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October 22, 2026
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This blog explores why, when choosing the right Attack Surface Management (ASM) solution, businesses should prioritize technical functionalities including real-time scanning, automated risk prioritization, deep asset enrichment, and threat intelligence integration.
Key Takeaways
- Global ransomware damage costs are projected to reach $74 billion in 2026 - a 30% increase from 2025.
- The average total cost of a ransomware attack is now $5.08 million, but the ransom payment itself accounts for only ~15% of that figure.
- The biggest cost drivers are operational downtime, system recovery, legal fees, regulatory fines, and lost business - not the ransom.
- Modern ransomware groups exfiltrate data before encrypting it, meaning paying the ransom or restoring from backup does not undo the breach.
- Organizations that take a preemptive approach - reducing attack surface exposure, monitoring the dark web for compromised credentials, and closing gaps before they are exploited - avoid the vast majority of these costs entirely.
- By the time ransomware executes, the damage is already done. The encryption is just the bill arriving.
What Is the Difference Between ASM and EASM?
ASM is the umbrella term for continuously discovering, assessing and managing the assets and exposures an attacker could use. EASM is the part of ASM that focuses on internet-facing assets, seen from the outside the way an attacker would see them.
When evaluating an ASM tool, these questions help to place it:
- Is the discovery outside-in or inside-out: Does the tool find assets the way an attacker would, or only list assets it is told about by connected systems?
- Does it find unknown assets: Shadow IT, forgotten subdomains and third-party hosted assets, or only known ones?
- Does it go beyond discovery: Validation, threat intelligence and prioritization turn an inventory into an action list.
Searchlight Cyber's ASM continuously maps the external attack surface and feeds it into its broader Preemptive Threat Exposure Management approach.
How does ASM protect digital assets?
While the move to the cloud has made organizations more efficient and streamlined, an increased digital footprint opens them up to significant cybersecurity risks they may not know about.
With an increased digital footprint comes a complex attack surface that is ripe for threat actors to exploit. An organization’s attack surface is made upof applications, websites, networks, devices, and cloud infrastructure, all of which are being spun up and changing across the businesses every day. Across large, complex IT environments and third-party software, vulnerabilities are inevitable, and unless they are being continuously tracked and rapidly remediated, cybercriminals will have the opportunity to exploit them.
Attack Surface Management (ASM) helps to reduce the risks posed by these vulnerabilities by verifying exposures across an organization. ASM tools provide security teams with the cybercriminal’s perspective, the visibility needed to ensure all potential entry points are secure, and a complete up-to-date inventory of all assets, including those that may not even be known to the organization.
These ASM tools are essential because;for every unmonitored device, misconfigured cloud instance, or forgotten web application, organizations risk data breaches, operational disruptions, and regulatory non-compliance.
Organizations that actively monitor and manage their attack surface can:
- Quickly identify and mitigate vulnerabilities before they are exploited.
- Significantly reduce the risk of cyberattacks by limiting exposure of their infrastructure to cybercriminals.
- Improve compliance with security regulations by securing all of their assets.
What are the key risks of an unmanaged attack surface?
Unmanaged attack surfaces pose significant risks to organizations, especially as threat actors are exploiting vulnerabilities faster than ever. Recent research from IBM showed a 44% increase in cyber-attacks exploiting public-facing applications, with AI-enabled vulnerability scanning cited as a major driver behind the spike. The lack of visibility into potential entry points for cybercriminals not only makes it easier for attackers to compromise sensitive data without detection, but makes incident response and remediation a lot harder.
Examples of unmanaged attack surfaces and their risks:
Shadow IT and lack of visibility
Shadow IT can come in the form of personal devices being connected to an organization’s network, data being stored in personal cloud accounts or off the network, or apps and software that have been downloaded without prior approval or knowledge by IT.
The risk of shadow IT is that without knowledge of these devices or software, IT and cyber security teams are unable to patch vulnerabilities, ensure they are correctly configured, and track incoming and outgoing dark web traffic. This could result in cyberattacks and exfiltration of data to the dark web without an organization knowing anything about it.
Poor patch management
If software isn’t kept up to date or patched properly the risk of malware infections, ransomware attacks, unauthorized access, and potential loss of sensitive information increases. Cybercriminals can easily discover unpatched software because many vulnerabilities are publicly documented. This makes unpatched systems prime targets for exploitation.
Unsecured cloud environments
Businesses are frequently moving workloads and systems to the cloud and while it brings a whole host of benefits, it also opens organizations up to cyberattacks, especially if their cloud environment is improperly secured. Security teams must ensure that cloud environments have robust security solutions in place, such as encryption, firewalls, and intrusion detection systems, to protect data stored in the cloud. If proper configuration doesn’t happen or there aren’t strong authentication mechanisms in place the likelihood of an attack increases.
Third-party vendor risks
As well as identifying and managing their own assets, organizations need to be aware of threats from third-parties such as suppliers and vendors. The threat from a supply chain is directly linked to the number of suppliers, which increases the number of potential attack entry points. A third-party attack can be a goldmine for cybercriminals, resulting in threat actors harvesting a lot of data, which will then go on to be sold or traded on dark web marketplaces.
All of these risks can be proactively managed and mitigated by organizations using ASM tools. Continuous monitoring and discovery of a business’s external assets will identify cloud services, third-party tools, and shadow IT at risk of exploitation, plus flag where a breach may have already happened and data has been exfiltrated to the dark web. All of this gives security teams the power to focus on what matters most, respond faster, and reduce the risk of an attack.
What are the most important features of ASM software?
For a business looking to manage, protect, and mitigate the risk of cyberattacks, what should they be looking for in best practice ASM tools?
Real time scanning and continuous asset discovery
At the pace at which criminals are exploiting vulnerabilities, often within hours, ASM tools that scan daily for new assets can leave a business's attack surface exposed between a vulnerability’s introduction and its detection. With hourly scanning, security teams can close that gap, mitigating exposures faster than attacks can exploit them. This cadence is also better suited to the modern reality of organizations’ infrastructure, which is constantly in flux.
Automated exposure prioritization
Not all exposures are equal, and the wrong ASM tool can leave teams drowning in alerts and noise from low-priority exposures. The best ASM tools should not only detect but also help security teams prioritize imminently exploitable vulnerabilities that are at real risk. Exposure prioritization means security teams can focus on the highest-priority threats first and stop large scale cyberattacks, while managing their resources better and preventing alert fatigue.
Deep asset enrichment
The best ASM tools don’t just provide organizations with a table of assets. Businesses should look for tools that help them to understand exactly what technology is running and see how it changes over time. ASM should also identify versions so security teams can quickly find vulnerable dependencies and make quick decisions. It’s also important that ASM tools keep a detailed record of what has changed over time to better contextualize and give teams understanding of incidents as they occur.
Threat intelligence integration
ASM and threat intelligence can work together to provide a more comprehensive view of potential threats to a business. While ASM focuses on identifying vulnerabilities and exposures within an organization’s public-facing digital assets, threat intelligence informs an organization on the cybercriminals out there that might be looking to exploit those vulnerabilities - further helping them to prioritize their security based on the most likely threats. By integrating Extended Attack Surface Management(EASM) tools and threat intelligence, businesses can get a complete view of their own unique threat landscape, ultimately expanding their defensive radar and gaining the opportunity to disrupt threats before attacks are launched.
How Do You Measure the Success of an ASM Solution?
Time is the golden unit of measurement for a successful ASM program. The faster your team can mitigate risks, the lower the chance of a cyber incident impacting your business’s bottom line e.g., system downtime, data loss, regulatory fines, or even reputational damage. Plus, every minute spent on manual processes or dealing with unverified alerts is time taken away from proactive security measures. To build a strong business case for focusing on ASM, focus on data-driven approaches that can be used to demonstrate improvements over the status quo. This should include:
Coverage of asset discovery:
The percentage of internet-facing assets being actively monitored. If discovery lags behind business operations, security teams risk missing critical exposures. Better the devil you know! Increasing asset discovery coverage through investment in continuous discovery tools reduces the risk of blind spots and undetected vulnerabilities that could be entry points for would-be attackers.
Mean time of exposure (MTE):
The duration between an exposure appearing in the attack surface and security teams detecting it. A shorter MTE reduces attacker dwell time. If your existing ASM tool scans daily rather than hourly, exposures can go undetected for nearly a whole day. Switching to an ASM tool that scans hourly could drastically reduce your MTE time.
Mean time to remediation (MTTR):
A vulnerability remains a risk until it’s addressed. Tracking how long it takes security teams to remediate confirmed exposures helps identify bottlenecks in workflows. From an attacker’s perspective, even a few hours is enough time to exploit a known vulnerability. Providing security teams with pre-validated PoCs or automated remediation guidance can significantly reduce their exposure time and the risk of potential damage.
Before implementing ASM, establish a baseline for these metrics. This will allow you to clearly measure and demonstrate the improvement after implementation.
In practical terms, a proactive approach to ASM is invaluable across the cybersecurity color spectrum. For red teams, surfacing unknown assets and exposures can significantly enhance pen tests. For blue teams, ASM can replace and enhance how assets are inventoried and managed at scale. Purple teams, SecDevOps, and CI/CD security gain a shorter round-trip time for fixing security defects. This delivers monetary and time-saving benefits for an organization. By proactively identifying and remediating unknown entry points, you prevent costly breaches from happening and can even cut bug bounty spend.
By implementing an effective ASM program, you can act faster than attackers, level up your security posture, and demonstrate a clear return on investment to stakeholders.
How to choose the right ASM solution
When choosing the right ASM tool, not only do businesses need to consider the functionalities of the tool, they also need to make sure it fits with the way their business works. When evaluating ASM offerings, organizations should consider:
Scalability
Businesses should factor in the potential growth of their organization when looking for an ASM tool, and select the one that can scale with them as their digital footprint expands.
Integration
An organization's chosen ASM tool should seamlessly integrate with existing security tools like vulnerability scanners, ticketing systems, and incident response platforms. There is no use selecting a tool then having to create workarounds for different platforms to talk to each other.
Cost
While cost is an important factor when choosing an ASM tool, organizations should also consider the cost of not having the right ASM tool. These considerations should include the cost of a cyberattack, ransomware demands, legal requirements that may be needed, and even compensation for any customers that may be affected by an attack. Only after adding all of these costs up can a business weigh up whether an ASM tool is right for them.
How ASM Helps Reduce Attack Surface Risk
Using ASM tools, organizations can see the attackers’ perspective and act on threats quicker than they can be exploited. With hourly scans, every asset is mapped and enriched ensuring nothing is missed. While traditional security focuses on detecting and responding to attacks after they occur, businesses must move to a preemptive approach that leaves no room for compromise and maintains uninterrupted operations. With cybercriminals probing for vulnerabilities 24/7 and accelerating their operations with AI, preempive threat exposure management, built on best-of-breed ASM capabilities, helps organizations create a more resilient posture against threats.
BOOK A DEMO today to learn more about ASM and take control of your attack surface.
Attack surface management is the continuous process of discovering, inventorying, assessing and prioritizing the assets and exposures that attackers could use to reach an organization, viewed from the attacker's perspective. It includes assets the organization doesn't know about, such as shadow IT, forgotten subdomains and misconfigured cloud resources.
Attack surfaces change constantly as teams adopt cloud services, deploy new code and connect third parties, and attackers can find and exploit new exposures quickly. An organization can't protect what it doesn't know it has, so unmanaged assets become entry points for data breaches, disruption and compliance failures. Continuous management finds and fixes exposures before attackers use them.
Attack Surface Management focuses on what an attacker can reach, because reachability decides which weaknesses can be attacked first. The external attack surface is everything reachable from the internet, such as domains, subdomains, IP addresses, web applications, APIs, cloud services, exposed ports, and third party hosted assets. The internal attack surface is what sits inside the network, which an attacker can reach only after getting a foothold or which an insider can access. Attacks often begin on the external surface and then move inward, so closing the reachable entry points first limits what an attacker can get to.
Attack surface management provides the visibility that other security activities depend on. Its findings feed vulnerability management, threat intelligence, the SOC and incident response, and it underpins exposure management frameworks such as CTEM. It also supports risk management, compliance, third-party risk and mergers and acquisitions, and it is a foundation for a preemptive approach that reduces exposure before attackers act.
It finds unknown and exposed assets, misconfigurations and vulnerable software versions before attackers do, helps teams prioritize the exposures that are exploitable, and speeds up and verifies remediation. Combined with threat intelligence, it also shows which exposures attackers are targeting. It doesn't replace other controls such as multi-factor authentication, endpoint protection, detection and response, so it works best as part of a layered defense.
