humans do. We speak in a way we can understand what we “mean” or what we “meant” to say. Computers cannot compute abstract meanings.

Other signs include but are not limited to, awkward facial movements, displaced lighting and shadows, and audio that could appear mismatched or just off to how the person would sound. In short, go with your gut feeling. Most often you’ll be right.

Laws Against Deepfakes

The legal landscape surrounding deepfakes is still evolving. In the United States, there is no comprehensive federal legislation specifically addressing deepfakes, but several states have enacted laws to combat their misuse.

For example, Texas has banned deepfakes intended to influence elections, while California prohibits the creation of deepfake videos of politicians within 60 days of an election. At the federal level, the proposed DEFIANCE Act aims to allow victims to sue creators of non-consensual deepfake pornography.

The Benefits of Deepfakes

Despite their potential for harm, deepfakes also offer several benefits. In the healthcare industry, they can be used to create realistic training simulations for medical professionals.

In marketing, deepfakes can lower the cost of video campaigns and provide hyper-personalized experiences for customers. Additionally, deepfakes have creative applications in the arts, allowing for innovative storytelling and the preservation of cultural heritage.

Conclusion

Deepfakes represent a powerful and controversial technology with far-reaching implications. While they offer exciting possibilities for entertainment, education, and marketing, they also pose significant risks to privacy, security, and trust.

As deepfake technology continues to evolve, it is crucial to develop robust detection methods and legal frameworks to mitigate its potential harms while harnessing its benefits for positive use.

Again, it never ceases to surprise us how quickly people resort back to primitive needs when it comes to technology. We’re not shaming, the lizard brain is strong but as technology evolves, the idea is we evolve with it.

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Understanding Zero Trust: Principles, Strategies, and Impacts

Key Takeaways

Core Concepts

  • Zero Trust: A security model assuming no implicit trust for users, devices, or applications, regardless of location.
  • Explicit Verification: Requires authentication and authorization based on multiple data points.
  • Least Privilege Access: Grants minimal necessary access to resources.
  • Assume Breach: Design systems assuming a breach has already occurred.

Principles

  • Verify Explicitly: Authenticate and authorize based on all available data.
  • Use Least Privilege Access: Limit user access through JIT/JEA, risk-based policies, and data protection.
  • Assume Breach: Design systems with a breach mindset, including monitoring, logging, and response.

Implementation Strategies

  • Identity and Access Management (IAM): Implement strong authentication and authorization mechanisms.
  • Network Segmentation: Divide the network into smaller segments to limit lateral movement.
  • Endpoint Security: Ensure device security and compliance with security policies.
  • Continuous Monitoring and Analytics: Use SIEM and UEBA for real-time threat detection.
  • Data Protection: Encrypt data and implement DLP solutions.

Benefits

  • Enhanced Security: Reduces data breaches and unauthorized access.
  • Improved Visibility: Provides comprehensive visibility into network activity.
  • Reduced Attack Surface: Limits the potential impact of a breach.
  • Compliance: Helps organizations meet regulatory requirements.

Challenges

  • Complexity: Requires a thorough understanding of infrastructure and security needs.
  • Cost: Initial investment in Zero Trust technologies can be high.
  • Cultural Shift: Requires a change in mindset within the organization.
Developments are always on the horizon.
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Understanding Zero Trust: A comprehensive guide (sort of)

The landscape of cybersecurity doesn’t show any signs of slowing down, this means we have to grow along with it. The concept of Zero Trust has emerged as a critical framework for protecting sensitive data and systems. And before you ask which data and systems are important, it’s all of them.

Now, unlike security models of the past that rely on perimeter defenses, Zero Trust operates on the principle that threats can come from outside and inside the network. This gives credence to “The call is coming from inside the house.” That being said, we’ll be looking at the principles, implementation strategies, and benefits of Zero Trust. By the end of this post, you’ll be able to completely trust no one.

What is Trust?

Before we going understanding what zero trust is, first we have to understand what trust is. For most people, trust is something earned and not given. We as humans tend to make it clear that once someone has our trust, they pretty much hold the keys to the kingdom.

Trust is, and this is according to Google – is a feeling or expectation that can emerge from interactions with a person, group, or organization. Looking at any military or team sports activity we ultimately look for qualities in a person for us to say, “I feel like I can trust them.”

We mean, we wouldn’t want someone watching our back if we didn’t believe they had our best intentions at heart. So, yeah, trust is a big thing for everyone. Google also said trust can be built through patterns of behavior, discipline, simple rules, and collective habits.

We understand for many working right now internally, this must be a warzone for you as when you’re at work, the common course of action is to not trust coworkers, your boss, or anyone in human resources.

What is Zero Trust?

Now that we know what trust is, zero trust is a security model that assumes no implicit trust is granted to any user, device, or application, regardless of their location within or outside the network.

Every access request is thoroughly verified before granting access to resources. This approach minimizes the risk of unauthorized access and data breaches… well, at least try to.

Money is a good motivator to get people to venture into the dark side. Paying your workers a decent wage is what we’re getting at. Remember; if you pay well, you won’t pay hell.

Historical Context

To understand the significance of Zero Trust, it’s essential to look at the evolution of cybersecurity models. Traditional security models relied heavily on perimeter defenses, such as firewalls and intrusion detection systems (IDS).

These models operated on the assumption that threats primarily originated from outside the network. However, with the rise of insider threats, advanced persistent threats (APTs), and the increasing complexity of IT environments, the limitations of perimeter-based security became evident.

Always keep in mind, that humans are the oldest form of computers with the “choice” to upgrade && update however, emotions tend to get the best of us.

The Shift to Zero Trust

The shift to Zero Trust represents a fundamental change in how organizations approach security. Instead of assuming that everything inside the network is safe, Zero Trust assumes that threats can come from anywhere.

A good way to picture this is to imagine yourself as the little girl “Newt” in the movie “Aliens” and the army guys inform you “Everything is going to be all right.” You know they come out at night…mostly.

This shift is driven by several factors, including the rise of remote work, cloud computing, and the increasing sophistication of cyberattacks.

Core Principles of Zero Trust

Verify Explicitly: Always authenticate and authorize based on all available data points, including user identity, location, device health, and more.

Use Least Privilege Access: Limit user access with just-in-time and just-enough-access (JIT/JEA), risk-based adaptive policies, and data protection to minimize exposure.

Assume Breach: Design systems with the assumption that a breach has already occurred. This mindset encourages continuous monitoring, logging, and response to potential threats.

Principle 1: Verify Explicitly

The principle of explicit verification is at the heart of Zero Trust. This means that every access request is thoroughly vetted before granting access. This involves multiple layers of authentication and authorization, including:

Multi-Factor Authentication (MFA): Requiring multiple forms of verification, such as a password and a fingerprint, to ensure the user’s identity.

Contextual Authentication: Considering factors such as the user’s location, device, and behavior to determine the legitimacy of the access request.

Continuous Authentication: Continuously verifying the user’s identity throughout the session, rather than just at the point of login.

Principle 2: Use Least Privilege Access

The principle of least privilege access ensures that users only have the minimum level of access necessary to perform their tasks. This minimizes the potential damage that can be caused by compromised accounts. Key strategies include:

Role-Based Access Control (RBAC): Assigning permissions based on the user’s role within the organization.

Just-In-Time (JIT) Access: Granting temporary access to resources only when needed.

Just-Enough-Access (JEA): Providing only the necessary permissions required for a specific task.

Principle 3: Assume Breach

Assuming breach means designing systems with the expectation that a breach will occur. This proactive approach involves:

Segmentation: Dividing the network into smaller segments to contain potential breaches.

Monitoring and Logging: Continuously monitoring network activity and maintaining detailed logs to detect and respond to suspicious behavior.

Incident Response: Developing and regularly updating incident response plans to quickly address breaches when they occur.

No photo, no access.
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Implementing Zero Trust

Identity and Access Management (IAM): Implement strong authentication mechanisms such as multi-factor authentication (MFA) and single sign-on (SSO) to ensure that only authorized users can access resources.

Network Segmentation: Divide the network into smaller, isolated segments to limit lateral movement of attackers. Use micro-segmentation to enforce granular access controls.

Endpoint Security: Ensure that all devices accessing the network are secure and compliant with security policies. Use endpoint detection and response (EDR) solutions to monitor and mitigate threats.

Continuous Monitoring and Analytics: Implement real-time monitoring and analytics to detect and respond to anomalies and potential threats. Use security information and event management (SIEM) systems to aggregate and analyze security data.

Data Protection: Encrypt sensitive data both at rest and in transit. Implement data loss prevention (DLP) solutions to prevent unauthorized data exfiltration.

Identity and Access Management (IAM)

IAM is a critical component of Zero Trust. It involves managing user identities and controlling access to resources. Key elements include:

User Provisioning and Deprovisioning: Ensuring that users are granted access only to the resources they need and that access is promptly revoked when no longer required.

Authentication: Implementing strong authentication mechanisms, such as MFA and SSO, to verify user identities.

Authorization: Defining and enforcing access policies based on user roles and responsibilities.

Network Segmentation

Network segmentation involves dividing the network into smaller, isolated segments to limit the lateral movement of attackers. This can be achieved through:

Micro-Segmentation: Creating granular segments within the network to enforce strict access controls.

Virtual Local Area Networks (VLANs): Using VLANs to separate different types of traffic and enforce security policies.

Software-Defined Networking (SDN): Leveraging SDN to dynamically manage and enforce network segmentation.

Endpoint Security

Endpoint security ensures that all devices accessing the network are secure and compliant with security policies. Key strategies include:

Endpoint Detection and Response (EDR): Using EDR solutions to monitor and respond to threats on endpoints.

Device Compliance: Enforcing security policies on devices, such as requiring encryption and regular updates.

Mobile Device Management (MDM): Managing and securing mobile devices that access the network.

Continuous Monitoring and Analytics

Continuous monitoring and analytics are essential for detecting and responding to threats in real-time. Key components include:

Security Information and Event Management (SIEM): Aggregating and analyzing security data from various sources to detect anomalies and potential threats.

User and Entity Behavior Analytics (UEBA): Using machine learning and analytics to identify unusual behavior that may indicate a threat.

Threat Intelligence: Leveraging threat intelligence to stay informed about emerging threats and vulnerabilities.

Data Protection

Data protection involves securing sensitive data both at rest and in transit. Key strategies include:

Encryption: Encrypting data to protect it from unauthorized access.

Data Loss Prevention (DLP): Implementing DLP solutions to prevent unauthorized data exfiltration.

Access Controls: Enforcing strict access controls to ensure that only authorized users can access sensitive data.

In this scanner we trust.
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Benefits of Zero Trust

Enhanced Security: By continuously verifying access requests and limiting privileges, Zero Trust significantly reduces the risk of data breaches and unauthorized access.

Improved Visibility: Continuous monitoring and analytics provide comprehensive visibility into network activity, enabling faster detection and response to threats.

Reduced Attack Surface: Network segmentation and least privilege access minimize the potential impact of a breach by containing it to a limited area.

Compliance: Zero Trust helps organizations meet regulatory requirements by enforcing strict access controls and data protection measures.

Enhanced Security

Zero Trust enhances security by ensuring that every access request is thoroughly vetted and that users only have the minimum level of access necessary. This reduces the risk of data breaches and unauthorized access. Key benefits include:

Reduced Insider Threats: By limiting access and continuously monitoring activity, Zero Trust reduces the risk of insider threats.

Protection Against Advanced Threats: Zero Trust’s multi-layered approach provides robust protection against advanced threats, such as APTs and zero-day exploits.

Improved Visibility

Zero Trust provides comprehensive visibility into network activity through continuous monitoring and analytics. This enables organizations to:

Detect Threats Faster: Real-time monitoring and analytics help detect threats faster, allowing for quicker response and mitigation.

Gain Insights into User Behavior: By analyzing user behavior, organizations can identify unusual activity that may indicate a threat.

Reduced Attack Surface

Zero Trust minimizes the attack surface by enforcing strict access controls and network segmentation. This limits the potential impact of a breach by containing it to a limited area. Key benefits include:

Containment of Breaches: Network segmentation and micro-segmentation help contain breaches, preventing attackers from moving laterally within the network.

Minimized Exposure: Least privilege access ensures that users only have access to the resources they need, reducing the potential exposure of sensitive data.

Compliance

Zero Trust helps organizations meet regulatory requirements by enforcing strict access controls and data protection measures. Key benefits include:

Regulatory Compliance: Zero Trust’s robust security measures help organizations comply with regulations such as GDPR, HIPAA, and PCI-DSS.

Audit Readiness: Continuous monitoring and logging provide detailed records of network activity, making it easier to demonstrate compliance during audits.

Challenges and Considerations

Complexity: Implementing Zero Trust can be complex and requires a thorough understanding of the organization’s infrastructure and security needs.

Cost: The initial investment in Zero Trust technologies and solutions can be high, but the long-term benefits often outweigh the costs.

Cultural Shift: Adopting Zero Trust requires a cultural shift within the organization, as employees and stakeholders need to understand and embrace the new security model.

Conclusion

While implementing Zero Trust may present challenges, the benefits far outweigh the costs. If you’re a Fortune 500 company, paying your workers a decent living far outweighs the costs as well.

Enhanced security, improved visibility, reduced attack surface, and improved compliance are just a few of the advantages that organizations can reap. As the cyber threat landscape continues to evolve, embracing Zero Trust becomes not merely an option but a necessity.

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The Evolution of Privacy: From Physical Locks to Digital Encryption

Key Takeaways

The Importance of Privacy

  • Privacy is crucial in both the physical and digital worlds.
  • Protecting personal information is paramount in today’s digital age.

The Evolution of Privacy

  • Privacy has been a concern throughout history.
  • Methods of protecting privacy have advanced from physical locks to digital encryption.

Password Security

  • Strong passwords are essential for digital security.
  • Keyboard walk passwords are weak and easily guessable.
  • Using strong, complex passwords is crucial to prevent unauthorized access.

The Consequences of Weak Passwords

  • Weak passwords can lead to significant consequences, including identity theft and financial loss.
  • Cybercriminals often target weak passwords in their attacks.

Best Practices for Password Security

  • Create strong, unique passwords for each account.
  • Use a combination of uppercase and lowercase letters, numbers, and special characters.
  • Avoid common patterns and easily guessable information.
  • Utilize a password manager for secure storage.
  • Regularly update passwords.

Organizational Responsibility

  • Organizations have a role in promoting strong password practices.
  • Employee education and robust security policies are essential.
  • Continuous monitoring and threat response are crucial.
We know you’re home. We just want to talk to you about your extending your computer’s warranty.
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The Importance of Privacy in the Digital Age

Privacy is a critical aspect of our lives, and its importance cannot be overstated. In today’s digital age, where information is easily accessible and shared, maintaining privacy has become more challenging yet more crucial than ever. Whether it’s locking the doors of our homes, securing our cars, or protecting our online accounts, keeping our personal information safe is paramount. Although, some would argue that if hackers get into their accounts, they’re just practicing. To those people, we say, “Keep reading to find out just how wrong you are.”

The Evolution of Privacy

Historically, privacy has always been valued. From ancient times when people used physical locks and secret codes to protect their belongings, to the modern era where digital encryption and cybersecurity measures are employed, the methods of safeguarding privacy have evolved significantly. However, the fundamental principle remains the same: keeping secrets secret.

The Digital Lock and Key

In the digital world, the concept of a lock and key translates to passwords and encryption. Just as we wouldn’t use a flimsy lock for our homes, we shouldn’t use weak passwords for our online accounts. The strength of a password is akin to the strength of a lock – the stronger it is, the harder it is for intruders to break in.

Understanding Keyboard Walk Passwords

What is a Keyboard Walk Password?

A keyboard walk password is created by moving sequentially over the keyboard keys in a pattern that resembles walking. These passwords are formed by keys that are next to each other on the keyboard, such as “qwerty” or “asdfgh.” This pattern can be in a straight line across, vertically down, or in a zigzag pattern. In a sense, this is hitting the easy button for creating passwords. Never hit the easy button when it comes to your security.

Why Do People Use Keyboard Walk Passwords?

End users often create keyboard walk passwords because they are easy to remember. When given the choice of prioritizing speed and ease of memorization over security, many people opt for these simple patterns. However, this convenience comes at a cost. And the cost could run steep.

The Risks of Keyboard Walk Passwords

Keyboard walk passwords are highly predictable and easily guessable. Cybercriminals are well aware of these patterns and often use them in their brute-force attacks. A brute force attack involves trying every possible combination of characters until the correct password is found. Since keyboard walk passwords follow a predictable pattern, they are among the first combinations that attackers try. So, in the sense of the hacker, let’s try every key.

How was I to know hitting the spacebar three times was going to be a weak password!?
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The Consequences of Weak Passwords

Loss of Privilege

One of the most significant risks of using weak passwords is the potential loss of privilege. If an attacker gains access to an account with administrative privileges, they can cause significant damage. This can include stealing sensitive information, installing malware, or even taking control of entire systems.

Real-World Examples

According to a study by Specops Software, keyboard walk patterns are widespread in compromised passwords. For example, the pattern ‘qwerty’ was found over 1 million times in an analyzed set of 800 million compromised passwords. This statistic highlights the prevalence and risk associated with using such weak passwords.

Best Practices for Creating Strong Passwords

The Importance of Strong Passwords

Creating strong, lengthy passwords is one of the most effective ways to protect your online accounts. A strong password is difficult for attackers to guess and can significantly reduce the risk of a successful brute-force attack.

How to Create Strong Passwords

  1. Use Passphrases: Instead of a single word, use a passphrase. A passphrase is a sequence of words or a sentence that is easy for you to remember but difficult for others to guess. For example, “The Sun will come out Tomorrow” is a strong passphrase.
  2. Include a Mix of Characters: Use a combination of uppercase and lowercase letters, numbers, and special characters. This increases the complexity of the password.
  3. Avoid Common Patterns: Steer clear of keyboard walk patterns, repeated characters, and easily guessable information like birthdays or names.
  4. Use a Password Manager: A password manager can generate and store complex passwords for you, so you don’t have to remember them all.

Regularly Update Your Passwords

It’s also essential to update your passwords regularly. Even the strongest passwords can become compromised over time, so changing them periodically adds an extra layer of security.

Having a strong password is like having a strongman for a bouncer. People are less likely to try.
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The Role of Organizations in Promoting Strong Password Practices

Educating Employees

Organizations play a crucial role in promoting strong password practices. By educating employees about the risks of weak passwords and the importance of creating strong ones, organizations can significantly reduce the risk of cyberattacks.

Implementing Security Policies

Implementing robust security policies, such as requiring employees to use strong passwords and change them regularly, can further enhance security. Additionally, organizations can use multi-factor authentication (MFA) to add an extra layer of protection.

Monitoring and Responding to Threats

Organizations should also monitor for potential security threats and respond promptly to any incidents. This includes regularly reviewing and updating security measures to stay ahead of emerging threats.

Conclusion

In conclusion, while keyboard walk passwords may be convenient, they pose a significant security risk. By understanding the importance of strong passwords and implementing best practices, both individuals and organizations can protect their sensitive information and reduce the risk of cyberattacks. Remember, the strength of your password is the first line of defense in keeping your digital life secure. And a better line of defense is staying informed.


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