Top 10 Qualys Alternatives
APIs have become fundamental to digital business, with over 90% of application traffic now flowing through APIs. More than 54% of enterprises say APIs directly influence revenue, and in high growth organizations, API driven services account for over 70% of new product and feature delivery. As cloud native architectures, microservices, and continuous deployment pipelines accelerate software release cycles, security must now keep up with both speed and scale. It is no longer enough to secure applications periodically. Security must be continuous, automated, and integrated into every stage of the engineering lifecycle.
However, this shift brings a significant increase in operational and cybersecurity risk. Research shows that over 63% of breaches now originate from vulnerabilities at the application or API layer. Undocumented interfaces, unmonitored endpoints, and delayed visibility can lead to compliance failures, production outages, and costly emergency remediation. With APIs increasingly carrying financial data, authentication tokens, personal information, and regulated industry data, boards and regulators are holding organizations accountable for provable security assurance and continuous monitoring.
This is where Qualys begins to fall short for many modern teams. Built around point in time DAST scanning, Qualys focuses on generating reports rather than improving security posture continuously. Vulnerabilities remain unprotected between scans, which often run weekly or monthly. More than 40% of remediation time is spent chasing issues that could have been prevented pre production. On premises scan engines create operational overhead, deployment cycles can take weeks, and full payload ingestion introduces additional privacy and audit challenges, especially in BFSI and healthcare environments. The result is high cost, limited API visibility, and slower response to real world risks.
Organizations that treat application and API security as a driver of uptime, revenue, and customer trust need an approach that delivers real time protection, full lifecycle coverage, automated remediation, minimal manual effort, Qualys deployment, and privacy first data handling.
This guide presents the Top 10 Qualys Alternatives, evaluated by SDLC coverage, visibility depth, scalability, cost efficiency, deployment speed, and alignment with API first and DevSecOps focused delivery models.
When evaluating Qualys’s approach to application and API security, several recurring limitations begin to impact security maturity, deployment speed, cost efficiency, and overall alignment with modern DevSecOps practices. These challenges often signal the need to consider alternatives that offer continuous protection, deeper coverage, lower manual effort, and fewer privacy or deployment constraints.
The table below highlights key triggers and explains why they matter, from unprotected gaps between scans to rising infrastructure costs and limited discovery visibility, helping teams identify where Qualys may fall short in real world API driven environments.
Qualys
has long been known for its DAST capabilities and compliance driven reporting, but its approach still centers on point in time scanning rather than continuous application and API security. For teams operating in fast moving CI/CD environments, this model can leave vulnerabilities undiscovered until after deployment, driving higher remediation effort, production risk, and operational overhead. As security becomes inseparable from delivery velocity, enterprises are now leaning toward platforms that offer continuous protection, automated testing, deeper API visibility, and lower total cost of ownership.
Below are the Top Qualys Alternatives that provide stronger lifecycle coverage, privacy preserving architectures, and DevSecOps alignment without requiring heavy manual configuration, on premises scan engines, or constant rescan cycles.
These platforms support automated discovery, real time vulnerability detection, and integrated remediation, allowing organizations to secure APIs and applications without slowing releases.
Here’s a side by side comparison of Qualys vs leading alternatives across key dimensions including business value, deployment agility, privacy risk, TCO, API visibility, and SDLC coverage, helping teams quickly identify which solutions offer the best fit for modern API first and security driven engineering models.
For modern API driven ecosystems, teams are evaluating platforms that offer deeper API visibility, faster security validation, and broader protection coverage than Qualys.
Here are the top Qualys alternatives that unify API discovery, automated testing, and runtime defense for cloud native and rapidly scaling environments.
Levo.ai is built for API first enterprises that need continuous, end to end API security, not web app scanners adapted for APIs. While Qualys extends its VM and web scanning framework to APIs, the coverage remains shallow. API testing is retrofitted rather than purpose built, which leaves complex logic, multi step flows, and custom business patterns untested.
Levo delivers deep, OS kernel level visibility through an eBPF sensor that discovers every API, including internal, low traffic, partner, shadow, and third party endpoints. It automatically generates complete API catalogs, documentation with more than twelve parameters, and trace linked sensitive data flows. Qualys relies on VMDR inventory, EASM crawlers, user uploaded OAS files, and periodic scans, leaving more than half of enterprise APIs undiscovered.
Where Qualys runs scheduled scans and static payload tests, Levo continuously validates APIs using real traffic context, authentication behavior, and sensitive data paths. Each finding is verified before alerting, reducing false positives and cutting remediation from months to days. Qualys outputs generic reports with no reproducible payloads, no service mapping, and no automated fix support, slowing down engineering teams.
Levo’s privacy first design ensures sensitive data never leaves the customer environment and processes under one percent metadata, eliminating vendor induced exposure. Qualys aggregates vulnerability, asset, and API data in shared cloud environments, increasing privacy and multi tenancy risk if misconfigured. Levo also lowers infrastructure and egress spending by nearly ten times, saving one hundred thousand to five hundred thousand dollars annually.
Deployment is fast with Levo, completing in under an hour because no inline agents, DPIAs, or heavy infrastructure are required. Qualys often takes months, requiring configuration across multiple modules, scanners, connectors, and scan profiles. Levo removes manual overhead entirely through YAML and Python based customization and fully automated testing and monitoring.
Most importantly, Levo secures the entire SDLC from developer environments to production, preventing misconfigurations and sensitive data leaks before release. Qualys focuses primarily on post deployment scanning with limited shift left visibility, leaving earlier environments exposed and driving reactive firefighting.
Where Qualys tests APIs like websites, Levo secures APIs as core business assets, enabling faster releases, stronger security posture, lower costs, and higher operational resilience.
Selecting the right API security platform depends on whether your priorities center on proactive prevention, runtime visibility, compliance assurance, or operational efficiency.
Each platform serves a distinct maturity level and team focus, and understanding where they excel or fall short helps align tools with enterprise security and growth goals.
Akamai delivers edge first API protection with integrated WAF, DDoS mitigation, and CDN based API traffic visibility. It provides runtime detection for misconfigurations, common attack patterns, and anomaly based alerts, along with SOC friendly dashboards and global traffic insights. However, detection is largely production focused, pre production or shift left coverage is minimal, and remediation guidance is generic. Deployment requires network mirroring, inline agents, or multi cloud configuration, adding operational complexity and rollout delays.
Qualys offers API vulnerability assessment and compliance testing through scheduled scans, automated spec validation, and integration with VMDR and EASM modules. It provides standard OWASP Top 10 coverage and generates audit ready reports but lacks real time monitoring, runtime discovery, and behavioral attack simulation. Internal, low traffic, or partner APIs often go untested, and remediation relies on manual triage of generic findings. Deployment involves configuring multiple modules and connectors, making time to value long and infrastructure heavy, with potential privacy risks from multi tenant data consolidation.
Both platforms strengthen API security but in complementary ways: Akamai excels at runtime traffic monitoring, global visibility, and attack mitigation at the edge, while Qualys focuses on structured, compliance oriented vulnerability scanning. Neither delivers end to end shift left coverage, automated remediation, or full internal API visibility, leaving gaps across pre production, low traffic, and complex business critical endpoints.
Pros:
Cons:
Pros:
Cons:
Read More: Top 10 Akamai Security Alternatives
Salt Security delivers runtime first API protection built around full traffic ingestion, anomaly detection, and SOC centric analytics. Its architecture relies on capturing 100 percent of API payloads including sensitive data to map API behavior, detect attacks, and surface sensitive data flows. This provides strong visibility into active production endpoints but also creates significant compute, storage, and privacy challenges, especially at enterprise scale. Discovery remains traffic dependent, meaning low traffic, internal, third party, partner, and inactive APIs frequently go undetected, leaving blind spots across multi environment architectures.
Compared to Qualys, which offers periodic, scan centric API assessments stitched across VMDR, EASM, and TotalAppSec modules, Salt provides deeper runtime context but almost no shift left coverage. Testing is limited, single request, and policy driven, missing multi step flows, business logic abuse, and complex authorization pathways. Remediation guidance is generic with no automated payload reproduction, developer mapping, or code level fixes, which slows triage despite high alert volumes.
Deployment is high friction due to inline agents or traffic mirroring, plus the need for DPIAs and data handling approvals since all API payloads including PII are processed in Salt’s SaaS. This mirrors Qualys operational overhead but with far higher vendor induced privacy risk, given Qualys relies mostly on metadata scans while Salt ingests raw production traffic.
Both platforms center on reactive, production only protection, but diverge in strengths. Salt excels in behavioral analytics and attack detection for active APIs, while Qualys focuses on broad, compliance oriented vulnerability scanning across web apps and assets. Neither offers comprehensive API discovery, context aware testing, or end to end SDLC coverage, resulting in gaps across internal APIs, low traffic services, business critical flows, and pre production environments.
Pros:
Cons:
Pros:
Cons:
Qualys is better suited for enterprises already standardized on its broader VM/EASM stack and looking for light API scanning to satisfy compliance checkboxes, not full lifecycle API protection.
Salt Security is preferred by teams focused on production level threat detection and incident response, but the lack of shift left coverage and high cost can limit long term value.
Levo.ai remains the stronger choice for organizations seeking continuous API security across the SDLC, offering automated discovery, privacy first deployments, deep attack simulation, and proactive protection without runaway storage, deployment, or operational overhead.
Read More: Top 10 Salt Security Alternatives
Traceable.ai delivers runtime first API protection, focusing on detecting attacks, anomalies, and misconfigurations in production while providing SOC friendly dashboards and forensic analytics. It captures full API traffic for observability and incident response, but coverage is limited to active, externally facing APIs, leaving low traffic, partner, and internal endpoints often undiscovered. Testing is reactive and pattern based, lacking deep behavioral simulation, role based attack chaining, or automated remediation, which creates gaps in business logic coverage. Deployment requires inline agents, network mirroring, or in app instrumentation, resulting in complex rollouts, lengthy approvals, and high operational overhead.
Qualys provides scheduled API scanning and vulnerability assessments as part of its broader web app and asset security modules. It relies on static OpenAPI imports, crawler based scans, and periodic assessments rather than real time monitoring, leaving APIs exposed between scans and failing to detect multi step or session based attacks. Coverage is incomplete, often missing internal, low traffic, partner, and third party APIs, and its reports require significant manual triage to assign vulnerabilities, delaying remediation. Deployment involves configuring multiple modules and connectors, which is resource intensive and time consuming, with unpredictable total cost of ownership and moderate vendor privacy risks due to consolidated cloud processing.
Both platforms strengthen API security in complementary ways: Traceable.ai excels in runtime detection, SOC integration, and live traffic forensics, while Qualys provides structured vulnerability scanning and compliance reporting across API inventories. Neither alone delivers full shift left security, end to end pre production testing, or automated, context aware remediation, leaving gaps across internal, low traffic, and complex business critical APIs.
Pros:
Cons:
Pros:
Cons:
Qualys is best for enterprises with mature compliance programs looking to expand existing vulnerability management into basic API coverage, but it falls short on visibility, continuous monitoring, and real API native testing.
Traceable.ai is ideal for organizations that prioritize deep runtime defense, real time blocking, and SOC level threat investigation, though high cost, deployment friction, and limited shift left coverage mean issues often surface only after reaching production.
Levo.ai remains the strongest choice for organizations seeking end to end API security across the SDLC, with automated discovery, zero privacy risk, dramatically lower total cost of ownership, and deep testing and monitoring from development to production.
Read More: Top 10 Traceable Alternatives
Orca Security provides agentless cloud workload protection with comprehensive asset discovery, vulnerability management, and misconfiguration detection across cloud environments. It continuously inventories hosts, containers, and serverless workloads while mapping sensitive data and privilege exposure, enabling high fidelity risk prioritization without requiring inline agents. Deployment is straightforward and SaaS-based, avoiding intrusive inline monitoring, though complex multi-cloud environments may need additional configuration.
Qualys delivers scheduled vulnerability scanning and asset inventory with modular coverage across web applications, APIs, and cloud workloads. It supports on-prem and hybrid deployments but relies on periodic scans rather than continuous monitoring, leaving gaps in runtime threat detection. Discovery is limited to known endpoints and imported specifications, often missing internal, low traffic, or ephemeral APIs.
Both platforms enhance cloud and API security, but in complementary ways: Orca excels in continuous, agentless visibility and contextual risk mapping across the cloud, while Qualys emphasizes compliance driven, modular scanning with broad coverage across traditional IT and cloud assets. Neither alone provides real time API runtime protection or automated, behavior driven remediation, leaving residual gaps in live attack detection and proactive shift left security.
Pros:
Cons:
Pros:
Cons:
Qualys is a better fit for enterprises seeking a broad vulnerability management platform that integrates across network, host, and application layers, though API security remains retrofitted, scan heavy, and slow to remediate.
Orca Security suits cloud focused teams that want quick agentless visibility into their cloud environments but provides minimal API context, no shift left value, and limited runtime depth.
Levo.ai remains the strongest option for organizations needing true end to end API security, continuous discovery, deep testing, real time monitoring, privacy first architecture, low total cost of ownership, and SDLC wide coverage without operational overhead.
Escape Security delivers production first API visibility and monitoring, capturing runtime traffic to detect misconfigurations, sensitive data exposure, and anomalies in real time. It offers comprehensive API catalogues, traces sensitive data flows, and integrates with existing workflows for actionable insight. Deployment is SaaS first, which accelerates rollout but increases vendor privacy exposure, as full traffic is processed externally. Security testing and remediation remain limited, relying on static schemas and manual processes. Internal, low traffic, and partner APIs often remain untested, leaving gaps across pre production and complex business critical endpoints.
Qualys provides scheduled API scans and vulnerability management within a broader web and cloud security suite. Its approach focuses on compliance and periodic assessment rather than continuous monitoring. While it covers standard OWASP Top 10 risks and integrates with multiple modules, API visibility is incomplete, internal endpoints are often missed, and remediation guidance is generic. Deployment is heavy, requiring multiple connectors and infrastructure setup, and total cost of ownership is unpredictable due to per module licensing.
Both platforms strengthen API security in complementary ways: Escape Security excels in runtime detection, monitoring, and sensitive data tracing, whereas Qualys provides structured, compliance focused vulnerability management. Neither alone delivers full shift left coverage, automated remediation, or complete discovery of low traffic, internal, or shadow APIs, leaving gaps across the API lifecycle.
Pros:
Cons:
Pros:
Cons:
Qualys is better suited for large enterprises needing broad security coverage across multiple product lines, though its API protection remains periodic, retrofit, and high overhead.
Escape Security works for smaller teams needing quick code level schema scanning, but the lack of runtime visibility, deep testing, and automated remediation limits its impact on real API security posture.
Levo.ai remains the stronger choice for comprehensive, developer friendly API security that unifies discovery, documentation, testing, monitoring, and remediation across the entire SDLC while eliminating vendor privacy risk and reducing total cost of ownership.
Inviciti delivers API first security with an end to end approach across the SDLC, combining real time monitoring, automated discovery, and context aware testing to secure APIs from development to production. It offers kernel level visibility and traffic instrumentation to detect access control misconfigurations, sensitive data exposure, and other vulnerabilities before they reach production. Inviciti’s intelligent inventory identifies internal, external, partner, and low traffic APIs, enriched with metadata such as auth schemes, rate limits, error patterns, and sensitive data tags. Pre built, customizable payloads and attack simulations are grounded in runtime behavior and sensitive data flows, enabling automated, reproducible remediation and minimal false positives. Deployment is streamlined across SaaS, hybrid, and on-prem environments with low vendor privacy risk, reducing manual effort and accelerating time to value.
Qualys provides periodic API scanning and vulnerability assessments as part of its broader security suite, relying on scheduled scans, imported OpenAPI specs, and dashboard metrics for coverage. While it supports compliance reporting and OWASP Top 10 checks, discovery and testing are limited to endpoints included in asset inventories or manually uploaded specifications, leaving internal, partner, low traffic, and dynamic APIs untested. Real time monitoring, behavioral testing, and pre production validation are absent, resulting in delayed detection of new exploits, higher breach risk, and ongoing manual triage. Deployment involves configuring multiple Qualys modules and integrating with gateways, driving high operational overhead and unpredictable total cost of ownership. Vendor induced privacy risk is elevated because sensitive data from multiple modules is consolidated in the cloud, requiring strict controls to avoid exposure.
Both platforms strengthen API security, but in complementary ways: Inviciti excels in end to end, shift left protection, covering development, staging, and production with fully automated discovery, contextual testing, and remediation. Qualys focuses on periodic scanning and compliance reporting, offering a broad but reactive security posture that leaves blind spots in internal and dynamic APIs. Organizations seeking continuous, automated API protection with low manual overhead and actionable remediation benefit from Inviciti, while Qualys provides coverage for regulatory driven, snapshot based security validation within broader enterprise programs.
Pros:
Cons:
Pros:
Cons:
Qualys appeals to organizations already invested in the Qualys ecosystem seeking a consolidated vulnerability dashboard, but API security remains limited and highly manual.
Inviciti is better suited for enterprises that want traditional web application style scanning extended to APIs and can manage heavier configuration and manual workflows.
Levo.ai provides a stronger value proposition by delivering automated discovery, continuous security across the SDLC, privacy first deployment, business logic attack simulation, and near zero manual overhead, resulting in faster remediation, lower cost, and significantly higher API coverage and security confidence.
Akto delivers API first security with automated discovery, continuous runtime monitoring, and pre production testing, ensuring coverage across internal, external, low traffic, and third party endpoints. It generates behaviorally aware API inventories, enriched OpenAPI specs, and sensitive data flows while providing context aware, reproducible remediation guidance. Deployment is straightforward with SaaS or on-prem options, and customization is available through YAML and Python rules. Akto excels in shift left security, deep attack simulation, and minimizing manual overhead, allowing teams to test and secure APIs across the entire SDLC efficiently. Costs are predictable, and privacy risk is low as sensitive data is scrubbed or processed minimally.
Qualys provides API security primarily through scheduled scans and dashboard metrics, focusing on compliance checks and OWASP Top 10 vulnerabilities. Discovery and testing are mostly static, leaving low traffic, partner, and internal APIs untested. Runtime monitoring and anomaly detection are absent, meaning new attack patterns and business logic flaws can go unnoticed. Deployment requires extensive integration across multiple modules, increasing operational overhead and rollout time. Remediation is generic, manual, and slow, while pre production or shift left coverage is limited. Costs are variable due to licensing across modules, and vendor induced privacy risk is elevated because consolidated scan data and API specs are processed in the cloud.
Both platforms strengthen API security but in distinct ways: Akto emphasizes automated, end to end coverage with proactive pre production testing, runtime monitoring, and actionable remediation, while Qualys focuses on compliance driven, periodic scanning with limited runtime visibility. Organizations seeking comprehensive shift left protection, internal API coverage, and minimal manual overhead benefit from Akto, whereas Qualys is suitable for compliance focused scanning in environments already using their broader security suite.
Pros:
Cons:
Pros:
Cons:
Qualys is better suited for large enterprises already invested in the Qualys ecosystem that primarily need compliance reporting and standard vulnerability scanning, but API coverage and testing depth remain limited due to its retrofitted approach.
Akto is more agile and developer-friendly, delivering faster scanning but still falls short on accuracy, automated remediation, runtime coverage, and depth of security testing for real-world API exploits.
Levo.ai remains the only platform in this comparison that delivers true API first security with comprehensive visibility, shift left through runtime coverage, privacy first design, deep automated testing, minimal manual overhead, and SDLC wide protection that enables faster release cycles without increasing breach risk.
Rapid7 delivers reactive API security through scheduled dynamic scans and vulnerability assessments. It focuses on detecting common OWASP Top 10 issues and basic access control flaws after builds are complete, primarily supporting compliance reporting. Testing is retrofit into a generic web application scanner, offering limited authentication automation, static payloads, and minimal business logic coverage. APIs remain unprotected between scans, leaving critical endpoints exposed and creating false confidence. Full payload capture and scan heavy architecture increase operational overhead, driving up infrastructure costs and extending remediation cycles. Deployment requires on prem scan engines, complex auth setup, and repeated manual configuration, delaying adoption and slowing feature delivery. Remediation is largely manual, with static reports requiring security and development teams to interpret findings and assign fixes. Discovery relies on crawler based scans and user supplied specs, leaving internal, low traffic, and partner APIs often untested. Shift left security is minimal, pre production visibility is limited, and runtime anomaly detection is absent.
Qualys provides scheduled API and web application scans, emphasizing compliance and asset wide vulnerability management. It captures OAS or Swagger specifications, checks standard security flaws, and consolidates findings across modules, but lacks real time monitoring, traffic-based detection, and context aware payload testing. Dynamic or ephemeral endpoints are frequently missed, leaving significant blind spots for internal, partner, and third party APIs. Deployment requires integrating multiple modules with API gateways and infrastructure, and ongoing maintenance drives unpredictable total cost of ownership. Remediation is guided by generic reports and ticketing integration, but automated payload reproduction and developer mapping are absent. Pre production testing is limited, and security coverage between scans depends entirely on periodic schedules, creating gaps in both DevOps pipelines and production environments.
Both platforms strengthen API security in complementary ways. Rapid7 provides point in time, post build vulnerability scanning for compliance and known attack detection but leaves APIs exposed between scans, lacks runtime monitoring, and demands high operational effort. Qualys focuses on broad coverage and compliance driven reporting across web and API assets but similarly misses dynamic endpoints, low traffic APIs, and continuous runtime threats. Neither delivers full shift left protection, automated remediation, or continuous runtime threat prevention, leaving gaps across internal, partner, and production critical APIs.
Pros:
Cons:
Pros:
Cons:
Qualys is better suited for enterprises prioritizing unified compliance reporting and broad vulnerability management across infrastructure, but its API security capabilities remain bolt on and web app centric.
Rapid7 is a fit for organizations seeking traditional DAST based compliance scanning but lacks continuous runtime defense or deep API logic testing.
Levo.ai stands out by delivering continuous, zero egress, behavior aware API security across the full SDLC with 100% API discovery, deep context driven testing, near zero manual effort, and dramatically lower cost of ownership compared to scan driven legacy tools.
StackHawk delivers API first security testing, focusing on pre production and CI/CD integration to detect vulnerabilities, misconfigurations, and business logic flaws before code reaches production. It provides automated, customizable test plans, deep authentication handling, and context aware payloads, reducing false positives and enabling precise remediation. StackHawk integrates directly into developer pipelines, offering YAML and Python based rules, automatic OpenAPI spec generation, and per endpoint testing without requiring full application deployment. Deployment is fast, low friction, and suitable for on-prem, SaaS, or hybrid environments. However, runtime monitoring is minimal, so APIs in production remain unprotected against zero day attacks or traffic anomalies. Sensitive third party APIs or low traffic internal endpoints are only partially covered.
Qualys provides scheduled API adapted vulnerability scans and dashboard reporting, supporting compliance checks across web and API layers. It captures OAS or Swagger specifications, identifies standard OWASP Top 10 flaws, and integrates with broader asset and vulnerability management modules. Testing is largely retrofitted for APIs, with limited context or automation, leaving business logic vulnerabilities and internal APIs under tested. Real time monitoring, runtime discovery, and shift left testing are absent, and deployment is complex, requiring multiple modules and connectors to API gateways. Licensing costs and integration overhead are high, and sensitive data exposure risk exists because multiple modules consolidate findings in shared services.
Both platforms strengthen API security in complementary ways. StackHawk excels in pre production, automated, and developer friendly API testing, reducing false positives and accelerating remediation. Qualys focuses on compliance driven scanning and asset wide vulnerability management across web applications and APIs. Neither platform alone provides continuous runtime protection or comprehensive traffic based anomaly detection, leaving production APIs partially exposed to emerging threats.
Pros:
Cons:
Pros:
Cons:
Qualys best fits enterprises already standardized on its platform and looking for compliance driven, traditional vulnerability scanning across their broader environment, though its API security capabilities are limited, reactive, and incomplete for modern microservice architectures.
StackHawk is well suited for DevOps teams needing quick plug in API scans during CI/CD, but its lack of deep discovery, runtime context, advanced attack simulation, and automated remediation limits effectiveness in real world API threats.
Levo.ai remains the stronger choice for organizations seeking end to end API security with continuous discovery, deep behavioral testing, minimal manual overhead, faster time to remediate, and full SDLC coverage from early development through production.
APIs now power the backbone of digital systems, but traditional vulnerability scanners like Qualys leave critical blind spots. Limited API inventory accuracy, slow scan based workflows, and fragmented modules create gaps across modern microservices and cloud native architectures.
Levo.ai solves this by unifying API discovery, shift left testing, runtime protection, sensitive data detection, and automated remediation in one platform. Teams eliminate manual configuration, cut false positives, and secure APIs continuously from design to production.
For organizations that need complete API security rather than repurposed web scanning, Levo delivers full spectrum coverage that adapts to modern engineering velocity.
Choosing the right API security platform is about depth, automation, and lifecycle visibility. Unlike Qualys, which depends on periodic scans and module stitching, Levo provides real time context, exploit aware detection, and frictionless integration into CI CD pipelines.
Adopting Levo enables teams to streamline operations, boost developer productivity, and secure every API endpoint without the overhead of legacy tooling. Achieve true end to end API protection with Levo and future proof your API ecosystem.
Achieve complete API security with Levo and future proof your APIs.
Book your DEMO today to implement API security seamlessly.