Rapid7 InsightVM vs Splunk User Behavior Analytics comparison

Rapid7 InsightVM is a comprehensive vulnerability management platform that protects your systems from attackers and is easy to scale. The solution provides easy access to vulnerability management, application security, detection and response, external threat intelligence, orchestration and automation, and more. Rapid7 InsightVM is ideal for security, IT, and DevOps teams, helping them reduce risk by enabling them to detect and respond to attacks quickly.

Rapid7 InsightVM Features

Rapid7 InsightVM has many valuable key features. Some of the most useful ones include:

• Automated containment: With this feature, you can decrease exposure from vulnerabilities by automatically implementing temporary (or permanent) compensating controls via your network access control (NAC) systems, firewalls, and endpoint detection and response tools.

• Policy assessment: Rapid7 InsightVM offers pre-built scan templates for common compliance requirements. The solution helps you take clear, actionable steps to compliance once you have assessed your risk posture. In addition, Rapid7 InsightVM’s Custom Policy Builder allows you to modify existing benchmarks or create new policies from scratch.

• REST API: Rapid7 InsightVM REST API is easy to use and was built to easily automate virtually any aspect of vulnerability management, from data collection to risk analysis.

• Live dashboards: Rapid7 InsightVM includes dashboards that are live and interactive by nature. The live dashboards enable you to create custom cards and full dashboards for anyone in your organization and allow you to track progress of your security program.

• Automation-assisted patching: Rapid7 InsightVM’s automation-assisted patching gives you the autonomy to make key decisions in your patching process, such as your approval to apply certain patches to certain vulnerabilities.

• Real risk prioritization: Rapid7 InsightVM makes it simple to know which vulnerabilities need to be prioritized and where your riskiest assets lie.

• Goals and SLA’s: This feature enables you to make and track progress toward your goals and service level agreements (SLAs) at an appropriate pace.

Rapid7 InsightVM Benefits

There are many benefits to implementing Rapid7 InsightVM. Some of the biggest advantages the solution offers include:

• Attack surface monitoring for maintained visibility: By leveraging attack surface monitoring with Project Sonar (a Rapid7 research project that regularly scans the internet to gain insights into global exposure to common vulnerabilities), you can gain more control of all of your external-facing assets, both known and unknown.

• Container security: Rapid7 InsightVM integrates with your CI/CD tools, public container repositories, and private repositories to assess container images for vulnerabilities during the build process even before they are deployed.

• Lightweight endpoint agent: Rapid7 InsightVM unifies data so you only need to install a single agent for continuous vulnerability assessment, incident detection, and log data collection.

• Easily assign and track remediation duties: Using Rapid7 InsightVM, IT and security teams can assign as well as track remediation duties without having to deal with remediation reports, complex spreadsheets, or back-and-forth email tags.

• Integration with cloud services and virtual infrastructure: Rapid7 InsightVM provides full visibility into risk across your physical, virtual, and cloud infrastructure.

• Integrated threat feeds: Rapid7 InsightVM is designed with integrated threat feeds, giving you a dynamic view that shows you which threats are most relevant to your environment, enabling you to better protect against current, impending threats so you can react quickly to critical vulnerabilities.

Reviews from Real Users

Below are some reviews and helpful feedback written by PeerSpot users currently using the Rapid7 InsightVM solution.

An owner at a tech services company says, "I liked the dashboard on it. I could customize my dashboard with different widgets and different heat maps."

PeerSpot user Kimeang S., Technical Consultant at Yip Intsoi, mentions, "The most important aspect of the solution is that it rarely gives false positives, especially compared to other products. It provides very clear reports for our IT teams to look at."

A Director of Information Technology at a government explains, "The main functionality of identifying item endpoints that weren't properly patched or had vulnerabilities is the solution's most valuable feature."

Splunk User Behavior Analytics is a behavior-based threat detection is based on machine learning methodologies that require no signatures or human analysis, enabling multi-entity behavior profiling and peer group analytics for users, devices, service accounts and applications. It detects insider threats and external attacks using out-of-the-box purpose-built that helps organizations find known, unknown and hidden threats, but extensible unsupervised machine learning (ML) algorithms, provides context around the threat via ML driven anomaly correlation and visual mapping of stitched anomalies over various phases of the attack lifecycle (Kill-Chain View). It uses a data science driven approach that produces actionable results with risk ratings and supporting evidence that increases SOC efficiency and supports bi-directional integration with Splunk Enterprise for data ingestion and correlation and with Splunk Enterprise Security for incident scoping, workflow management and automated response. The result is automated, accurate threat and anomaly detection.