Think of modern software like an electric vehicle’s onboard system. No matter how sleek the design or powerful the engine, if the underlying control software is flawed, the entire vehicle becomes unreliable—and even dangerous. So, in software development, security cannot be an afterthought. It must be built into the foundation from day one.
In this domain, we examine the essential principles that underpin secure software—confidentiality, integrity, and availability (CIA)—as well as supporting pillars such as authentication, authorization, accountability, session and error management, and secure configuration.
But foundational knowledge alone is not enough. Modern software professionals must understand how to apply security principles throughout the development lifecycle, integrating risk management, governance, and compliance considerations from the outset. This domain also introduces trusted computing principles and the implications of failing to meet regulatory and privacy mandates.
Secure software is not merely functional—it actively resists exploitation and limits the blast radius of attacks when they occur. The concepts covered here are essential not just for developers, but for anyone involved in designing, building, or maintaining software systems. Mastering them is the first step toward creating applications that are not only innovative, but also trustworthy.
Now that we’ve established why secure software concepts are critical it's time to shift gears and explore what these foundational concepts actually entail.
Confidentiality is the principle of preventing unauthorized access to information. It is about keeping secrets secret. For example: A hospital stores patient records in an electronic health system. If an attacker gains access to these records due to poor access controls or unencrypted storage, it violates patient confidentiality, possibly leading to identity theft and legal consequences under HIPAA.
Confidentiality applies across three states of data:
Data at rest: stored in files, databases, or storage systems.
Data in transit: moving across networks or communication channels.
Data in process: actively being used or manipulated in memory.
Confidentiality ensures that data is accessible only to those with proper authorization and protects sensitive information from being disclosed to unintended individuals or systems. However, it can be compromised by a variety of attacks and poor practices.
Using custom or weak encryption algorithms.
Failing to protect encryption keys.
Sharing sensitive documents through insecure channels.
Ignoring least privilege principles in access control.
Lack of employee awareness about confidentiality protocols.
Protecting confidentiality requires layered defenses that combine technology, processes, and people.
Encryption: Use strong, approved cryptographic algorithms and key management practices.
Access Control: Implement Role-Based Access Control (RBAC) and enforce the principle of least privilege.
Authentication: Enforce multi-factor authentication (MFA) to verify user identity.
Network Security: Use VPNs, TLS, and network traffic padding to prevent interception.
Monitoring: Log access attempts and audit data use regularly.
Data Classification: Tag data according to its sensitivity to control who can see what.
Personnel Training: Educate users on proper handling of sensitive data and social engineering risks.
Integrity refers to the protection of the reliability, accuracy, and correctness of data throughout its lifecycle. It ensures that information is not altered—either maliciously or accidentally—by unauthorized entities, and that the systems and processes responsible for data handling remain un-compromised.
For example: In online banking, if a hacker intercepts and modifies a fund transfer request from $100 to $10,000, the integrity of the transaction is compromised. This can result in financial loss and a loss of customer trust.
Unauthorized Access or Modification: Changes made by attackers or insiders without permission.
Malware and Viruses: Introduce unintended or malicious alterations to data.
Software Bugs or Misconfigurations: Lead to accidental data corruption.
Unvalidated Inputs: Allow injection of harmful data through applications.
Man-in-the-Middle (MITM) Attacks: Modify data in transit.
Incomplete Backups or Recovery Failures: Restore inaccurate or partial data.
Access Control: Implement strict role-based permissions to limit who can modify data.
Input Validation: Sanitize and validate user inputs to prevent injection attacks.
Checksums and Hashing: Use cryptographic hash functions to verify data integrity.
Digital Signatures: Authenticate source and ensure data has not been tampered with.
Audit Logs: Maintain tamper-evident logs of all data changes and system access.
Version Control: Track changes and restore previous, trusted versions when needed.
Change Management: Use structured approval processes for system and data modifications.
Regular Integrity Checks: Automate file integrity monitoring (FIM) and conduct periodic reviews.
Availability ensures that authorized users have timely and uninterrupted access to information, services, and systems when needed. It also involves denying access to unauthorized users at all times. For example: An e-commerce site experiences a DDoS attack during Black Friday sales. Legitimate customers can’t access the platform, leading to lost revenue and a damaged brand reputation. The availability of the service is breached.
This principle is essential for maintaining operational continuity and supporting business functions, especially for mission-critical systems where even minimal downtime is unacceptable.
Hardware Failures: Disk crashes, server outages, or power supply issues.
Software Bugs: Faulty code, memory leaks, or update failures.
DDoS Attacks: Overwhelming systems with illegitimate traffic.
Environmental Disruptions: Natural disasters, overheating, or power loss.
Network Congestion or Misconfiguration: Bottlenecks or incorrect routing.
Human Errors: Accidental deletions, misconfigurations, or resource mismanagement.
Resource Exhaustion: Under-provisioned infrastructure unable to meet demand.
Redundancy – Use duplicate hardware, RAID, and redundant network paths.
High Availability Design – Implement failover clusters and load balancing.
Backups and Replication – Perform regular backups and real-time replication across locations.
Disaster Recovery Plans (DRP) – Create and test recovery procedures for major outages.
DDoS Protection – Deploy anti-DDoS tools, rate limiting, and traffic filtering.
Monitoring and Alerts – Use real-time monitoring to detect and respond to performance issues.
Scalability – Design systems to handle growing demand without service degradation.
Business Continuity Planning (BCP) – Prepare for unexpected disruptions with resilient processes.
Site Diversity – Host critical systems in geographically dispersed data centers.
Authentication is the process of verifying the identity of a user, system, or entity before granting access to resources. It answers the question, "Are you who you claim to be?" This verification step is fundamental to secure access control and is essential for preventing unauthorized access.
Weak Passwords: Easily guessable or reused credentials.
Credential Theft: Via phishing, keyloggers, or data breaches.
Brute-force and Dictionary Attacks: Automated attempts to guess passwords.
Poor Session Management: Session hijacking or token reuse.
Shared or Hardcoded Credentials: Lack of accountability and traceability.
Insecure Authentication Mechanisms: Use of outdated or unencrypted protocols.
Lack of MFA (Multi-Factor Authentication): Over-reliance on passwords alone.
Use Strong, Unique Passwords: Enforce password complexity and rotation policies.
Enable Multi-Factor Authentication (MFA): Combine something you know, have, or are.
Avoid Credential Reuse: Promote password managers to generate/store strong credentials.
Implement Account Lockout Mechanisms: Block brute-force attacks with rate limiting.
Use Modern Authentication Protocols: Prefer OAuth2, SAML, or OpenID Connect over legacy systems.
Secure Credential Storage: Hash passwords with strong algorithms (e.g., bcrypt, Argon2).
Monitor Authentication Logs: Detect anomalies and unauthorized access attempts.
Educate Users: Raise awareness on phishing and social engineering attacks.
Use Biometrics or Hardware Tokens: Add advanced factors for critical systems.
Regularly Audit and Rotate Credentials: Especially for service and admin accounts.
Authorization is the process of determining what an authenticated user, system, or entity is allowed to do. For example: A junior employee accidentally gains admin-level access to sensitive HR data due to a misconfigured access control list. Even though the employee was authenticated correctly, the system failed to enforce proper authorization.
Authorization answers the question, "What are you allowed to access or perform?" Once identity is verified through authentication, authorization enforces policies to control access to resources, actions, and data.
Over-privileged access (users granted more permissions than needed)
Improper role assignments or lack of role-based access control (RBAC)
Broken access control mechanisms in applications
Failure to revoke access when roles or employment change
Hardcoded or static permission logic not aligned with dynamic needs
Implement Principle of Least Privilege
Use Role-Based Access Control (RBAC) or Attribute-Based Access Control (ABAC)
Separate authentication and authorization logic
Regularly review and audit permissions
Use access control lists (ACLs) or policy engines
Enforce just-in-time access for sensitive operations
Log and monitor all authorization-related activities
Accountability ensures that actions within systems can be traced to individuals or entities, promoting responsibility and transparency. It relies on mechanisms like auditing and logging to record who did what, when, and where. This supports compliance, incident investigation, non-repudation, and behavioral monitoring.
For example: An insider deletes critical files and tries to cover their tracks. However, tamper-evident audit logs reveal who accessed the files, when, and from where, enabling investigators to trace the action and hold the user accountable.
Auditing is a passive detective control, providing a trace of actions after they occur. It can also serve as a deterrent control, as users aware of logging are less likely to engage in malicious activities.
Missing or incomplete logs
Log tampering or lack of integrity checks
Lack of centralized log management
Insufficient log retention
Failure to monitor or review logs regularly
Poor time synchronization (e.g., unsynced clocks across systems)
Logging every action—especially in real-time—can slow down system performance.
Excessive logging can obscure critical events, making it harder to spot real issues.
Log data can grow rapidly, requiring careful storage and archival strategies.
If attackers disable or modify audit settings, malicious actions may go unrecorded.
Logs must be treated as sensitive assets—unauthorized access could lead to information disclosure or tampering.
Enable comprehensive logging at application, system, and network levels.
Classify logs (e.g., Informational, Administrative, Business-Critical, Security) for easier filtering and review
Use secure, centralized log collection systems (e.g., SIEM)
Implement log integrity mechanisms (e.g., hashing, immutability)
Synchronize system clocks using NTP to ensure accurate timestamps
Establish log retention policies aligned with compliance needs
Conduct regular log reviews and audits
Alert on anomalous activities (e.g., privilege escalation, failed logins)
Ensure access to logs is restricted and monitored
Non-repudiation ensures that individuals or systems cannot deny their actions, such as sending a message, performing a transaction, or accessing data. It provides proof of origin and delivery, ensuring that both sender and recipient cannot later claim they didn’t participate in the communication or action.
Lack of digital signatures or secure logging
Shared credentials (e.g., generic admin accounts)
Inadequate identity verification processes
Tampered or deleted logs
No proof of transaction origin or receipt
Use digital signatures to prove message or transaction origin
Implement strong authentication tied to individual users
Maintain secure audit trails with tamper-evident logs
Ensure timestamped records of transactions and actions
Prevent shared or generic accounts; enforce accountability
Use certificates and PKI (Public Key Infrastructure) for proof of identity
Archive logs securely for legal and forensic purposes
Enforce multi-factor authentication (MFA) to tie actions to specific users
In modern software development, security must be an integral part of the design process rather than an afterthought. The "Secure by Design" approach ensures that security is embedded at every stage of software development, from initial architecture to deployment. This methodology significantly reduces vulnerabilities and strengthens the resilience of applications against cyber threats.
Secure by Design is a software development philosophy that prioritizes security from the outset rather than treating it as a reactive measure. It involves proactively identifying and mitigating security risks by following structured security design principles. While there is no single formula for perfect security, established security design principles help guide the decision-making process. By doing so, developers can create robust systems that are inherently more resistant to attacks.
Security design principles are not rigid rules but rather broad guidelines based on industry experience and best practices. These principles help software architects avoid insecure designs and ensure robust system security. While they do not guarantee absolute security, applying them improves a system’s overall security posture.
Minimizes Security Risks from the Start
Addressing security concerns at the design phase significantly reduces the likelihood of introducing vulnerabilities that can be exploited later. It is far more cost-effective to prevent security flaws than to fix them post-deployment.
Enhances Software Reliability and Trust
Secure software fosters user trust by ensuring the confidentiality, integrity, and availability of sensitive data and services. Businesses and end-users are more likely to adopt solutions that demonstrate a commitment to security.
Compliance with Regulatory and Industry Standards
Many regulatory frameworks (e.g., GDPR, HIPAA, ISO 27001) require secure design practices to protect user data. Secure by Design facilitates compliance, reducing legal and financial risks associated with data breaches.
Reduces Long-Term Costs
Security breaches can result in significant financial losses, reputational damage, and operational disruptions. By integrating security early, organizations can avoid the high costs of remediation, incident response, and legal consequences.
Adapts to Evolving Cyber Threats
Cyber threats continue to evolve, making it crucial to design systems that can withstand new attack techniques. Secure by Design provides a framework for developing resilient software that can be easily updated and maintained against emerging threats.
Security professionals have long recognized key secure design principles, many of which were first introduced in 1975 by Jerome H. Saltzer and Michael D. Schroeder in their seminal paper, The Protection of Information in Computer Systems. These principles remain relevant today and provide a solid foundation for building secure software.
Each (human) user and program should operate using the fewest privileges possible. This principle limits damage from accidents, errors, or attacks. It also reduces the number of potential interactions among privileged programs, decreasing the likelihood of unintentional, unwanted, or improper uses of privilege.
Ways of implementation of Least Privilege
Granular Access Control: Implement granular access control to restrict both system and data access, granting only the absolute minimum privileges necessary for a program to function correctly.
Privilege Dropping: Drop extra privileges early in execution to limit potential exploitation. Provide language/framework specific examples.
Temporary Privilege Elevation: If permanent privilege dropping is not feasible, minimize the time the privilege is active. Implement Just-in-Time (JIT) access where possible.
Modular Design and Privilege Separation: Break the program into distinct modules, granting special privileges only where required. Employ a mutually suspicious design where privileged components do not fully trust others.
Attack Surface Reduction: Minimize the attack surface by limiting accessible operations and disabling unnecessary debug features in production environments.
Input Validation: Enforce strict input validation to prevent attackers from injecting malicious data.
Sandboxing and Isolation: Restrict application capabilities by running programs in controlled, isolated environments with limited permissions (e.g., containers, virtual machines).
Resource Access Control: Apply least privilege to file system and other resource access, preventing unauthorized access by restricting read, write, and execute permissions.
Role and Attribute-Based Access Control: Implement RBAC or ABAC to manage permissions based on user roles or attributes, respectively.
Secrets Management: Utilize secure secrets management tools to protect sensitive credentials and grant access only when required.
Logging and Auditing: Implement comprehensive logging and auditing to monitor privilege usage and detect anomalies.
Regular Privilege Reviews: Conduct periodic reviews of assigned privileges to identify and remove unnecessary permissions.
Complete mediation ensures that authority is not bypassed when a subject requests access to an object. Authorization (rights and privileges) must be verified on every request, preventing unauthorized escalation of access or privilege retention after permissions change.
Key Considerations:
Non-bypassability: The security enforcement mechanism must be placed in a manner that makes it impossible for an attacker to evade access controls.
Performance vs. Security: While caching access decisions can enhance performance, it introduces risks if permissions change and cached decisions are not invalidated.
Trust Boundaries: Security checks should always be performed in an environment that the system owner fully controls. Running checks in an untrusted environment increases the risk of bypassing security measures.
Some common warning signs of an insecure implementation includes
Performing security-relevant input validation on a client-side system without rechecking on a trusted server.
Storing sensitive data in a location an attacker can modify (e.g., relying on client-side authentication tokens without proper expiration and verification).
Implementing access control via obfuscation instead of robust security enforcement mechanisms.
Relying on weak network protocols or not enforcing encryption for sensitive communications.
Best Practices
By strictly enforcing complete mediation, organizations can prevent unauthorized access and mitigate the risk of security breaches resulting from circumvented security mechanisms.
Enforce Access Control on the Server-Side: Ensure all access checks are executed in a controlled, secure environment.
Invalidate Cached Permissions When Changes Occur: Implement mechanisms to refresh access control decisions dynamically.
Secure Communication Channels: Use end-to-end encryption to prevent interception and tampering.
Minimize Trust in Untrusted Systems: Assume client-side security can be bypassed and validate all security-sensitive actions on a trusted platform.
Adopt Defense-in-Depth: Layer multiple security controls to mitigate the risk of bypassing a single security measure.
This principle states that the security mechanisms should be as simple as possible while still being effective. Complex systems increase the likelihood of errors, misconfigurations, and vulnerabilities, making security harder to manage and verify.
While modern software requires extensive functionality, security-critical elements should remain minimal and straightforward. Simplicity enhances security by reducing attack surfaces, improving maintainability, and facilitating thorough security reviews. A well-designed security system should be easy to understand, implement, and audit.
Keep It Simple: Design security controls that are easy to understand, implement, and maintain.
Reduce Dependencies: Minimize reliance on third-party libraries, complex integrations, or unnecessary frameworks.
Use Secure Defaults: Provide straightforward, secure configurations out of the box to prevent misconfigurations.
Conduct Regular Security Reviews: Ensure that security mechanisms remain simple, effective, and aligned with best practices.
Automate Where Possible: Reduce human error by automating security controls and monitoring.
Security should not rely on secrecy of design or implementation. Instead, systems should be built on well-vetted, publicly reviewed security principles and mechanisms. Security by obscurity is not a reliable defense.
An open security design assumes that attackers have full knowledge of the system’s architecture and implementation. True security comes from strong cryptographic algorithms, robust access controls, and well-implemented security policies—not from hiding the system's inner workings. Transparency allows for peer review, continuous improvement, and trust in the system’s integrity.
Follow Established Security Standards: Use open, well-tested security models and algorithms.
Encourage Security Audits: Allow independent security professionals to review and test security mechanisms.
Use Open Security Protocols: Rely on widely accepted cryptographic and communication security protocols.
Separate Security from Confidentiality: Design security mechanisms to remain effective even if an attacker understands their inner workings.
Promote Responsible Disclosure: Have a process for reporting and fixing security vulnerabilities transparently.
Fail-safe defaults ensure that security is maintained even when unexpected failures occur. If a system component fails, it should not automatically permit access or assume trust. Instead, it should restrict access until the issue is resolved. This principle minimizes the risk of unauthorized access due to system errors, misconfigurations, or outages.
Explicitly Deny Access by Default: Ensure that all access control mechanisms enforce the deny-by-default model.
Secure Authentication Failures: If authentication fails or the service is unavailable, do not allow access.
Handle Errors Securely: If an unexpected failure occurs, do not assume security checks have passed—treat them as failed and restrict access.
Ensure Secure System Recovery: When recovering from failures, verify security configurations before restoring full operations.
Regularly Test Failure Scenarios: Conduct security testing and incident response drills to confirm that failures do not introduce vulnerabilities.
Separation of privilege reduces the risk of unauthorized access and privilege escalation by requiring multiple independent conditions for high-impact actions. Instead of relying on a single decision point, access should depend on multiple factors, such as different user roles, multi-party approval, or multi-factor authentication (MFA).
Enforce Multi-Factor Authentication (MFA): Protect privileged accounts with strong authentication measures.
Implement Dual Control for Critical Actions: Require approvals from multiple authorized users for high-risk operations.
Use Role-Based or Attribute-Based Access Control (RBAC/ABAC): Assign access based on user roles, job functions, and contextual attributes.
Apply Separation of Duties (SoD): Ensure that different individuals handle request, approval, and execution processes.
Audit and Monitor Privileged Access: Log and regularly review privileged actions to detect anomalies and enforce accountability.
The Least Common Mechanism principle states that system components should avoid sharing state, memory, or resources unless absolutely necessary. Shared mechanisms can become attack surfaces, allowing one compromised user or process to affect others. By reducing shared dependencies, security risks such as privilege escalation, data leakage, and side-channel attacks are minimized.
So, systems should be designed to minimize shared resources between users, processes, or components to reduce the risk of unauthorized access, unintended interactions, and security breaches.
Isolate Processes and Services: Ensure that different applications or services run in isolated execution environments.
Enforce Individual User Sessions: Users should not share active sessions or temporary credentials.
Reduce Dependence on Shared Resources: Minimize common mechanisms that process requests for multiple users.
Restrict Privileges on Shared Services: Ensure that any shared components operate with least privilege to limit risk exposure.
Regularly Review Shared Infrastructure Risks: Continuously evaluate and mitigate security risks associated with shared mechanisms.
This principle emphasizes that security controls should be easy to understand, use, and comply with. If security measures are too complex, users may attempt to bypass them, leading to weaker overall security. A balance must be maintained between security and usability to ensure user cooperation and adherence to security policies.
So, security mechanisms should be designed to be as seamless and non-intrusive as possible, ensuring they do not create unnecessary burdens for users.
Design Security for Usability: Security should be intuitive and not require excessive effort from users.
Use Risk-Based Authentication: Reduce unnecessary MFA challenges while maintaining security integrity.
Balance Security and Productivity: Avoid forcing security mechanisms that disrupt normal work processes.
Educate Users Without Overwhelming Them: Provide just-in-time security education rather than excessive, lengthy training sessions.
Implement Security by Default: Where possible, security should be built-in and automatic rather than optional or user-dependent.
In addition to these foundational principles, several other security principles have emerged over time, further enhancing secure design.
Never trust, always verify—Zero Trust is a security model that assumes no implicit trust for any user, device, or system, whether inside or outside the organization's network. Access is granted based on continuous verification, least privilege, and strict segmentation.
Zero Trust eliminates the outdated notion of a secure perimeter by enforcing identity verification, access controls, and continuous monitoring for every request, regardless of the request's origin. Security decisions are made based on real-time risk assessments rather than assumed trust.
Enforce Identity-Centric Security: Implement MFA, conditional access policies, and strong authentication methods.
Minimize Trust Levels: Adopt least privilege and role-based access control (RBAC) for users and workloads.
Segment and Isolate Sensitive Systems: Prevent unrestricted lateral movement by micro-segmenting critical assets.
Monitor and Analyze Security Events in Real-Time: Use SIEM, UEBA, and XDR solutions for proactive threat detection.
Automate Security Policies: Use policy-based access enforcement that adapts dynamically to user behavior and risk levels.
The attack surface is the sum of all points where an attacker can try to gain access to a system. Minimizing this surface reduces the potential entry points for malicious actors, thereby reducing the likelihood of successful attacks.
Minimizing the attack surface involves identifying and eliminating unnecessary components, services, or permissions within a system or network. By reducing the number of accessible points, organizations can limit the vectors through which an attack can occur. The goal is to ensure that only the essential parts of a system are exposed to users, while all unnecessary or vulnerable components are tightly controlled or removed.
Perform Regular Security Audits: Continuously review and assess the system to identify and eliminate unnecessary open ports, services, and permissions.
Implement Network Segmentation: Divide the network into smaller, isolated zones to restrict access and reduce the spread of attacks.
Limit External Interfaces: Reduce the number of exposed external-facing components, such as public-facing APIs or unnecessary services, by implementing firewalls and reverse proxies.
Use Configuration Management Tools: Leverage tools like Ansible, Chef, or Puppet to automate and enforce configurations that reduce the attack surface.
Ensure Proper Patch Management: Apply security patches promptly to known vulnerabilities in all components of the system, including operating systems, applications, and third-party software.
Security by obscurity refers to relying on the secrecy of design, code, or implementation as the primary method of securing a system. This practice is inadequate because once the obscurity is discovered, the system can be easily exploited. True security is achieved through robust and transparent security mechanisms, not by hiding or masking details.
Avoiding security by obscurity means that security should not depend on keeping the details of a system secret. Instead, security should be based on well-established, publicly reviewed, and proven mechanisms that withstand adversarial examination. While hiding certain information can sometimes help reduce immediate risks, it should not be considered a primary defense strategy. Security mechanisms should be strong enough to function effectively even when their internal workings are fully known.
Use Open Standards and Protocols: Ensure your security mechanisms, such as encryption, authentication, and access controls, are based on open, tested, and widely adopted standards.
Conduct Regular Security Audits and Penetration Testing: Continuously test and validate your security defenses against adversaries and industry standards.
Educate and Train Staff on Transparent Security Practices: Ensure all stakeholders are aware of the importance of security mechanisms being robust, transparent, and resilient.
Focus on Robust Defense Mechanisms: Emphasize secure design principles such as defense-in-depth, least privilege, and continuous monitoring over hiding system details.
Encourage Peer Reviews and Community Collaboration: Involve the broader security community in reviewing your security design, protocols, and mechanisms to identify weaknesses and improvements.
Security issues should be addressed comprehensively and correctly, rather than implementing temporary, quick fixes that might leave systems vulnerable or incomplete.
Fixing security issues correctly means addressing the root cause of vulnerabilities, applying appropriate patches or configurations, and ensuring that fixes do not introduce new problems. Security fixes should be part of a holistic approach, where each vulnerability is thoroughly understood, and the solution is integrated into the broader security posture of the organization. Quick fixes may seem like a fast solution, but they often fail to address underlying weaknesses and can create additional risks.
Perform Root Cause Analysis: Investigate and resolve the underlying cause of the vulnerability, rather than implementing surface-level fixes.
Test Fixes Before Deployment: Ensure all patches and fixes are tested in a controlled environment to ensure they work correctly and do not introduce new problems.
Validate Fixes and Monitor Systems: After fixing security issues, validate that the issue has been fully resolved and monitor the system for any signs of recurrence.
Implement Automated Security Patching: Use automated patch management tools to streamline the process of patching known vulnerabilities, while maintaining a manual review process for critical systems.
Update and Document Changes: Maintain detailed records of all security fixes, including who applied them, when, and why, so that all team members can stay informed and systems can be properly maintained.
Secure by Design is an essential approach for modern software development, ensuring that security is a foundational element rather than a reactive patchwork. By following well-established security design principles, organizations can build resilient, trustworthy, and compliant software systems that effectively withstand evolving cyber threats.
Security is an ongoing process, not a one-time implementation. By continuously applying secure design principles, developers can minimize risks, enhance system integrity, and protect sensitive data from malicious actors. Embracing Secure by Design is not just a best practice—it is a necessity in today’s digital landscape.
Mano Paul - Official (ISC)2 Guide to the CSSLP CBK (2013)
https://training.linuxfoundation.org/training/developing-secure-software-lfd121/
https://www.silverfort.com/glossary/principle-of-least-privilege/