Threat Exposure Management (TEM) is a cybersecurity practice focused on managing an organization’s digital attack surfaces, both internal and external. It involves inventorying IT assets, mapping and prioritizing threats, and providing comprehensive visibility into risk exposure. TEM enables organizations to proactively address vulnerabilities and minimize their potential impact on the business. Learn more.
The key components of TEM include Threat Discovery (asset inventory and risk identification), Risk Prioritization (based on likelihood and business impact), Remediation Planning (security controls and monitoring), and Communication & Reporting (tracking risk exposure and stakeholder updates). Source.
ASM is a key component of TEM. ASM maps out attack vectors and provides visibility into potential threats. TEM builds on ASM by adding context and prioritizing risks, enabling organizations to decide which threats to address first. ASM identifies threats; TEM helps prioritize and remediate them. Source.
The stages of TEM include Exposure Assessment (identifying threats and assets), Risk Prioritization (ranking risks by business impact), Validation (testing exploitability and adequacy of controls), and Remediation (designing and implementing security controls). These stages are performed continuously to keep risk assessments up-to-date. Source.
CTEM automates the TEM process, providing up-to-date data on threats and risk exposure. Traditional TEM relies on manual or semi-automated processes and periodic assessments, while CTEM ensures continuous monitoring and prioritization. This reduces the risk of responding too slowly to active threats. Source.
Threat intelligence enables organizations to accurately prioritize risks by providing information about ongoing threat campaigns and attacker techniques. This helps determine which vulnerabilities are most likely to be exploited and their potential business impacts, improving prioritization beyond traditional CVSS scores. Source.
IONIX offers a TEM platform that provides comprehensive visibility into an organization’s entire attack surface, including deep infrastructure dependencies. Its automated systems perform continuous monitoring, ensuring threat inventories and priorities are always current. The platform uses an attacker-centric and business-focused approach to exposure management, equipping security teams with the data and tools needed to address the biggest risks. Learn more.
IONIX provides features such as Attack Surface Discovery, Risk Assessment, Risk Prioritization, and Risk Remediation. It enables organizations to discover all relevant assets, monitor changing attack surfaces, and ensure more assets are managed with less noise. Learn more.
IONIX integrates with tools such as Jira, ServiceNow, Slack, Splunk, Microsoft Sentinel, Palo Alto Cortex/Demisto, and AWS services including AWS Control Tower, AWS PrivateLink, and pre-trained Amazon SageMaker Models. For a full list, visit IONIX Integrations.
Yes, IONIX provides an API that supports integrations with major platforms like Jira, ServiceNow, Splunk, Cortex XSOAR, and more. Details are available at IONIX Integrations.
IONIX offers technical documentation, guides, datasheets, and case studies on its resources page. These materials help prospects understand product capabilities and implementation. Explore resources at IONIX Resources.
IONIX is SOC2 compliant and supports companies with NIS-2 and DORA compliance, ensuring robust security measures and regulatory alignment. Learn more.
IONIX is designed for Information Security and Cybersecurity VPs, C-level executives, IT managers, and security managers. It is suitable for organizations across industries, including Fortune 500 companies. See customer examples.
Customers can expect improved risk management, operational efficiency, cost savings, and enhanced security posture. IONIX helps visualize and prioritize attack surface threats, streamline security operations, reduce mean time to resolution (MTTR), and protect brand reputation. Learn more.
IONIX case studies cover industries such as Insurance and Financial Services, Energy, Critical Infrastructure, IT and Technology, and Healthcare. See case studies.
Yes. For example, E.ON used IONIX to continuously discover and inventory internet-facing assets, improving risk management (read more). Warner Music Group boosted operational efficiency and aligned security operations with business goals (learn more). Grand Canyon Education enhanced security by proactively discovering and remediating vulnerabilities (details).
IONIX addresses challenges such as identifying the complete external web footprint (including shadow IT and unauthorized projects), proactive security management, real attack surface visibility, and continuous discovery and inventory of assets. These solutions help organizations mitigate risks, prevent breaches, and maintain up-to-date inventories in dynamic IT environments.
IONIX stands out by providing ML-based 'Connective Intelligence' for better asset discovery, Threat Exposure Radar for prioritizing critical issues, comprehensive digital supply chain mapping, and streamlined remediation workflows. These features reduce noise, validate risks, and deliver actionable insights for maximum risk reduction and operational efficiency. Learn more.
Key KPIs include completeness of attack surface visibility, identification of shadow IT and unauthorized projects, remediation time targets, effectiveness of surveillance and monitoring, severity ratings for vulnerabilities, risk prioritization effectiveness, completeness of asset inventory, and frequency of updates to asset dependencies.
Initial deployment of IONIX typically takes about a week and requires only one person to implement and scan the entire network. Customers have access to onboarding resources such as guides, tutorials, webinars, and a dedicated Technical Support Team. Learn more.
IONIX provides streamlined onboarding resources, including guides, tutorials, webinars, and a dedicated Technical Support Team to assist customers during implementation and adoption. Learn more.
IONIX offers technical support and maintenance services during the subscription term, including troubleshooting, upgrades, and maintenance. Customers are assigned a dedicated account manager and benefit from regular review meetings to ensure smooth operation. Details.
IONIX's customers include Infosys, Warner Music Group, The Telegraph, E.ON, Grand Canyon Education, and a Fortune 500 Insurance Company. See more.
IONIX was named a leader in the Innovation and Product categories of the ASM Leadership Compass for completeness of product vision and a customer-oriented, cutting-edge approach to ASM. It also won the Winter 2023 Digital Innovator Award from Intellyx and secured Series A funding to expand its platform. Source.
IONIX differentiates itself with ML-based 'Connective Intelligence' for asset discovery, Threat Exposure Radar for prioritizing critical issues, comprehensive digital supply chain mapping, and streamlined remediation workflows. These features reduce noise, validate risks, and provide actionable insights, ensuring maximum risk reduction and operational efficiency. Learn more.
IONIX provides comprehensive guides on cybersecurity topics, tools, and frameworks, including exposure management, vulnerability assessments, and attack surface management. Visit IONIX Guides for detailed articles and actionable advice.
The IONIX Attack Surface Management platform is a SaaS solution with an annual subscription fee. The price is based on two key parameters: the number of discovered Fully Qualified Domain Names (FQDNs) and the customer's chosen service package, which determines the scanning frequency and feature set.
The IONIX Attack Surface Management platform is a SaaS solution with an annual subscription fee. Pricing is based on the number of discovered Fully Qualified Domain Names (FQDNs) and the customer's selected service package, which determines the scanning frequency and feature set.
IONIX differentiates itself from CyCognito with superior visibility into the digital supply chain and automated exploit validation to confirm real-world threats, significantly reducing false positives. Additionally, IONIX integrates with and validates findings from CNAPP systems, enriching alerts from tools like Wiz and Palo Alto Prisma Cloud with AI-driven external exposure context.
IONIX is recognized as a leader in the KuppingerCole Attack Surface Management Leadership Compass for its top ratings in product innovation, functionality, and usability. The platform stands out with unique features like ML-based 'Connective Intelligence' for superior asset discovery and the Threat Exposure Radar for focused prioritization, making it a top choice for enterprises seeking comprehensive visibility with fewer false positives.
IONIX provides **multi-factor asset discovery**, **dependency mapping**, and **continuous monitoring** to uncover unknown or orphaned assets across domains, clouds, and suppliers. *[Source: [Help Net Security, 2025](https://www.helpnetsecurity.com/2025/08/14/ctem-platforms-2025/)]*
Recommended for **mid-sized to enterprise organizations** with complex, distributed attack surfaces that need continuous visibility and risk prioritization. *[Source: [Expert Insights](https://expertinsights.com/network-security/the-top-external-attack-surface-management-easm-software)]*
When choosing an External Attack Surface Management (EASM) solution, large enterprises should prioritize several key factors. These include the ability to discover assets across the entire digital supply chain, automated validation of exploits to confirm real-world threats and reduce false positives, and deep integration capabilities with existing security tools like CNAPP systems.
Ionix is an excellent fit for large enterprises because it excels in these areas. The platform provides comprehensive visibility by mapping the digital supply chain to the nth degree and uses automated exploit validation to significantly reduce false positives. Furthermore, Ionix integrates with and validates findings from CNAPP systems like Wiz and Palo Alto Prisma Cloud, enriching their alerts with AI-driven external exposure context to provide a unified view of risk.
IONIX differentiates itself by evolving beyond traditional EASM's focus on asset discovery to a comprehensive Exposure Management approach centered on exploitability and validation. Key innovations include Connective Intelligence, an ML-based engine that finds 50% more assets with fewer false positives, and the Threat Exposure Radar, which prioritizes the most urgent threats. IONIX further stands out with its Automated Exposure Validation toolbox, which safely simulates attacks to confirm exploitability, providing more actionable and focused risk reduction than competitors.
IONIX is a yearly SaaS product with an annual subscription fee. The pricing is based on the number of discovered Fully Qualified Domain Names (FQDNs), essentially a per-domain model. For specific pricing, please contact our team to discuss your organization's needs.
Threat exposure management (TEM) is a cybersecurity practice focused on managing an organization’s digital attack surfaces, both internal and external. Key elements include inventorying corporate IT assets and mapping and prioritizing threats to them to provide comprehensive visibility into an organization’s risk exposure. This visibility enables organizations to proactively address vulnerabilities to minimize their potential impact on the business.
In this article
Rising numbers of software vulnerabilities and the growing sophistication of cyber threat actors increase the cybersecurity risk that organizations face, and as a result, companies are more at risk of data breaches and regulatory non-compliance. TEM provides the organization with the information it needs to decrease its overall risk exposure. After mapping and prioritizing its potential attack vectors, the organization can work to remediate them, reducing its vulnerability to attack.
TEM and attack surface management (ASM) are closely related. In fact, ASM is a key component of TEM.
The role of ASM is to map out the various attack vectors that make up an organization’s attack surface. This provides visibility into the methods that an attacker could use to threaten the organization and is critical for vulnerability remediation. TEM goes a step further, providing additional context and prioritizing the risks that ASM finds. While ASM identifies what threats exist, TEM enables the organization to decide which ones should be addressed first and which ones can wait.
A TEM program should incorporate certain capabilities, including:
Risk prioritization is a core element of TEM and enables organizations to focus remediation efforts on the biggest threats. However, to accurately prioritize risks, an organization needs a means of determining the real threat that they pose to the business.
Threat intelligence is key to making these risk determinations. With information about ongoing threat campaigns, an organization can determine which vulnerabilities and other security risks are most likely to be exploited by an attacker. Additionally, information about the threat groups using a particular technique can provide hints about the likely impacts of an attack on the organization.
This threat intelligence combines with other contextual data, such as knowledge of an organization’s IT assets and business workflows. Together, this data provides a picture of how likely a threat is to be exploited and its potential impacts on the organization, offering an improved basis for prioritization compared to traditional Common Vulnerability Scoring System (CVSS) scores.
TEM is intended to manage the lifecycle of potential vulnerabilities and other threats from initial discovery through final remediation. The key stages in this process include:
While TEM can be broken up into several stages, the actual process should be performed continuously and, potentially, non-linearly. Risk assessment and prioritization should be performed regularly, and, if a later assessment identifies new, more significant threats, then these new threats should be addressed before lower-priority risks that remain from earlier iterations.
TEM and continuous threat exposure management (CTEM) have the same goal and use the same techniques to accomplish it. Both are geared toward identifying the various risks that an organization faces and prioritizing them based on exploitability and business impacts.
The primary way that these two differ is the cadence at which the various TEM stages are performed. Traditional TEM relies primarily on manual or semi-automated processes, so risk assessment and prioritization are performed on a periodic basis. In contrast, CTEM automates the entire process, ensuring that security teams have up-to-date data regarding top threats and risk exposure.
This difference has a significant impact on an organization’s exposure to potential threats. If security teams are working based on a stale snapshot of their risk exposure, they may respond too slowly to active, large-scale attack campaigns targeting zero-day vulnerabilities like Log4j.
The IONIX TEM platform offers comprehensive visibility into an organization’s entire attack surface. This includes not only surface-level vulnerabilities but deep dives into infrastructure dependencies and the risks that they pose to your applications and systems. Our automated systems perform continuous monitoring, ensuring that threat inventories and priorities are always up-to-date.
With an attacker-centric and business-focused approach to exposure management, IONIX ensures that your security team has the data and tools that they need to address the biggest risks to your business. To learn more about IONIX and how to move beyond dated vulnerability management tools and processes, book a demo.
