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October 22, 2026
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In this blog we discuss why periodic scanning can leave your digital assets exposed and how continuous asset discovery closes the window of exposure.
How Continuous Asset Discovery Eliminates Security Blind Spots
Attack surfaces shift daily. Business decisions, cloud migrations, and third-party integrations generate new assets - many of which security teams don’t even know exist. Shadow IT, forgotten subdomains, and ephemeral cloud resources create openings that attackers are eager to exploit. The traditional approach - scanning periodically - leaves too much room for error. By the time an organization identifies an exposed asset, it may already be compromised.
The answer isn’t scanning more often - it’s eliminating the blind spots altogether. Continuous asset discovery ensures security teams maintain full visibility, mapping out every external-facing asset in real-time and detecting vulnerabilities before they become a problem. Without it, organizations are playing a dangerous game of catch-up.
Why Modern Attack Surfaces Require Continuous Asset Discovery
Gone are the days when an organization’s attack surface consisted of a fixed set of on-premise servers and known assets. Today, modern infrastructures are in constant motion:
- Shadow IT flourishes as employees and teams deploy SaaS applications, cloud services, and third-party integrations outside security’s oversight.
- Cloud environments are fluid, with assets spun up and taken down in response to demand, often leaving misconfigured resources exposed.
- Development cycles move faster than ever, with CI/CD pipelines pushing new code and infrastructure updates multiple times a day.
These factors make traditional asset management ineffective. Periodic discovery methods fail to capture the rate of change, leaving organizations exposed for hours, days, or even months before security is alerted to a new risk. Attackers, however, aren’t waiting. They continuously scan for newly exposed assets, making real-time discovery a necessity.
Why Periodic Discovery Fails
Scheduled scans operate on assumptions that no longer hold up:
- Static vs. Dynamic Environments – Traditional methods assume environments don’t change significantly between scans. That’s no longer true. A resource can be created and exposed in minutes, long before the next scheduled scan catches it.
- Missed Ephemeral Assets – Some assets exist only for a short period. If a scan doesn’t run during that window, the asset remains undocumented—and potentially vulnerable.
- Gaps Between Scans – Even daily scanning means a 24-hour window where a critical exposure could be exploited before it’s detected. Attackers operate at attacker speed; security needs to match that pace.
These shortcomings have led to breaches that could have been avoided. Misconfigured cloud storage, forgotten subdomains, and orphaned applications have been entry points in some of the most high-profile cyberattacks in recent years.
How Continuous Asset Discovery Closes Visibility Gaps
A continuous approach to asset discovery transforms how organizations defend their external perimeter. Unlike static inventory methods, continuous discovery provides:
- Real-time visibility into external assets, including shadow IT and third-party dependencies.
- Automated correlation and attribution, ensuring that discovered assets are mapped back to the organization.
- Ongoing enrichment, with metadata providing full context on technologies, configurations, and risk levels.
By continuously mapping the attack surface, security teams can move from reactive response to proactive defense. Instead of discovering exposures after attackers have already found them, organizations can identify and address vulnerabilities as soon as they appear.
Real-World Risks of Blind Spots
Security incidents often originate from assets organizations didn’t even realize were exposed. In recent years, organizations have faced significant cybersecurity incidents stemming from previously unknown or unmonitored assets. These blind spots in security perimeters have been exploited by attackers, leading to substantial data breaches and operational disruptions.
Consider:
Chinese Hackers Infiltrate U.S. Telecom Networks (2023-2024)
A hacking group known as Salt Typhoon, linked to Chinese intelligence, infiltrated a U.S. telecommunications network undetected for 18 months, collecting data on over 1 million individuals. The breach, which began in mid-2023, targeted major providers like Verizon and AT&T, compromising sensitive information of high-profile figures and ordinary citizens alike. This incident underscores the critical need for continuous monitoring and asset discovery to identify and secure vulnerable points within expansive networks.
Krispy Kreme's Business Operations Disrupted by Cyberattack (2024)
In November 2024, Krispy Kreme Inc. experienced a cyberattack that significantly impacted its business operations, particularly online ordering systems in various U.S. regions. While physical stores remained operational, the disruption to digital sales channels highlighted vulnerabilities in the company's IT infrastructure. The financial repercussions were notable, with the company's stock declining by 2% following the announcement. This event emphasizes the importance of comprehensive asset visibility and security measures to protect both customer-facing and internal systems.
Emergence of the Rhysida Ransomware Group (2023-2024)
The Rhysida ransomware group has been active since 2023, targeting large organizations across various sectors, including healthcare and government institutions. Notable incidents include attacks on the British Library and the Chilean Army, where sensitive data was encrypted and held for ransom. The group's ability to exploit unmonitored assets and deploy ransomware underscores the necessity for continuous asset discovery and real-time vulnerability management to preempt such threats.
Each of these breaches was preventable. They highlight the fundamental problem: security teams can't protect what they can’t see.
How Continuous Asset Discovery Works in Practice
Continuous discovery integrates multiple advanced techniques to provide organizations with real-time security intelligence. It combines passive and active scanning methods to identify assets across various digital footprints, including domain registrations, DNS records, SSL certificates, and cloud API integrations.
Unlike traditional security approaches, which rely on scheduled scans, continuous discovery operates on an ongoing basis, detecting new exposures as soon as they appear. Assets are enriched with metadata that provides full context, such as port details, technology fingerprints, and geolocation information.
With automated alerts, security teams receive immediate notifications when assets change, ensuring they can respond quickly to new risks. This proactive approach allows organizations to keep pace with evolving attack surfaces and prevents security gaps from emerging in the first place.
What Is the Difference Between Asset Discovery and Vulnerability Assessment?
Asset discovery finds out what exists and where it is. Vulnerability assessment finds out whether those assets have weaknesses that attackers could exploit. Discovery comes first, because you can't assess an asset you don't know about.
The two are complementary. Assessing only known assets leaves forgotten subdomains, shadow IT and short-lived cloud resources unchecked, while discovery without assessment gives a list of assets and no sense of which ones put the organization at risk. In a continuous approach, both run constantly, so that a new asset is found and checked soon after it appears.
How to Turn Asset Discovery Into Security Action
Simply knowing an asset exists is not enough - security teams must be equipped to act on that information. Continuous discovery enables immediate, efficient remediation by prioritizing vulnerabilities based on their exploitability. Rather than wasting time on low-risk issues, security teams can focus on threats that pose the greatest danger to the organization.
By seamlessly integrating with remediation workflows, continuous discovery feeds directly into security orchestration platforms, ticketing systems, and automated response tools. This ensures that exposures are not just identified but actively addressed.
Continuous validation further strengthens security posture. Once an exposure is remediated, ongoing scanning ensures it remains resolved, preventing misconfigurations or policy drift from reintroducing risk. With this level of automation, organizations can maintain a consistently secure environment without relying on manual oversight.
The Future of Asset Discovery
Organizations can no longer afford to treat asset management as a periodic task. Attackers aren’t waiting for security teams to catch up. They are scanning for misconfigurations, abandoned assets, and exposed systems in real time. To keep up, security strategies must evolve.
Continuous asset discovery is more than just an upgrade - it’s a fundamental shift in how organizations approach external security. It eliminates security blind spots, reduces the window of exposure, and ensures that security teams always have an accurate, up-to-date view of their attack surface. Anything less leaves too much to chance.
Bio
Michael Gianarakis has worked in the security industry for over a decade building and managing offensive security teams across the Asia Pacific and Japan. In 2018 he co-founded the Attack Surface Management company Assetnote, which was acquired by Searchlight Cyber in 2025. Michael is now SVP of ASM at Searchlight. Michael has presented his security research around the world including at DEF CON, Black Hat Asia, BSides, Las Vegas, Hack in the Box, AusCert, Thotcon, 44Con and OWASP.
Continuous asset discovery is the ongoing, automated process of finding and mapping an organization's external-facing assets, such as domains, subdomains, IP addresses, cloud resources and applications, as they appear and change. It includes assets that security teams don't know about, like shadow IT and forgotten or short-lived resources. The result is a live inventory that is kept up to date, rather than a snapshot.
Periodic scanning checks the environment at set intervals, such as monthly, weekly or daily, and assumes that nothing important changes between scans. In modern environments that assumption doesn't hold: a resource can be created and exposed in minutes, short-lived assets can come and go between scans, and even a daily scan leaves a window of up to 24 hours. Continuous discovery runs constantly and detects changes as they happen, so exposures are found and reported close to when they appear.
Common causes include:
- Shadow IT: teams adopting SaaS applications, cloud services and integrations without security's oversight.
- Cloud sprawl: resources that are created and removed quickly, sometimes left misconfigured or exposed.
- Fast development cycles: CI/CD pipelines that push new code and infrastructure many times a day.
- Decentralized ownership: multiple teams, subsidiaries and cloud providers that can all create assets.
- Forgotten assets: old subdomains, test environments and orphaned applications that nobody maintains.
- Third-party dependencies: suppliers and integrations that extend the attack surface beyond what the organization controls.
Continuous asset discovery combines passive and active methods. Passive techniques draw on public and third-party data such as DNS records, domain registrations, SSL certificates and internet-wide scan data. Active techniques probe the environment directly, for example by scanning ports, fingerprinting services and technologies, and enumerating subdomains. Integrations with cloud provider APIs help find resources in cloud accounts. Discovered assets are then correlated back to the organization and enriched with metadata such as open ports, technologies and location, and the process repeats continuously.
Continuous asset discovery can reduce the chance of breaches that start from unknown or unmanaged internet-facing assets, because it finds those assets and their exposures before attackers do. It can't guarantee that a breach will be prevented, since many incidents begin in other ways, such as phishing, stolen credentials or flaws in systems that are already known. In one Searchlight Cyber customer example, an insurance company with multiple subsidiaries and cloud providers used attack surface management to find an unauthorized asset that exposed sensitive information and could have given an external party full control of the resource, and expanded its monitoring from 2,000 to more than 10,000 assets.
