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In this lesson,

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we will learn about Design Mitigations.

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Design mitigations involve strategically incorporating

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security measures during the system design phase

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to prevent or reduce the impact of vulnerabilities.

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Design mitigations include security design patterns,

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defense-in-depth, and dependency management.

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Security design patterns are best practices

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such as input validation, least privilege,

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and secure defaults that guide the secure architecture

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of IT systems.

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Next, defense-in-depth is a layered security approach

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where multiple protective measures are implemented

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to provide redundancy, ensuring that if one layer fails,

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others remain to protect a critical system.

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Finally, dependency management involves carefully selecting,

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monitoring, and updating external libraries or components

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to prevent security flaws in third-party dependencies.

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Let's learn more about security design patterns,

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defense-in-depth, and dependency management.

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First, we have security design patterns.

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Security design patterns are established practices

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that guide secure system architecture,

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helping developers build security measures

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directly into application structures.

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These security design patterns include input validation,

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least privilege, secure defaults,

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as well as error handling and logging,

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which establish a security foundation right from the start.

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By adhering to these best practices

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throughout the development process,

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developers can create applications

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that handle potential vulnerabilities proactively

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rather than reactively,

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reducing the chances of security breaches.

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Each security design pattern addresses a specific aspect

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of security, making them practical and targeted solutions

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for common threats.

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To get a better picture of how this works,

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let's imagine a website handling user data

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that applies the security design pattern

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of input validation.

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This pattern ensures that any data entered by a user

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is checked and filtered to prevent harmful inputs

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like SQL injection, which could compromise

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the website's database.

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By validating inputs through a security design pattern,

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the website blocks malicious attempts to exploit the system.

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This input validation security design pattern

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is just one example of how security design patterns

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prevent common vulnerabilities

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by reinforcing the application's resilience against attacks

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at a structural level.

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So to mitigate design vulnerabilities,

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incorporate security design patterns early

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and throughout the development process.

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Using design patterns like least privilege,

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developers can ensure that users and applications

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only have access to what they need to function,

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limiting the damage should a breach occur.

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Likewise, a security design pattern like secure defaults

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configure applications to the safest settings by default,

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reducing accidental misconfigurations or unsafe settings.

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Finally, security design patterns

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are not just for development,

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they also influence how the application operates

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within the broader IT environment.

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As such, they become especially effective

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when consistently applied across all aspects

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of the IT system,

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creating a security-focused design

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that naturally resists unauthorized access

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and minimizes risks even in production.

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Second, we have defense-in-depth.

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Defense-in-depth is a layered security approach

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that builds multiple protective measures into a system,

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ensuring redundancy.

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With defense-in-depth,

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the goal is to provide multiple layers of defense

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around critical assets

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rather than just around the network perimeter.

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This layered approach protects essential data, applications,

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and systems within the network itself,

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ensuring that if an attacker breaches the perimeter,

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additional protections still secure critical assets.

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Each layer of our defense-in-depth

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is designed to address different attack vectors

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with controls like encryption, access controls,

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intrusion detection, and network segmentation,

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safeguarding the system from multiple angles.

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This strategy ultimately strengthens overall security

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by embedding defenses throughout the network,

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prioritizing high value or sensitive assets,

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rather than relying solely on a secure perimeter.

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For example, consider a database

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containing sensitive customer information

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within an online banking application.

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This critical database is protected by multiple layers

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of defense-in-depth, including firewalls, encryption,

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strict access controls, and continuous monitoring.

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If an attacker manages to bypass the firewall,

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encrypted data still remains unreadable

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without the decryption key,

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and access controls further restrict user privileges

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to prevent unauthorized data manipulation.

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This layered security provides a reassurance

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for the organization and its users

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as multiple fail safes ensure

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that sensitive customer information remains secure

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even if one layer is compromised.

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So to implement defense in depth effectively,

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organizations should combine different security technologies

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each tailored to protect against specific threats,

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regularly updating and testing these layers

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to ensure they remain effective over time.

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Then, by distributing security measures

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across different parts of the system,

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defense-in-depth creates a robust security environment

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that can handle the diverse and evolving threats

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that modern systems face, maintaining security

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even when individual protections are circumvented.

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Third and last, we have dependency management.

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Dependency management involves monitoring

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and maintaining third-party libraries and components

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to ensure they don't introduce security flaws

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into an IT system.

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This could happen because many applications

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rely on external dependencies to function,

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but these dependencies can become security risks

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if they are outdated or contain vulnerabilities.

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So through careful selection, regular monitoring,

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and timely updating,

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dependency management minimizes the security risks

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associated with third-party components.

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A good analogy for dependency management is car maintenance,

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where each part is essential

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to the vehicle's overall performance.

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Now, just as a mechanic checks for worn out

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or defective parts to prevent breakdowns,

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developers monitor third-party dependencies

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to avoid potential vulnerabilities.

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An outdated or insecure library

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can expose the application to attacks,

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much like a faulty part can compromise vehicle safety.

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So by regularly updating dependencies,

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developers ensure their applications run securely

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and avoid unnecessary risks from outdated components.

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As you may have guessed,

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preventing issues in dependency management

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requires a proactive approach.

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Development teams should regularly audit their dependencies,

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check for updates or patches,

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and assess potential security risks

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associated with each external library, module,

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or third-party tool that an application relies on.

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Using automated tools for vulnerability scanning

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and integrating dependency checks

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into the development pipeline

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can also help automate this process and catch issues early.

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In the end, with effective dependency management,

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organizations reduce the risk of security flaws

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while benefiting from the functionality and innovation

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that third-party components offer.

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So remember, design mitigations

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focus on embedding security measures

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during the system design phase

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to prevent or minimize vulnerabilities.

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These include approaches like security design patterns,

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defense-in-depth, and dependency management.

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Security design patterns are best practices

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such as input validation, least privilege,

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and secure defaults that guide the secure architecture

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of applications and systems.

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Next, defense-in-depth is a layered approach

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that implements multiple protective measures

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around critical assets, ensuring redundancy

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so that if one layer fails,

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others continue to protect the system.

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Finally, dependency management involves carefully selecting,

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monitoring, and regularly updating third-party libraries

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or components to prevent security flaws

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that could arise from using outdated

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or vulnerable dependencies.

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Altogether, these design mitigations

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enable a proactive, structured approach

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to security that supports robust and resilient IT systems.

