Armis

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  Agentless Deployment

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  Actionable Threat Intelligence

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  User and Entity Behavior Analytics

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  Remote Access Management

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  Cloud Security

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  Integration with Firewalls and NAC

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  Integration with CMDBs

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  Integration with SIEMs

Where in GCC does Armis have offices?

Armis has a presence in the Gulf Cooperation Council (GCC) region through its partnerships and representatives. Specifically:

• United Arab Emirates (UAE): Armis operates through Cyber Knight Technologies FZ-LLC, located in Dubai Internet City, Dubai.
• Saudi Arabia: Armis is represented by Knights for Telecom and Information Technology Company, with an office at Al-Oula Building, King Fahad Road, Al Mohamadiya, Riyadh.

These offices provide regional support and services for customers in the Middle East.

Who are Armis customers in the Middle East?

Armis serves a wide range of industries in the Middle East, including government entities, healthcare providers, critical infrastructure operators, and enterprises. While specific customer names in the region are not disclosed, globally recognized clients of Armis include organizations like Colgate-Palmolive, Mondelēz, PepsiCo, and AT&T. In the Middle East, Armis likely works with similar large enterprises and critical infrastructure providers to secure unmanaged and IoT devices across IT/OT environments.

What is Armis' local address?

The local addresses for Armis' representatives in the GCC are:

• United Arab Emirates (UAE):
  • Cyber Knight Technologies FZ-LLC
  • Office #54, Ground Floor, Building 17
  • Dubai Internet City, Dubai
• Saudi Arabia:
  • Knights for Telecom and Information Technology Company
  • Office 606, Al-Oula Building
  • King Fahad Road, Al Mohamadiya
  • Riyadh, KSA

These offices serve as contact points for regional customers.

Is the Armis platform available in Arabic?

No.

Does the Armis platform use AI? And where?

Yes, the Armis platform extensively uses artificial intelligence (AI) across its functionalities to enhance cybersecurity and asset management. The AI capabilities are deeply integrated into its Armis Centrix™ platform and Asset Intelligence Engine, enabling advanced threat detection, asset profiling, and proactive risk management. Below are the specific areas where Armis leverages AI:

1. Asset Intelligence Engine

• The Armis Asset Intelligence Engine is an AI-powered knowledge base that monitors billions of assets globally. It uses AI to:
  • Identify cyber risk patterns and behaviors.
  • Enrich asset profiles with detailed contextual data, such as risk scores and vulnerability information.

  • Provide actionable insights for securing physical and virtual assets across IT, IoT, OT, and medical device environments.

     

2. Threat Detection and Anomaly Analysis

• Armis employs AI for real-time anomaly detection by analyzing asset behavior and network traffic against "known good" baselines. This multi-layered detection approach helps uncover:
  • Complex attack patterns that traditional signature-based methods might miss.
  • Indicators of Compromise (IOCs) and anomalous behaviors at a granular level before they escalate into large-scale attacks.

3. Predictive AI for Threat Hunting

• Through its acquisition of CTCI, an AI-powered pre-attack threat-hunting technology company, Armis has integrated predictive AI capabilities into its platform. These include:
  • Leveraging dark web intelligence to identify preparatory indicators of attacks.
  • Dynamically deploying honeypots optimized to the actual attack surface to observe malicious behaviors during the reconnaissance phase.

  • Using predictive analytics to preemptively mitigate risks before attacks occur.

     

4. Generative AI for Natural Language Queries

• The platform includes a Generative AI-powered assistant that allows users to interact with the system using natural language queries. For example:
  • Users can ask questions like “What are the most vulnerable medical devices in my network?” or “Which CVEs pose the highest risk to my manufacturing assets?”

  • This feature simplifies data retrieval and enhances productivity by providing intuitive, context-aware responses.

     

5. Automation and Remediation

• AI automates processes like vulnerability prioritization, ticketing workflows, and remediation actions. This ensures that security teams can address critical issues efficiently without being overwhelmed by manual tasks.

   

6. Early Warning Systems

• The Armis Centrix™ Early Warning System uses AI to:
  • Analyze dark web chatter for emerging threats.
  • Deploy purpose-configured honeypots in potential hotspots to monitor attacker behaviors.

  • Integrate human intelligence with machine learning for enhanced accuracy in detecting preparatory stages of attacks.

     

7. Proactive Risk Management

• Armis uses AI-driven risk scoring to prioritize vulnerabilities based on their potential impact on an organization’s critical assets.
• The platform also enables organizations to simulate potential attack scenarios and adjust defenses accordingly.

What AI does Armis use? ChatGPT, etc.?

Armis leverages a variety of advanced AI technologies, including generative AI (GenAI) and predictive AI, to enhance its cybersecurity and asset management capabilities. Armis employs large language models (LLMs) and proprietary AI systems to power its platform, particularly within the Armis Centrix™ platform and AI Assistant. Below is a detailed breakdown of the AI technologies Armis uses:

1. Generative AI (GenAI) for Natural Language Queries

• Armis integrates generative AI capabilities into its Centrix™ platform, enabling users to interact with the system via natural language queries.
• The AI Assistant allows users to ask questions in plain language, such as:
  • "What are the most vulnerable medical devices in my network?"
  • "Which CVEs pose the highest risk to my manufacturing assets?"

• By training its LLMs on Armis' vast dataset of over 3 billion tracked assets and customer-specific data, the platform delivers context-aware and actionable insights.

   

2. Predictive AI for Threat Hunting

• Through its acquisition of CTCI, an AI-powered pre-attack threat-hunting technology company, Armis has integrated predictive AI into its platform. This technology enables:
  • Dark Web Intelligence: Monitoring dark web chatter for early indicators of emerging threats.
  • Dynamic Honeypots: Deploying purpose-configured honeypots to observe attacker behaviors during reconnaissance stages.

  • Proactive identification of preparatory attack indicators months before an attack occurs.

     

3. Asset Intelligence Engine

• The Armis Asset Intelligence Engine, powered by proprietary AI algorithms, tracks over 3 billion assets globally. It uses machine learning to:
  • Enrich asset profiles with detailed contextual data, such as risk scores and vulnerabilities.
  • Analyze asset behavior against "known good" baselines to detect anomalies and threats.

  • Provide real-time situational awareness across IT, IoT, OT, medical devices (IoMT), and cloud environments.

     

4. Anomaly Detection

• Armis employs machine learning-based anomaly detection to uncover complex attack patterns that traditional signature-based methods might miss.

• The platform continuously monitors asset behavior and network traffic for deviations from established baselines.

   

5. Automation and Remediation

• AI automates processes such as vulnerability prioritization, ticketing workflows, and remediation actions.

• Predictive analytics are used to simulate potential attack scenarios, allowing organizations to proactively adjust their defenses.

   

6. Data Analysis with LLMs

• Armis uses large language models (LLMs) trained on its proprietary datasets to enable advanced contextual analysis. This allows users to:
  • Query global datasets alongside their own organizational data for insights.
  • Receive recommendations on impactful actions for mitigating risks.

Is Armis a web3 company?

No.

Are there any Web3 components?

No.