UpGuard manages cyber risk everywhere it lives: your vendors, your internet-facing attack surface, and your workforce. You get one platform that connects all three risk areas instead of separate tools and spreadsheets stitched together. A risk in one surfaces in the others automatically. A breached vendor flags your own exposure. A leaked employee credential links straight to the account and the vendor involved. AI handles the repetitive work of triaging alerts, reviewing vendor evidence, and completing questionnaires. That means lean security teams can run programs that would otherwise need much bigger teams. UpGuard fits mid-market teams, deploys quickly, and slots in without replacing what you already have.
Living Security is an AI-native human risk management (HRM) platform that continuously measures, prioritizes, and reduces cybersecurity risk across an organization's workforce, including employees, contractors, and AI agents. Its Intelligence Engine correlates 300+ behavioral, identity, and threat signals from an organization's existing security stack, and its Human Risk Index (HRI) sorts individuals and groups into five distinct risk levels. Teams use these insights to focus on the small share of users driving most of the exposure and to trigger targeted action plans such as training, nudges, and automated controls. Because the platform is an analytics-and-orchestration layer that depends on integrations to generate signals, visibility is only as complete as the connected stack, and it does not provide external attack surface, vendor risk, or security ratings capabilities of its own.
Zluri is a next-generation security platform built to manage both human and machine identities across the enterprise. Its core engine, an intelligence layer called IRIS, normalizes data from SaaS, cloud, and on-premises systems into a relationship graph that maps real-world permissions and access paths. Built on this foundation, Zluri delivers three core capabilities: visibility and intelligence (IVIP), governance and administration (IGA), and security posture management (ISPM)—using a universal connector to cover apps lacking native APIs. Additionally, it features SaaS management capabilities for cost control and shadow IT discovery. The platform, however, focuses strictly on compliance and posture rather than active runtime defense, so it does not offer ITDR, external attack surface management, or security ratings.
Key strengths
UpGuard unifies vendor, attack surface, and workforce risk in one console. Customers describe finally seeing the whole picture, rather than paying for three tools that each cover only part of it. UpGuard also surfaces exposures that ratings tools and scanners miss, without the multi-week delay of a typical scan cycle. Lean teams can run the entire program without expanding headcount or adding a managed service.
Living Security's core strength is data correlation. Its Intelligence Engine aggregates siloed signals from across an organization's existing security, identity, and training tools and connects them into a single, individual-level risk picture. The Human Risk Index translates that data into prioritized risk tiers, allowing teams to focus effort on the small percentage of users who drive the majority of exposure. The company also pairs this analytics layer with gamified and AI-personalized training content, which it positions as a driver of stronger completion and behavior-change rates. Backing all of this is a large, multi-year behavioral dataset drawn from 100+ enterprises and independently analyzed by the Cyentia Institute.
Zluri's primary strength lies in its comprehensive visibility across both human and machine identities, including service accounts and AI agents. Powered by its IRIS intelligence engine and a universal app connector, the platform maps real-world permissions and access paths across SaaS, cloud, and local systems into a single relationship graph. This rich telemetry feeds into its advanced lifecycle automation—seamlessly handling access reviews, joiner/mover/leaver workflows, and segregation-of-duties policies to satisfy major compliance frameworks such as SOC 2, ISO, and HIPAA. Additionally, its posture management features proactively flag risks such as over-privileged or dormant accounts, while retaining tools to optimize software spend and uncover shadow IT.
Key weaknesses
UpGuard focuses on managing live, connected risk, not heavy, standalone compliance software. Full governance features, including policy and controls management, arrive later this year. Teams that need a mature governance, risk, and compliance (GRC) system of record today can run UpGuard alongside one for now. UpGuard also doesn’t translate risk into dollar figures. If financial risk quantification is a must-have, factor that into your evaluation.
The most significant consideration is that Living Security depends on integrations with an organization's existing security tools to generate its risk signals, so its insights are only as complete as the connected stack. Organizations with a thin or poorly integrated toolset will see reduced value. Some users have also noted reporting limitations, such as the lack of an out-of-the-box view for tracking metrics against an exact training start date.
Reviews cite integration and data setup as limitations for Zluri: some application integrations require additional configuration or validation before usage data is fully accurate, adding onboarding time. Contract and spend-related data depend on the quality and completeness of the uploaded source documents, which requires upfront manual effort. Then there is complexity: Zluri is feature-rich, and the sheer number of features and views can feel overwhelming at first. These are largely onboarding and usability-oriented issues rather than fundamental gaps, and they come from a large, mostly positive review base.
Usability and learning curve
Teams deploy quickly and get up and running without an extended onboarding period. New employees can learn the interface without lengthy training. A single console consolidates workflows that would otherwise require multiple tools, reducing the ongoing burden of learning and maintaining separate systems. Operating the platform doesn’t require a professional services engagement.
Living Security emphasizes a low-friction onboarding experience, with a quick-start path to get a tenant up and running in minutes, along with a step-by-step guide for setting up an organization. The interface centers on visual, real-time dashboards that present risk at the organization, segment, department, and individual levels, and an embedded AI assistant (Livvy) is available throughout the platform to answer questions and surface insights, which lowers the learning curve for new users. The onboarding effort is the upfront integration work of connecting identity, training, phishing, and email security tools so the platform has the data to begin correlation.
Zluri is generally well-regarded for its usability. Onboarding centers on connecting integrations to build the identity and application inventory. Because the platform is broad, spanning visibility, IGA, posture, and SaaS management, reviewers note that the number of features and views can feel overwhelming at first, especially for non-technical users, creating a moderate learning curve to know where to focus. A large, positive review base suggests teams get up to speed effectively, but the main effort is the upfront integration and configuration work.
Cyber risk data accuracy
UpGuard’s data remains current. Vendor postures refresh continuously, and users can initiate a scan on demand instead of waiting for a fixed cycle. UpGuard attributes findings accurately, so teams do not spend weeks correcting assets assigned to the wrong company, a common issue with ratings tools. Threat Monitoring scans the open, deep, and dark web, along with social media, for leaked data, exposed credentials, and brand impersonation. AI filters out noise so the alerts that reach your team are worth acting on.
Living Security's data accuracy is anchored in its Human Risk Index, a dynamic score (1–1000, each identity starting at 500) built from both risky and vigilant user behaviors plus external threat signals. Rather than an additive tally, the HRI is a probabilistic model that weighs risks and correlations across 250+ measured behaviors drawn from three pillars: employee actions (phishing and training results), identity and access signals, and real-time threat intelligence. Because these signals are pulled directly from an organization's own systems of record through integrations, the data tends to be high-fidelity for behavioral and user-risk context, though it is behavior- and identity-based rather than independent external scanning, and the exact HRI weighting is proprietary.
Zluri excels at asset discovery by aggregating signals from direct APIs, identity providers, finance systems, and a browser agent. Its IRIS intelligence layer normalizes these multi-source inputs to map out exact permission paths for both human and machine identities across SaaS, cloud, and custom environments. While this provides high-fidelity visibility into active entitlements, reviewers note that data reliability varies with integration coverage, requiring manual validation for less-supported apps. Additionally, spend insights depend strictly on the completeness of uploaded contract documents, and the underlying data engine is structurally optimized for identity governance rather than live security threat telemetry.
Vendor risk management features
UpGuard runs the complete third-party risk management (TPRM) process in one platform: onboarding, assessing, remediating, monitoring, and reporting on vendors. Each vendor’s live external exposure and any linked leaked credentials appear directly within the vendor program, so teams can act on verified risk instead of relying on paperwork. AI-powered security questionnaires read vendor evidence and complete assessments automatically, cutting completion time by up to 95%. Instant risk assessments return a point-in-time report in under a minute, mapped to frameworks like ISO 27001 and NIST CSF 2.0.
Dedicated vendor (third-party) risk management is outside Living Security's scope. While the platform extends its human-risk monitoring to contractors and other extended-workforce identities, this coverage applies to individuals, not to company-level third-party risk management. It does not provide the core TPRM workflows (vendor security questionnaires, compliance assessments, remediation tracking, or continuous vendor monitoring) that define a dedicated VRM platform, so organizations needing third-party risk management would require a separate tool.
Zluri is not a dedicated third-party/vendor risk management (TPRM) platform, and lacks the security-oriented VRM lifecycle of a dedicated solution. Its vendor-related capabilities are operational and governance-focused: it manages SaaS vendor contracts, renewals, and spend, tracks which third-party (and AI) apps are in use, and governs access to them, including surfacing risky or over-permissioned third-party integrations. This provides useful visibility into third-party apps in an environment and helps control access, but organizations that need vendor security due diligence and assessments would require a dedicated VRM/TPRM tool.
Attack surface management features
UpGuard continuously monitors your internet-facing footprint. It maps assets, flags exposures such as misconfigurations, expired certificates, and open ports, and ranks remediation priorities. The UpGuard platform also detects typosquatting and lookalike domains set up to impersonate your brand before they’re used for phishing. Because attack surface monitoring runs alongside vendor and workforce risk, an exposed asset or leaked credential automatically links to the person and vendor involved. This gives teams visibility into both external exposure and vendor risk in a single view.
Attack surface management is not a function of Living Security. The platform does not discover, inventory, or monitor an organization's external-facing digital assets (domains, IPs, exposed services, or certificates) the way a dedicated ASM or security-ratings tool does. Its Intelligence Engine ingests public OSINT and external threat-intelligence signals, but these serve as contextual inputs for individual human risk scoring rather than for mapping or continuously monitoring an external attack surface. Organizations requiring ASM capabilities would need a separate solution.
Zluri's Identity Security Posture Management (ISPM) notably minimizes enterprise exposure by mapping access paths across all human and machine accounts. The platform actively surfaces internal risks—such as over-privileged users, toxic access combinations, dormant accounts, and unmonitored shadow apps—before guiding teams through prioritized remediation and access reviews. However, this defense is strictly identity-centric. Zluri does not scan external, internet-facing infrastructure such as domains, IPs, or certificates, so organizations that require traditional attack surface management (ASM) will still need a dedicated tool.
Customer support
UpGuard supports every customer across all plan tiers, from the smallest plan to the largest. Support teams assist with both technical setup and larger program decisions. Customers frequently cite responsive, hands-on support as a reason they continue with UpGuard.
Self-service options include the "Support Garden" knowledge base, a ticket-based support request system, and a customer community for submitting ideas and feedback. Support is structured around an always-on AI chat assistant that serves as the first line of help and escalates unresolved issues to the support team, backed by a standard ticket queue that aims to respond within 48 business hours. For time-sensitive issues, a separate critical-support path handles urgent needs outside standard business hours (Monday–Friday, 8 am–5 pm CT). In-product guidance is delivered through an embedded Resource Center offering walkthroughs and quick access to the knowledge base and community.
Customer support is frequently praised across Zluri's large G2 review base, with customers highlighting responsive support and hands-on customer success and onboarding assistance. Self-service resources are well developed: Help Docs, a support portal, Zluri Academy for training and enablement, and a Trust Center. New customers are typically guided through onboarding and integration setup by Zluri's team, which helps offset the platform's breadth and upfront configuration effort. The main caveat is that Zluri does not publicly document formal support tiers or SLAs, so specifics are set during contracting.
Workflow automation
Risk Automations turns a risk signal into action across the platform, with no code and no engineering ticket. On the vendor side, it automates onboarding from questionnaire data, triages vendor score drops, schedules recurring vendor reports, and opens remediation tickets in ServiceNow or Jira. On the threat side, a Breach Risk detection can trigger a workflow that alerts Teams or Slack and runs a system-level fix, like blocking a malicious IP or forcing a credential reset. This is the difference between a tool that reports on risk and one that resolves it.
Living Security's Actions framework lets teams build playbooks that trigger automatically when an individual's risk rises, deploying targeted training, nudges, manager alerts, access-control changes, and ITSM tickets without manual intervention. The company positions this as automating 60–80% of remediation while keeping a human in the loop for oversight, with just-in-time coaching delivered directly in Slack and Teams. Tailored, risk-based action plans are generated and executed from within the platform itself. As with its risk signals, the reach of automated controls depends on the upstream and downstream tools an organization has integrated.
Zluri leverages a no-code engine to automate the entire identity lifecycle—handling onboarding provisioning, role changes, and access revocation seamlessly. Beyond core lifecycle management, it supports self-service requests and compliance audits with features such as automated reviews, one-click remediation, and segregation-of-duties enforcement. It also extends into posture management by automatically flagging and resolving dormant or over-privileged access. While the absolute reach of these automated workflows is ultimately bound to your target systems, Zluri's universal connector allows teams to easily extend this governance to custom or legacy apps that lack native APIs.
Artificial intelligence features
UpGuard’s AI performs specific, defined tasks, rather than vague “AI-powered” work. The AI Threat Analyst sorts and scores incoming threats across your attack surface, the dark web, and social media. It clears out approximately 60% of alerts as noise, so your team only reviews what matters. The same triage logic extends to vendor and workforce signals as well. Every AI result carries a citation back to the source, so your team can verify it before acting.
Artificial intelligence is central to Living Security's current positioning as an "AI-native" platform. Its AI engine, branded Livvy, is trained on what is described as the industry's largest HRM dataset and unifies 300+ behavioral, identity, and threat signals into a Human Risk Index for every identity. Livvy spans prediction (flagging risk before it becomes an incident), guidance (surfacing prioritized recommendations with stated reasoning, confidence scores, and predicted impact), and action (driving automated remediation playbooks). AI is also applied to content creation, generating risk-aligned, hyper-personalized training.
AI and machine learning underpin Zluri's IRIS identity intelligence layer, which analyzes identity and access signals to detect access anomalies and risk, prioritize issues by impact, and recommend clear remediation actions. AI also powers discovery and classification by automatically identifying and categorizing SaaS and AI apps, including shadow IT, and supports access reviews with recommendations that speed approve/revoke decisions. Zluri also monitors AI apps and helps govern non-human and AI agent identities. These are meaningful, embedded intelligence capabilities oriented toward identity governance and risk, though Zluri positions them as an intelligence and decisioning layer rather than a broad, branded generative AI copilot.
API and integrations
A well-documented REST API and webhooks let teams pull risk data into their own tools and trigger actions programmatically, without waiting on engineering support. For no-code work, Risk Automations adds more than 100 native integrations, including Jira, ServiceNow, Microsoft Entra, Slack, and Cloudflare. A Universal API Connector Node extends its reach to any open API.
Through its Technology Alliance Program, Living Security maintains pre-built connectors to dozens of widely used security, identity, and HR systems, including Microsoft (Azure, Defender, Intune), Okta, SailPoint, CrowdStrike, Proofpoint, Mimecast, Abnormal, Cofense, KnowBe4, Netskope, Zscaler, Rapid7, and Workday. Its Entity Graph unifies identity data across HRIS, SSO, endpoint, and email sources into a single user profile, and integrations also support outbound actions such as ITSM ticketing and access-control changes. Living Security publishes technical documentation that includes APIs for programmatic access, though detailed API references are gated.
Zluri features one of the largest integration catalogs in its category, providing hundreds of deep, bi-directional connectors across identity providers (Okta, Entra, Google), HRMS, finance, and core SaaS apps to power both asset discovery and automated provisioning. To eliminate the blind spots of connector-only platforms, its Universal Identity Connector (part of IRIS) seamlessly extends this governance to custom, cloud, and on-premises applications. While an open API supports broader custom data exchange, user reviews note a key caveat: integration depth varies by app, and certain platforms require extra configuration or validation before returning fully reliable data.
Purchasing & licensing transparency
UpGuard publishes its pricing rather than hiding it behind a sales call. A free tier lets teams monitor up to five vendors and use Trust Exchange, UpGuard’s AI-powered questionnaire tool, at no cost. Paid Vendor Risk plans start at USD 1,750 per month, billed annually. Teams can start with one product and add others as they scale. One license covers both monitoring and assessments, so pricing doesn’t fragment across separate products.
Living Security publishes its packaging structure but not its prices. The platform is sold as a required base (the "Living Security Platform") plus one of three Action Packages: Train, Engage, or Adapt. Buyers are directed to "contact us for enterprise pricing." Several capabilities (phishing simulations, Cybersecurity Awareness Month, CyberEscape Online, AI content generation, and professional services) are priced separately as add-ons. There is no free plan or free trial; evaluation runs through a sales-led demo environment.
Zluri does not publish public pricing. Pricing is quote-based and obtained through a sales demo, typically scaled by organization size and the products/modules selected; third-party marketplaces have estimated roughly $4–8 per user per month and a tiered structure (e.g., Standard/Professional/Enterprise), but Zluri does not confirm these publicly. Zluri's website offers an ROI calculator to estimate value, and evaluation is sales-led (demo/proof of concept) rather than a self-service free trial. Ultimately, cost and packaging are opaque and require a sales conversation.
Customers
UpGuard customers include Intercontinental Exchange (NYSE: ICE), Morningstar, TDK, PagerDuty, Hopin, and IAG. Read UpGuard’s customer stories to learn more.
Living Security publicly references a roster of large, recognizable enterprise customers across multiple regulated industries. Examples include Verizon, JPMorgan, CVS Health, Lockheed Martin, and Ford. The customer base skews toward Fortune 500 and large enterprises in finance, healthcare, technology, and manufacturing.
Zluri publishes an extensive set of named customer case studies across mid-market and enterprise organizations, many with quantified outcomes. Examples include BambooHR, Nuvei, Narvar, Guesty, and Underdog (others featured include Kasada, Tripledot Studios, Pano AI, Radicle Health, and Anzu), with results such as large IT-hour savings, faster provisioning, and reduced audit time. The customer base skews toward technology, fintech, and mid-to-large enterprises managing significant SaaS and identity sprawl. The roster is broad and well-documented, though it leans toward recognizable tech and mid-market names rather than marquee Fortune 100 brands.
G2 rating Accurate as of March 2025
More than 700 verified reviews give UpGuard a 4.5 out of 5 rating on G2. UpGuard also holds G2’s top ranking as the leader in Third-Party & Supplier Risk Management for 15 consecutive quarters. The 2026 G2 Best Software Awards recognized UpGuard as one of the Top 100 Global Software Companies. Among verified reviewers, 98% give UpGuard four- or five-star ratings, and 94% approve of its product direction.
4.8, based on 6 reviews.
4.6, based on 177 reviews.
Security ratings
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944 / 950
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834 / 950
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870 / 950
Did you know UpGuard was voted #1 on G2 and has been for over two years?
Living Security vs Zluri product overview
Learn more about the products and how they compare.
Overview
We assess three user risk solutions — Living Security, Zluri, and UpGuard — to help you make an informed decision before investing in the right solution for your needs.
Living Security Overview
Living Security is an AI-native human risk management (HRM) platform that measures and reduces risk across an organization’s workforce, including employees, contractors, and AI agents. Its Intelligence Engine correlates 300+ behavioral, identity, and threat signals from a customer’s existing security stack into a Human Risk Index (HRI) that sorts individuals into five risk tiers. It backs this with a multi-year behavioral dataset from 100+ enterprises, analyzed by the Cyentia Institute. It pairs that with gamified, AI-personalized training and an embedded assistant, Livvy.
Zluri Overview
Zluri is a security platform built to manage both human and machine identities across the enterprise. Its intelligence layer, IRIS, normalizes data from SaaS, cloud, and on-premises systems into a relationship graph that maps real-world permissions and access paths, feeding three core capabilities: visibility and intelligence (IVIP), governance and administration (IGA), and security posture management (ISPM). It also includes SaaS management for cost control and shadow IT discovery, but focuses on compliance and posture rather than active runtime defense, so it doesn’t offer ITDR, external attack surface management, or security ratings.
UpGuard Overview
UpGuard is a third-party risk and attack surface management platform that
helps global organizations prevent data breaches, monitor third-party
vendors, and improve their security posture.
UpGuard’s platform uses proprietary security ratings, data leak detection
capabilities, and remediation workflows to proactively identify security
exposures.
UpGuard’s all-in-one third-party risk and attack surface management
software intelligently groups risks into six categories: website risks,
email security, network security, phishing & malware, reputation risk, and
brand protection.
Usability and the learning curve
Living Security: Onboarding centers on a quick-start path that stands up a tenant in minutes, with visual dashboards at the organization, segment, department, and individual level. An embedded AI assistant (Livvy) lowers the learning curve, though most of the effort is upfront: connecting identity, training, phishing, and email security tools so the platform has data to correlate.
Zluri: Onboarding centers on connecting integrations to build the identity and application inventory, and reviewers generally rate the platform as easy to use. Because it spans visibility, IGA, posture, and SaaS management, the number of features and views can feel overwhelming at first, creating a moderate learning curve to know where to focus, though a large, positive review base suggests teams get up to speed once that initial setup is done.
UpGuard: High-level summation of risk with the ability to drill down into precise technical details. Each risk is prioritized based on extensive research conducted by the in-house security team, and where possible remediation and protection suggestions are provided.
Capabilities
Living Security: Living Security works from the inside out, correlating signals from an organization’s existing security, identity, and training tools into a per-person risk score, then driving targeted training, nudges, and automated controls at the individuals who account for most exposure. Its value depends entirely on the integrations connected to it; a thin toolset limits what it can see, and it doesn’t address vendor risk or external attack surface.
Zluri: Zluri is an identity-first platform: its IRIS engine maps human and machine identities and their access paths into a single relationship graph, then layers lifecycle automation, access reviews, and posture checks on top to satisfy frameworks like SOC 2 and HIPAA. Its strength is breadth: a large integration catalog and a universal connector extend that governance to apps and on-premises systems without native APIs. Its limitation is scope: the platform stops at compliance and posture, offering no ITDR, external attack surface management, or security ratings, and the number of features can feel overwhelming to configure at the outset.
UpGuard: Offers real-time visibility into any third-party vendor’s risk posture and security rating along with total automation for managing vendor due diligence and remediation programs.
Community support
Living Security: Day-to-day support runs on an always-on AI chat assistant that escalates to a ticket queue targeting a 48-business-hour response, with a separate critical-support path for urgent issues outside standard hours.
Zluri: Reviewers frequently praise Zluri’s customer support, citing hands-on onboarding assistance and responsiveness. Self-service resources include Help Docs, a support portal, Zluri Academy for training, and a Trust Center, though formal support tiers and SLAs aren’t publicly documented.
UpGuard:UpGuard Summit brings together a community of security leaders from leading companies, explores the future of security, and helps businesses stay secure. The UpGuard cybersecurity and risk management blog is updated four times a week and the breach research blog has uncovered and secured some of the largest data breaches. UpGuard’s free weekly Breach Newsletter informs 20,000+ subscribers of the latest global data breaches.
Release rate
Living Security: Does not maintain a public changelog or version-by-version release notes. Product news surfaces instead through its blog and Newsroom, including milestone announcements like the launch of its AI-native platform, and it publishes no fixed release schedule.
Zluri: No formal, version-by-version changelog is published. Instead, Zluri posts recurring “Zluri Updates” recaps on its blog, roughly monthly, covering new features and integrations, and it reported shipping over 250 product updates in 2024. There’s no fixed release schedule beyond that regular cadence.
UpGuard: UpGuard has adopted DevOps principles internally to develop, test, and release software continuously, ensuring fast, consistent, and safe releases. UpGuard has a regular release rate every two weeks, with all features, changes, and improvements listed under UpGuard Release Notes.
Pricing and support
Living Security: Pricing isn’t published. It’s sold as a required base subscription plus one of three Action Packages (Train, Engage, Adapt), with phishing simulations, AI content generation, and professional services priced as separate add-ons. There’s no free plan or trial; evaluation runs through a sales-led demo. See Living Security’s pricing.
Zluri: Pricing isn’t published. It’s quote-based, scaled by organization size and the modules selected (identity visibility, IGA, ISPM, and SaaS management), and obtained through a sales demo; third-party estimates put costs around $4 to $8 per user per month, though Zluri doesn’t confirm this. There’s no free plan, and evaluation runs sales-led rather than through a self-service trial. See Zluri’s pricing.
UpGuard: UpGuard has a fully transparent and publicly accessible pricing model which you can view here. If you have any questions, please email sales@upguard.com.
API and extensibility
Living Security: Technical documentation covers APIs for programmatic access to risk data and platform actions, though detailed references are gated behind a customer login. Its Entity Graph unifies identity data pulled from HRIS, SSO, endpoint, and email sources into a single profile per person, and integrations extend to outbound actions like opening ITSM tickets or triggering access-control changes based on a person’s risk score.
Zluri: An open API supports custom data exchange, and Zluri’s Universal Identity Connector extends governance to custom, cloud, and on-premises applications that lack native APIs. Integration depth varies by app, and some platforms require extra configuration before returning fully reliable data.
UpGuard: Offers a standard API to pull data from UpGuard’s platform into other enterprise applications.
Third-party integrations
Living Security: Its Technology Alliance Program connects the platform to Microsoft (Azure, Defender, Intune), Okta, SailPoint, CrowdStrike, Proofpoint, Mimecast, KnowBe4, Netskope, Zscaler, Rapid7, and Workday.
Zluri: Hundreds of deep, bi-directional connectors cover identity providers (Okta, Microsoft Entra, Google), HRMS and finance systems, and core SaaS apps, one of the larger catalogs in its category.
