AristotleInsight vs. RevealSecurity Comparison Chart

Define and Deliver Comprehensive Cybersecurity Services. Security threats continue to grow, and your clients are most likely at risk. Small- to medium-sized businesses (SMBs) are targeted by 64% of all cyberattacks, and 62% of them admit lacking in-house expertise to deal with security issues. Now technology solution providers (TSPs) are a prime target. Enter ConnectWise Cybersecurity Management (formerly ConnectWise Fortify) — the advanced cybersecurity solution you need to deliver the managed detection and response protection your clients require. Whether you’re talking to prospects or clients, we provide you with the right insights and data to support your cybersecurity conversation. From client-facing reports to technical guidance, we reduce the noise by guiding you through what’s really needed to demonstrate the value of enhanced strategy.

Netwrix Auditor is a visibility platform that enables control over changes, configurations and access in hybrid IT environments and eliminates the stress of your next compliance audit. Monitor all changes across your on-prem and cloud systems, including AD, Windows Server, file storage, databases, Exchange, VMware and more. Simplify your reporting and inventory routines. Regularly review your identity and access configurations, and easily verify that they match a known good state.

Safetica is an integrated Data Loss Prevention (DLP) and Insider Risk Management (IRM) solution, which helps companies to identify, classify, and protect sensitive data as well as detect, analyze, and mitigate risks posed by insiders within an organization. Safetica covers the following data security solutions: ✅ Data Classification: Safetica offers complete data visibility across endpoints, networks, and cloud environments. ✅ Data Loss Prevention: With Safetica, you can protect sensitive business- or customer-related data, source codes, or blueprints from accidental or intentional exposure through instant notifications and policy enforcement. ✅ Insider Risk Management: With Safetica, you can analyze insider risks, detect threats, and mitigate them swiftly. ✅ Cloud Data Protection: Safetica can monitor and classify files directly during user operations. ✅ Regulatory compliance: GDPR, HIPAA, SOX, PCI-DSS, GLBA, ISO/IEC 27001, SOC2 or CCPA.

Satori is a Data Security Platform (DSP) that enables self-service data and analytics. Unlike the traditional manual data access process, with Satori, users have a personal data portal where they can see all available datasets and gain immediate access to them. Satori’s DSP dynamically applies the appropriate security and access policies, and the users get secure data access in seconds instead of weeks. Satori’s comprehensive DSP manages access, permissions, security, and compliance policies - all from a single console. Satori continuously discovers sensitive data across data stores and dynamically tracks data usage while applying relevant security policies. Satori enables data teams to scale effective data usage across the organization while meeting all data security and compliance requirements.

Source Defense is a mission critical element of web security designed to protect data at the point of input. The Source Defense Platform provides a simple and effective solution for data security and data privacy compliance – addressing threats and risks originating from the increased use of JavaScript, third-party vendors, and open-source code in your web properties. The Platform provides options for securing your own code, as well as addressing a ubiquitous gap in the management of third-party digital supply chain risk – controlling the actions of the third-party, fourth and nth party JavaScript that powers your site experience. The Source Defense Platform protects against all forms of client-side security incidents – keylogging, formjacking, digital skimming, Magecart, etc. – by extending web security beyond the server to the client-side (the browser).

Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging.

IBM SPSS Statistics software is used by a variety of customers to solve industry-specific business issues to drive quality decision-making. Advanced statistical procedures and visualization can provide a robust, user friendly and an integrated platform to understand your data and solve complex business and research problems. • Addresses all facets of the analytical process from data preparation and management to analysis and reporting • Provides tailored functionality and customizable interfaces for different skill levels and functional responsibilities • Delivers graphs and presentation-ready reports to easily communicate results Organizations of all types have relied on proven IBM SPSS Statistics technology to increase revenue, outmaneuver competitors, conduct research, and data driven decision-making.

(Bank CFO) “I don’t have confidence and trust in our data. We keep discovering hidden risks”. Since 70% of data initiatives fail due to unreliable data (Gartner research), are you risking your reputation by trusting the accuracy of your data that you share with your business stakeholders and partners? Data Trust Scores must be measured in Data Lakes, warehouses, and throughout the pipeline, to ensure the data is trustworthy and fit for use. It typically takes 4-6 weeks of manual effort just to set a file or table for validation. Then, the rules have to be constantly updated as the data evolves. The only scalable option is to automate data validation rules discovery and rules maintenance. DataBuck is an autonomous, self-learning, Data Observability, Quality, Trustability and Data Matching tool. It reduces effort by 90% and errors by 70%. "What took my team of 10 Engineers 2 years to do, DataBuck could complete it in less than 8 hours." (VP, Enterprise Data Office, a US bank)

GitGuardian is a code security platform that provides solutions for DevOps generation. A leader in the market of secrets detection and remediation, its solutions are already used by hundreds of thousands of developers. GitGuardian helps developers, cloud operation, security, and compliance professionals secure software development and define and enforce policies consistently and globally across all systems. GitGuardian solutions monitor public and private repositories in real-time, detect secrets, sensitive files, IaC misconfigurations, and alert to allow investigation and quick remediation. Additionally, GitGuardian's Honeytoken module exposes decoy resources like AWS credentials, increasing the odds of catching intrusion in the software delivery pipeline. GitGuardian is trusted by leading companies, including 66 degrees, Snowflake, Orange, Iress, Maven Wave, DataDog, and PayFit. Used by more than 300K developers, it ranks #1 in the security category on GitHub Marketplace.

BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven.