Miggo launches rapid defence layer for active exploits. Wed, 29th Jul 2026 (Today) Miggo Security has launched a defence-in-depth mitigation product designed to close the gap between vulnerability disclosure and patch deployment, stopping active exploits within minutes. The product combines controls at the network edge with controls inside an application, allowing security teams to apply temporary protections while standard patching continues. It generates, tests and validates mitigation measures for a customer's specific exposure before deployment. The launch targets a long-standing problem in cybersecurity operations: attackers can often turn newly disclosed vulnerabilities into working exploits far faster than companies can install patches. Even when patches are available quickly, they typically still require action by IT and engineering teams, leaving systems exposed in the meantime. Miggo's approach focuses on the path an exploit takes through an application rather than relying only on a vulnerability identifier. In some cases, an attack can be blocked at the edge because it appears as a recognisable request pattern. In others, it must be intercepted inside the application because the malicious technique only becomes clear during execution. That distinction is central to the product's design. The system places mitigation controls according to the application context and how a flaw is reached, rather than applying the same response to every disclosed vulnerability. One element of the release is a tool called WAF Copilot, which works with an organisation's existing web application firewall. It analyses an exploit, generates a blocking rule, and tests variations of the attack to determine whether the rule holds up beyond a single proof-of-concept payload. Another element is the Miggo sensor, which operates inside the application. The sensor identifies exploit techniques as they execute, with inline blocking available in early preview, and can detect malicious execution in the affected flow without broadly shutting down legitimate activity. Recent example Miggo said it demonstrated the new mitigation model against a group of LiteLLM vulnerabilities disclosed within one week, including a privilege escalation flaw and a remote code execution flaw with the same severity rating. According to the company, the privilege escalation issue could be blocked at the edge because it followed a recognisable request pattern, while the code execution flaw had to be caught inside the application because a simple pattern-based block could be bypassed or remain incomplete. The company argued that this showed how two vulnerabilities in the same software component can require different mitigation methods depending on how the exploit works. Using both layers together can also help stop lower-impact flaws that might otherwise be chained into more serious attacks, it said. Miggo said the new product can reduce exposure windows by up to 99% and lower operational overhead by 30% or more by acting before patching is completed. Those figures were provided by the company. Daniel Shechter, Chief Executive Officer and Co-Founder of Miggo Security, described the release as an effort to move defensive action closer to the speed at which new exploits appear. "Defence-in-depth mitigation means machine-speed protection with no business interruption. For Miggo customers, it means independent yet coordinated layers of protection: one at the edge, one inside the application," said Daniel Shechter, Chief Executive Officer and Co-Founder of Miggo Security. Shechter said the company validates mitigations before deploying them into customer environments. "When a new exploit drops, we place the right mitigation in the right layer, on the exact path it runs, in minutes. We run tests in Miggo Labs to validate its efficacy and safety for the customer environment before it even touches their environment. That's the fastest, smartest way to mitigate whatever's coming at you," he said. Miggo operates in the market for application detection and response tools, which have drawn interest as organisations seek ways to secure traditional software, cloud-native services and AI-based applications against increasingly fast-moving threats. The company positions this release as a way to give security teams a temporary line of defence while patching and remediation follow their normal process.

Miggo adds SSVC scoring as CISA moves beyond CVSS-based vulnerability prioritization. June 17, 2026 Security teams are still buried in vulnerability lists built around CVSS scores. Those scores can show how serious a vulnerability could be, but they do not always show whether it is actually exposed inside a specific environment. For MSPs, MSSPs, and security teams, that gap creates a familiar problem: too many findings, too little context, and not enough clarity on what needs action first. Miggo Security has added native SSVC scoring to its platform as federal agencies prepare for a new way of prioritizing vulnerabilities. The update follows CISA's BOD 26-04 directive, which requires U.S. federal agencies to use Stakeholder-Specific Vulnerability Categorization, or SSVC, when deciding what to fix first. SSVC looks at whether a vulnerability is reachable, whether it is being exploited, what an attacker could do with it, and what the business impact could be. Miggo is tying the SSVC update to its runtime security approach. The company says its platform watches applications as they run, tracks traffic and code execution, and helps identify which vulnerabilities are active and reachable in production. Customers can now see SSVC outcomes alongside CVSS scores, with Miggo's runtime context used to show which issues are more likely to matter in their own environment. The company is also connecting prioritization with runtime protection. Miggo says its platform can help protect vulnerable applications while security and engineering teams work through patching. That is important for customers: knowing what to fix first is useful, but fixes still take time to test and deploy. Runtime mitigation gives teams a way to reduce exposure during that window while keeping vulnerability decisions closer to what is actually happening in production.

Miggo Security leverages AI to apply virtual patches in near real time. Miggo Security today launched a cybersecurity platform that employs artificial intelligence (AI) to not only track and assess cybersecurity threats but also apply tailored mitigations. Company CEO Daniel Shechter said Miggo Pulse makes it possible for cybersecurity teams to apply virtual patches at machine speed to reduce the chances adversaries will be able to exploit vulnerabilities before an actual patch can be developed, tested and deployed. The Miggo Plus platform, at its core, is based on a Predictive Vulnerability Database (PVD), a curated repository that continuously tracks new Common Vulnerabilities and Exposures (CVEs), exploit releases, known exploited vulnerabilities (KEV) updates, and active exploitation signals across the application ecosystem. Every vulnerability is enriched to provide root cause analysis, vulnerable function mapping, exploit intelligence, predicted attack mutations, and identification of emerging threats. In effect, disclosed and undisclosed vulnerabilities can be broken down into their underlying exploit primitives, attack chains, and conditions in a way that makes it possible to track evolving exploitation techniques as they mutate. DeepTracing sensors that Miggo has developed then automatically validate every vulnerability against your actual production environment. That approach validates that a vulnerable component is running, the code path is reachable from the internet, and which specific services are affected by cluster, namespace, and deployment. If an issue is detected, the Miggo Pulse platform will then leverage the threat intelligence it has collected to generate, test, and deploy targeted protections, combining customized web application firewall (WAF) rules at the perimeter with runtime blocking enabled by the application detection and response (ADR) capability enabled by an extended Berkeley Packet Filter (eBPF) sensor embedded in the platform. That integrated approach makes it possible to use a Miggo WAF Copilot to generate a production-ready WAF rule tailored to the specific vulnerability and environment that can be deployed with a single click. In the absence of that integrated platform, a cybersecurity team will need to stitch together vulnerability feeds, manual triage processes, environment correlation, and mitigation tools on their own, said Shechter. While the Miggo Pulse platform enables cybersecurity teams to apply a virtual patch in near real time, cybersecurity teams should still make sure that a patch is developed to remediate the issue altogether, he added. However, the Miggo Pulse does reduce the dependency that cybersecurity teams have on application developers who may not have the time needed to quickly develop and deploy a patch, he added. That issue can be especially problematic if the issue manifests itself in third-party open source code, where the maintainers of the project might not even have the expertise needed to remediate an issue, said Shechter. More challenging still, cybercriminals are clearly starting to make greater use of AI to discover and exploit both known and unknown vulnerabilities faster than ever, he added. Each cybersecurity team will need to determine for itself to what degree it needs to invest in threat intelligence, but as the National Institute of Standards and Technology (NIST) cut back on enriching CVE with additional data, there is a clear need for cybersecurity teams to determine the risk a vulnerability actually represents to their organizations. Otherwise, they will simply be overwhelmed, especially in the age of AI, by a never-ending series of alerts that, for the most part, are likely to become yet one more false positive alert that wastes precious time and limited resources.