This article was written and contributed with our partner, Armis.

The Current Model is Broken

The volume of accumulated security findings in the alert backlog is measured in the millions.(1) Faced with the adoption of new technologies straining their already overloaded processes, security teams have taken tactical approaches to dealing with a flood of security issue alerts, partial tool visibility into complex environments, and not enough information to prioritize and operationalize remediation for distributed operations teams. Unfortunately, many organizations continue to put more money into revamped versions of stale technologies, or continue to leverage inadequate programs:

A New Approach is Needed

Alert fatigue, resource constraints, limited budgets, personnel shortages, and competing priorities: how do you optimize the use of resources while minimizing exposure to the business? The answer is risk prioritization and remediation, executed for the right findings, using effective workflows. Armis has already been acclaimed by customers, partners, and analysts as it redefined vulnerability management by combining real-world threat intelligence and analytics applied to each individual business landscape. Our platform's comprehensive Asset Intelligence Engine adds risk scores, business criticality, and threat intelligence feeds to provide a single pane of glass for organizational assets, their vulnerabilities, and their business impact. Armis Centrix™ for VIPR Pro – Prioritization and Remediation extends these capabilities and translates security findings into actionable operational remediation to revolutionize the risk resolution lifecycle.

More Than Vulnerability Management

Armis consolidates detection tool findings and deduplicates alerts, extending from on- premise hosts and endpoints to code, cloud services and application security tools. Organizations using Armis Centrix™ gain additional visibility into their asset attack surface, including unconventional assets like medical devices, IoT and OT. 

Our technology assigns context to findings, including threat intelligence, likelihood of exploit, and asset attributes like business impact and compliance policies. The result is an automatically prioritized list of findings.

To facilitate resolution tasks, Armis generates predictive ownership rules through AI to assign fix responsibilities and enables ongoing communication for distributed teams through bidirectional integration with their preferred workflow or ticketing system.

Advanced dashboards, reports and leaderboards help security leaders understand how teams and tools are performing, and measure the effectiveness of the remediation process for executive stakeholder reporting.

Unify

Ingest data from existing sources, including asset context, EDR, on premise, cloud services, code, and applications. Armis supports non-intrusive, read-only integrations to detection tools, vulnerability scanners, asset management tools, developer tools, developer security platforms and more.

Correlate all security findings and reduce the findings volume with ML deduplication.

Contextualize

Assign context to findings including threat intelligence, likelihood of exploit, and asset attributes like environmental information and business impact.

Prioritize

Automate prioritization based on business impact, adaptable risk severity and likelihood of the exploit. 

Focus on high-impact fixes that will resolve the largest number of security issues. Pinpoint the earliest point in the code pipeline where a fix will resolve the largest number of related run-time and production findings. 

Optional integration with Armis Centrix™ for Actionable Threat Intelligence: AI technology and machine learning algorithms to stop attacks before they impact your organization.

Assign and Remediate

Leverage AI-driven predictive capabilities to determine who is most likely responsible for the asset and the remediation. Assign ownership for prioritized fixes based on automated mapping, with ongoing AI-based refinement based on operations feedback. 

Integrate with existing workflows and tools. Manage a single, streamlined ticketing process for open findings with a common fix or associated with the same asset type using grouping, and track progress for grouped remediations. 

Enable self-service for risk resolution: assign fix recommendations in teams workflow tools of choice and manage feedback and exception requests through bidirectional workflow integration.

Monitor and Report

Track and demonstrate progress for both individuals tasks, as for overall risk trends in the organization. 

Understand how your teams and the tools they are using are performing through a consolidated dashboard, and measure the effectiveness of the remediation process. 

Maintain visibility into remediation progress and automate follow ups for exception requests.

The Armis Difference

Remediation-Driven and Risk-Based Vulnerability Prioritization

We uniquely address the historical gap in cybersecurity between security findings and actionable remediation. Armis enables organizations to target remediation based on actual business impact.

AI-driven Asset Intelligence Engine

Being the industry's first, Armis monitors over 4 billion global assets. We define what's "normal" and instantly pinpoint anomalies. This vast data pool aids in enhancing data, and continually updating customers with fresh intelligence. Significantly, through integration with Armis Centrix™ we don't leave any asset behind, identifying vulnerabilities and other risks even on unconventional assets like medical devices, IoT and OT.

Broadest Coverage

Armis provides the broadest coverage of detection tools, with new integrations added on an ongoing basis. Integrations are non-intrusive, taking an agentless approach based on security best practices.

True 360-Degree Insight

While competitors stop at aggregating vulnerabilities, Armis delves deeper. Our product works both for teams focused on vulnerability management, cloud security, and application security, as well as across teams. We provide a centralized, customizable view of risk across teams, and visibility across infrastructure and run time environments to identify the fix with the most impact at the earliest point in the pipeline.

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