Application Security: OWASP Top 10 Risks & 5 Best Practices

What Is Application Security?

Application security (AppSec) is the practice of protecting software applications from external and internal threats throughout their entire lifecycle, from design and development to deployment and maintenance. It involves identifying, fixing, and preventing vulnerabilities that attackers could exploit to compromise data, disrupt service, or gain unauthorized access. Security controls may be implemented at the application level, such as secure coding practices, authentication mechanisms, and encryption, or integrated into supporting infrastructure.

How application security works:

• Secure design: Building security controls directly into the architecture from the start.
• Testing and evaluation: Scanning custom code, third-party libraries, and APIs for vulnerabilities using tools like SAST and DAST.
• Runtime protection: Monitoring active applications to block exploits, unauthorized access, and anomalous behavior.

Common AppSec tools:

• SAST (Static Application Security Testing): Analyzes source code for security flaws.
• DAST (Dynamic Application Security Testing): Evaluates running applications externally to find vulnerabilities.
• IAST (Interactive Application Security Testing): Analyzes application behavior and code paths during runtime testing to identify vulnerabilities with execution context.
• SCA (Software Composition Analysis): Scans open-source dependencies for known risks.
• Penetration testing: Uses human-led attack simulations to find exploitable vulnerabilities, business logic flaws, and weaknesses automated tools may miss.
• API security testing: Tests API endpoints, authentication, authorization, input handling, and data exposure for API-specific vulnerabilities.

In this article:

• Why Is Application Security Important?
• How Application Security Works
• Examples of the Most Common Application Security Risks (OWASP Top 10)
• Application Security Testing Methods
• Key Types of Application Security Solutions
• Application Security Best Practices

Why Is Application Security Important?

Application security reduces the risk that vulnerabilities will lead to data breaches, service disruption, fraud, or unauthorized system access. Because applications often process sensitive data and connect to other critical systems, a single weakness can expose a much larger environment. Strong application security helps organizations address these risks before attackers can exploit them:

• Protects sensitive data: Security controls help prevent unauthorized access to customer information, credentials, financial records, intellectual property, and other sensitive data.
• Reduces the attack surface: Secure design, coding practices, and regular testing remove or limit vulnerabilities that attackers could use as entry points.
• Limits financial impact: Security incidents can lead to recovery costs, lost revenue, legal expenses, regulatory penalties, and increased operational overhead.
• Supports regulatory compliance: Many regulations and industry standards require organizations to protect applications and the data they process through appropriate security controls.
• Maintains application availability: Preventing attacks such as denial-of-service, injection, and account compromise helps keep applications accessible and reliable.
• Protects connected systems: Applications often interact with databases, APIs, cloud services, and internal networks. Securing the application helps prevent attackers from using it to reach these connected resources.
• Builds security into development: Finding vulnerabilities early in the software development lifecycle is usually faster and less expensive than fixing them after deployment.

How Application Security Works

Application security works by integrating technical and procedural safeguards into the software development lifecycle and production environments. This begins with secure design and coding practices, where developers are trained to avoid common pitfalls such as improper input validation or weak authentication. Automated tools like static and dynamic analysis are used to identify vulnerabilities early, while security testing and code reviews help catch issues before deployment. Security requirements are documented and enforced to ensure consistency across projects.

After applications are deployed, security controls such as firewalls, intrusion detection systems, and runtime protection monitor for suspicious activity and block known attack patterns. Patching and updating software components address newly discovered vulnerabilities, while incident response plans prepare organizations to react quickly if an attack occurs. Continuous monitoring and logging provide visibility into application behavior, helping teams detect and respond to threats in real time. This layered approach ensures that security is maintained throughout the application’s entire lifecycle.

Examples of the Most Common Application Security Risks (OWASP Top 10)

A01:2025 – Broken Access Control

Risk: Broken access control occurs when an application does not properly enforce what authenticated or unauthenticated users are allowed to do. Attackers may be able to view another user’s information, modify records they do not own, access administrative functions, or perform actions outside their assigned permissions. Access control weaknesses can affect URLs, APIs, application functions, files, and individual data records.

Example: An online banking application uses a URL containing an account identifier to display account details. The application checks whether the user is logged in but does not verify that the requested account belongs to that user. By changing the account identifier in the request, a user could potentially access another customer’s account information.

Mitigation strategies:

• Enforce authorization checks on the server side for every protected request.
• Follow a deny-by-default approach and grant access only when explicitly permitted.
• Verify ownership of individual records before allowing users to view, modify, or delete them.
• Apply the principle of least privilege to users, roles, services, and APIs.
• Log access control failures and generate alerts for repeated or suspicious attempts.
• Regularly test authorization rules for both horizontal and vertical privilege escalation.

A02:2025 – Security Misconfiguration

Risk: Security misconfiguration occurs when applications, servers, frameworks, databases, cloud services, or other components are deployed with insecure settings. Examples include unnecessary services, default accounts, excessive permissions, exposed diagnostic information, missing security headers, or publicly accessible cloud resources. Attackers can use these weaknesses to obtain sensitive information or gain access to functionality that should not be exposed.

Example: A company deploys a cloud storage bucket containing application backups. The bucket is mistakenly configured to allow public access. An attacker discovers the exposed storage and downloads backup files containing customer information and application configuration data.

Mitigation strategies:

• Establish hardened configuration standards for applications, servers, databases, and cloud services.
• Remove unnecessary features, services, accounts, sample applications, and development tools.
• Change or disable all default accounts and credentials.
• Prevent detailed stack traces and debugging information from being exposed to users.
• Configure appropriate security headers and restrictive permissions.
• Automate configuration deployment where possible so environments remain consistent.
• Regularly scan production environments for configuration drift and exposed resources.

A03:2025 – Software Supply Chain Failures

Risk: Software supply chain failures occur when weaknesses or compromises affect the components and processes used to build, distribute, or update an application. The risk includes vulnerable or malicious third-party libraries, outdated dependencies, compromised development tools, insecure repositories, and weaknesses in build or deployment systems. Because modern applications depend heavily on external software, compromising a single dependency can potentially affect many applications that rely on it.

Example: A development team adds a third-party package to an application without properly reviewing its source or reputation. The package later receives a malicious update that contains hidden code. Because the application’s build pipeline automatically downloads the latest version, the compromised package is incorporated into the production application.

Mitigation strategies:

• Maintain an accurate inventory or software bill of materials (SBOM) for dependencies and components.
• Track both direct and transitive dependencies.
• Obtain packages and development tools only from trusted repositories and suppliers.
• Continuously scan dependencies for known vulnerabilities and unsupported versions.
• Apply security updates based on risk and avoid unnecessary delays in patching critical components.
• Protect source repositories, package registries, CI/CD systems, and build infrastructure with strong access controls.
• Require review and separation of duties for sensitive development and production changes.

A04:2025 – Cryptographic Failures

Risk: Cryptographic failures occur when sensitive information is insufficiently protected because encryption is missing, incorrectly implemented, or based on weak cryptographic techniques. Problems can include outdated algorithms, predictable random values, exposed encryption keys, poor key management, weak password hashing, or failure to encrypt sensitive information during transmission or storage. These weaknesses can expose credentials, financial information, personal information, session data, or other confidential records.

Example: An application sends login credentials over an unencrypted HTTP connection. An attacker positioned on the same untrusted network could intercept the traffic and obtain the user’s username and password because the application does not protect the data with TLS.

Mitigation strategies:

• Encrypt sensitive data both in transit and, where appropriate, at rest.
• Use modern, well-established cryptographic algorithms and protocols.
• Require HTTPS/TLS for sensitive communications.
• Store passwords using strong, adaptive password-hashing algorithms rather than reversible encryption.
• Store cryptographic keys in dedicated key-management systems instead of source code.
• Rotate and revoke keys when appropriate.
• Use cryptographically secure random-number generators for tokens, identifiers, keys, and other security-sensitive values.
• Avoid deprecated algorithms, protocols, and insecure cryptographic modes.

A05:2025 – Injection

Risk: Injection occurs when untrusted data is sent to an interpreter and is incorrectly treated as part of a command or query rather than purely as data. Injection vulnerabilities can affect SQL databases, operating-system commands, LDAP queries, expression languages, and other interpreters. Successful exploitation may allow attackers to read or modify information, bypass application logic, or execute unauthorized operations.

Example: A website creates a database query by directly combining text entered into a search field with an SQL statement. Because the application does not separate user input from the SQL command, specially constructed input could alter the meaning of the query and potentially expose database records that the user should not be able to access.

Mitigation strategies:

• Use parameterized queries or prepared statements rather than constructing queries through string concatenation.
• Keep commands and queries separate from user-controlled data.
• Perform server-side allowlist input validation where appropriate.
• Apply context-aware encoding or escaping when data must be passed to an interpreter.
• Give application database accounts only the permissions they require.
• Use code review and security testing to identify injection vulnerabilities.
• Integrate SAST, DAST, IAST, and appropriate fuzz testing into the development process.

A06:2025 – Insecure Design

Risk: Insecure design refers to security weaknesses that originate in an application’s architecture, requirements, or business logic rather than simply from coding mistakes. In these cases, an important security control may be missing entirely or designed in a way that cannot adequately address the relevant threat. Even perfectly implemented code cannot fully correct a security control that was never included in the application’s design.

Example: An online ticketing platform offers discounted group reservations but does not place limits on how many reservations a customer can temporarily hold. An attacker could automatically reserve large numbers of seats without completing payment, preventing legitimate customers from purchasing them and disrupting the company’s business.

Mitigation strategies:

• Include security requirements during application planning and requirements gathering.
• Perform threat modeling for important workflows such as authentication, authorization, payment, and account recovery.
• Use established secure design patterns and reference architectures.
• Identify abnormal and abusive business-logic scenarios before implementation.
• Define secure failure states and validate assumptions throughout important workflows.
• Integrate security professionals into architecture and design reviews.
• Maintain a secure development lifecycle that incorporates lessons learned from testing and incidents.

A07:2025 – Authentication Failures

Risk: Authentication failures occur when an application cannot reliably verify that a user or system is who it claims to be. Weak passwords, ineffective login protections, insecure password-recovery mechanisms, poor session management, missing multi-factor authentication, or improperly validated authentication tokens can allow attackers to impersonate legitimate users.

Example: A customer portal allows unlimited login attempts and does not use multi-factor authentication. An attacker obtains usernames and passwords leaked from an unrelated website and automatically tests those credentials against the portal. Customers who reused their passwords could have their accounts compromised.

Mitigation strategies:

• Implement multi-factor authentication where appropriate, particularly for sensitive or privileged accounts.
• Prevent the use of known compromised and extremely weak passwords.
• Do not deploy applications with default or hard-coded credentials.
• Rate-limit, delay, or otherwise restrict repeated failed authentication attempts.
• Use secure password-recovery processes that properly verify the user’s identity.
• Generate a new, unpredictable session identifier following successful authentication.
• Invalidate sessions and authentication tokens after logout and appropriate idle or absolute timeouts.
• Validate token properties such as intended audience, issuer, and scope.
• Log and alert on suspicious authentication behavior such as credential stuffing or brute-force attempts.

A08:2025 – Software or Data Integrity Failures

Risk: Software or data integrity failures occur when an application assumes that software, updates, code, or important data can be trusted without verifying that it is authentic and has not been modified. This may affect software updates, CI/CD artifacts, external modules, serialized data, or other information crossing a trust boundary. If integrity is not verified, attackers may be able to introduce modified code or manipulate trusted application data.

Example: A device automatically downloads software updates from a remote server but does not verify a digital signature before installing them. If an attacker manages to substitute a modified update, the device could install the attacker’s software because it has no reliable mechanism for confirming that the update came from the legitimate vendor.

Mitigation strategies:

• Verify software and updates with trusted digital signatures or equivalent integrity mechanisms.
• Obtain dependencies and artifacts only from trusted repositories.
• Protect CI/CD pipelines with appropriate access controls and separation of duties.
• Require code and configuration changes to undergo appropriate review.
• Verify the integrity and authenticity of sensitive data received across trust boundaries.
• Avoid unsafe deserialization of untrusted data.
• Protect build artifacts against unauthorized modification between development and deployment.

A09:2025 – Security Logging and Alerting Failures

Risk: Security logging and alerting failures occur when an organization cannot adequately record, detect, investigate, or respond to suspicious activity. Important authentication failures, authorization violations, application errors, and high-value transactions may not be logged, or logs may exist without effective monitoring and alerting. As a result, an attacker may remain inside an application for an extended period without being detected.

Example: An attacker repeatedly attempts to sign in to thousands of customer accounts using stolen credentials. Although the application records successful logins, it does not record failed attempts or generate alerts for unusual authentication activity. The attack therefore continues without notifying the security team.

Mitigation strategies:

• Log important security events, including successful and failed authentication and authorization attempts.
• Include enough context in logs to support investigation without unnecessarily recording sensitive information.
• Protect logs against unauthorized modification or deletion.
• Centralize and retain logs for an appropriate period.
• Create alerts for suspicious patterns and high-risk security events.
• Establish escalation procedures and incident-response playbooks for important alerts.
• Test logging and alerting controls to ensure simulated attacks actually generate notifications.
• Tune detection rules to reduce excessive false positives that could cause important alerts to be overlooked.

A10:2025 – Mishandling of Exceptional Conditions

Risk: Mishandling of exceptional conditions occurs when software does not securely prevent, detect, or respond to unusual situations such as missing parameters, unexpected values, resource failures, permission errors, network problems, or incomplete transactions. Poor error handling can cause an application to crash, expose sensitive information, enter an unpredictable state, or fail open, meaning that a security restriction is bypassed when an error occurs.

Example: A payment application performs several steps when transferring money between accounts. An unexpected database error occurs after one part of the transaction has been completed. If the application does not properly detect the failure and roll back the entire transaction, the accounts may be left in an inconsistent state that could potentially be abused to duplicate or incorrectly process a transaction.

Mitigation strategies:

• Identify and handle exceptional conditions as close as possible to where they occur.
• Validate inputs and required parameters before processing them.
• Design security-sensitive operations to fail closed rather than granting access when an error occurs.
• Use transaction mechanisms that roll back incomplete operations.
• Return generic, user-appropriate error messages without exposing stack traces or internal details.
• Log unexpected errors with sufficient information for investigation.
• Define expected failure states during application design and threat modeling.
• Test abnormal situations such as unavailable services, missing data, insufficient privileges, resource exhaustion, and unexpected responses.
• Ensure cleanup and recovery procedures leave the application in a known, secure state after an exception.

Application Security Testing Methods

SAST

Static application security testing (SAST) analyzes an application’s source code, bytecode, or binaries without executing the application. It looks for insecure coding patterns such as injection flaws, unsafe data handling, weak cryptographic practices, and other implementation-level vulnerabilities. SAST can be integrated into IDEs and CI/CD pipelines so developers receive feedback early in the software development lifecycle.

SAST provides broad code coverage and can identify the location of a vulnerability in the code. However, it can produce false positives and may not detect vulnerabilities that depend on runtime behavior, configuration, or complex interactions between application components. Teams typically combine SAST with dynamic testing and manual review.

DAST

Dynamic application security testing (DAST) examines a running application from the outside by sending requests and analyzing its responses. It can identify vulnerabilities such as injection, authentication weaknesses, insecure server configuration, and information disclosure without requiring access to the application’s source code.

Because DAST tests an executing application, it can detect issues that appear only at runtime. However, it usually provides less information about the exact location of vulnerable code and can test only application functionality that its scanner can reach. DAST is commonly performed against test or staging environments and may also be used carefully against production systems.

IAST

Interactive application security testing (IAST) analyzes application behavior while the application is running and being exercised by automated tests, manual tests, or users. An IAST agent or sensor observes operations inside the application, including data flows, database queries, file access, and calls to external services.

IAST combines runtime information with visibility into application code, allowing it to identify vulnerable behavior and often trace the issue to a specific code location. Its effectiveness depends on test coverage because code paths that are not executed may not be analyzed. IAST also requires integration with the application’s runtime environment.

SCA

Software composition analysis (SCA) identifies third-party and open-source components used by an application and evaluates the risks associated with them. SCA tools typically compare dependencies against vulnerability databases to detect components with known security vulnerabilities. They can also identify outdated packages and provide information about software licenses.

SCA is particularly important because applications may contain hundreds of direct and transitive dependencies. Modern tools can generate or consume a software bill of materials (SBOM) and monitor components as new vulnerabilities are disclosed. SCA does not replace application security testing because it focuses primarily on component risk rather than vulnerabilities in custom application code.

Penetration Testing

Penetration testing is a manual or semi-automated assessment in which security professionals attempt to identify and exploit vulnerabilities under an agreed scope and rules of engagement. Testers combine tools with human analysis to investigate authentication, authorization, business logic, application configuration, and other areas that automated scanners may not evaluate effectively.

Unlike automated scanning, penetration testing can determine whether several weaknesses can be combined into a practical attack path and assess their real-world impact. However, it provides a point-in-time assessment and cannot continuously evaluate every application change. Organizations typically perform penetration tests periodically and after significant architectural or functionality changes.

API Security Testing

API security testing evaluates application programming interfaces for vulnerabilities in their endpoints, authentication mechanisms, authorization rules, input handling, and data exposure. Testing commonly covers REST, GraphQL, and other API architectures and examines whether users can access objects or operations outside their intended permissions.

Effective API testing checks both expected and unexpected requests, including modified identifiers, malformed input, excessive request rates, and attempts to bypass authorization controls. Automated API scanners can provide broad coverage, while manual testing is often needed for business-logic and access-control weaknesses. Maintaining an accurate API inventory and testing against the API specification can also help identify undocumented or improperly exposed endpoints.

Key Types of Application Security Solutions

Web Application Firewalls (WAFs)

Web application firewalls (WAFs) inspect HTTP and HTTPS traffic between clients and web applications. They use rules, signatures, behavioral analysis, and other techniques to detect and block malicious requests. WAFs commonly protect against attacks such as:

• SQL injection
• Cross-site scripting
• Malicious file requests
• Exploitation attempts targeting known vulnerabilities

A WAF can be deployed as a cloud service, reverse proxy, appliance, or component of a broader security platform. It provides runtime protection without requiring changes to application code, but it does not eliminate underlying vulnerabilities. Rules must also be maintained and tuned to reduce false positives while adapting to changes in applications and attack techniques.

Web Application and API Protection (WAAP)

Web application and API protection (WAAP) combines several runtime security capabilities into a unified platform for protecting web applications and APIs. A typical WAAP solution includes:

• WAF functionality
• API security
• Bot management
• Distributed denial-of-service (DDoS) protection

WAAP platforms inspect incoming traffic and apply security policies across different application endpoints. They can discover APIs, identify abnormal requests, enforce access controls, and block automated or application-layer attacks. This approach is useful for organizations operating distributed applications across cloud, on-premises, and hybrid environments.

Bot Management Solutions

Bot management solutions identify and control automated traffic reaching applications and APIs. They distinguish legitimate automation, such as search engine crawlers, from malicious or unwanted bots performing:

• Credential stuffing
• Account creation
• Content scraping
• Inventory hoarding
• Automated abuse

These solutions can analyze request patterns, browser and device characteristics, behavioral signals, and traffic history to classify clients. Depending on the assessed risk, they may allow, block, rate-limit, or challenge a request. Effective bot management must account for attackers that continually modify automation techniques to imitate legitimate users.

Related content: Read our guide to bot detection in the AI age.

Application Security Posture Management (ASPM)

Application security posture management (ASPM) provides centralized visibility into application security risks across the software development lifecycle. ASPM platforms collect and correlate findings from sources such as:

• SAST
• DAST
• SCA
• Cloud security tools
• Code repositories
• Vulnerability management systems

By combining findings with application context, ASPM helps teams prioritize vulnerabilities based on factors such as severity, exploitability, application exposure, and business importance. It can also identify duplicate findings, track remediation, enforce security policies, and measure security posture over time. ASPM complements security testing tools by helping organizations manage and prioritize the large volume of security data those tools generate.

Application Security Best Practices

Here are some of the ways that organizations can improve their application security.

1. Build Security into the Software Development Lifecycle

Integrate security requirements into planning, design, development, testing, deployment, and maintenance rather than treating security as a final release check. Perform threat modeling during design, establish secure coding standards, and include security-focused code reviews for sensitive functionality.

Automate controls such as SAST, SCA, secret scanning, and infrastructure configuration checks within CI/CD pipelines. Define severity-based remediation requirements so critical findings can block releases when necessary. Providing developers with clear remediation guidance also helps resolve vulnerabilities closer to the point where they are introduced.

Key actions:

• Define security requirements during planning and design.
• Perform threat modeling for sensitive workflows.
• Integrate SAST, SCA, and secret scanning into CI/CD.
• Block releases that contain unresolved critical findings.
• Give developers clear remediation guidance.

2. Adopt a Zero Trust Architecture

Zero trust assumes that users, devices, applications, and services should not be trusted solely because of their location or previous access. Every request should be authenticated, authorized, and evaluated using relevant context before access is granted.

Apply least-privilege permissions, segment sensitive systems, and use short-lived credentials where practical. Service-to-service communication should also use strong identities and encrypted connections. Continuous monitoring can identify changes in risk and trigger additional verification or restrict access when suspicious behavior occurs.

Key actions:

• Authenticate and authorize every access request.
• Apply least privilege to users, services, and workloads.
• Use short-lived credentials where practical.
• Segment sensitive applications and backend systems.
• Continuously monitor for changes in access risk.

3. Enforce Strong Authentication and Authorization

Use strong authentication controls to reduce account takeover risk. Multi-factor authentication should protect privileged and sensitive accounts, while password controls should prevent weak or compromised credentials. Sessions and authentication tokens should have appropriate expiration, rotation, and revocation mechanisms.

Authorization must be enforced server-side for every protected operation and resource. Use deny-by-default policies and grant only the permissions required for a user’s or service’s role. Test for horizontal and vertical privilege escalation to verify that users cannot access other users’ resources or administrative functionality.

Key actions:

• Require MFA for privileged and sensitive accounts.
• Block weak and known-compromised passwords.
• Enforce server-side authorization on every protected request.
• Use deny-by-default access policies.
• Test for horizontal and vertical privilege escalation.

4. Keep Components and Dependencies Updated

Maintain an inventory of application frameworks, libraries, packages, runtimes, and other third-party components, including transitive dependencies. Use SCA and vulnerability intelligence to identify components affected by known vulnerabilities or reaching end of support.

Prioritize updates based on exploitability, exposure, severity, and application importance rather than relying only on vulnerability scores. Pin or otherwise control dependency versions where appropriate, obtain packages from trusted repositories, and test updates before deployment. Remove unused dependencies to reduce the application’s attack surface.

Key actions:

• Maintain an inventory of direct and transitive dependencies.
• Continuously scan components for known vulnerabilities.
• Prioritize fixes by exploitability and exposure.
• Use trusted repositories and controlled dependency versions.
• Remove unused and unsupported components.

5. Continuously Test Applications for Vulnerabilities

Use multiple testing methods because no single technique identifies every type of application vulnerability. Combine SAST, DAST, IAST, SCA, API security testing, penetration testing, and targeted manual reviews according to the application’s architecture and risk profile.

Automate suitable tests within CI/CD pipelines and perform additional testing after significant application or infrastructure changes. Track findings through remediation and retest fixes to confirm that vulnerabilities are resolved. Production monitoring and periodic assessments can identify risks that development-stage testing does not detect.

Key actions:

• Combine SAST, DAST, IAST, SCA, and API testing.
• Automate appropriate security tests in CI/CD pipelines.
• Perform penetration testing for high-risk applications.
• Retest vulnerabilities after remediation.
• Repeat testing after major code or infrastructure changes.

Securing Applications and APIs with Cequence

Cequence brings agentic AI governance, API security, bot defense, and web application protection together in a single platform built on a deep understanding of human, bot, and agentic behavior. As agentic traffic grows toward eclipsing human traffic, with agents reaching applications and APIs to transact on users’ behalf, Cequence welcomes legitimate traffic while shutting out abuse, judging every interaction on the intent revealed by its behavior rather than on static signatures or client-side challenges.

Key capabilities of the Cequence platform:

• Behavioral intent analysis: Every interaction carries intent. Cequence reads that intent from patterns across billions of interactions, so real users and good agents transact smoothly while fraud, abuse, and account takeover are blocked, catching what signatures miss.
• Network-based detection: Detection runs independently of the client, so there is nothing for an attacker to spoof, solve, or skip.
• Protection beyond CAPTCHA: Puzzles that a modern agent already solves only punish real users. Cequence tells humans and automation apart by behavior instead, with no challenges to legitimate visitors.
• API security: Discover, inventory, test, and protect every API, including the unknown and shadow endpoints other tools miss, the core layer your applications and agents are built on.
• Bot management: Distinguish real users and good agents from the automated abuse targeting your applications and APIs, evaluated server-side on behavior, with no puzzles.
• WAAP: Unified API security, bot management, WAF, and DDoS protection in one place. Cequence sits separately from your delivery network, so there is no need to replace your CDN and protection stays consistent across traffic routes.

Most of the automation aimed at your applications and APIs runs unseen until something breaks. See what’s targeting your apps and APIs with Cequence Application & API Protection.