
Criminal IP's Attack Surface Management (ASM) is a cutting-edge platform driven by intelligence that seeks to constantly pinpoint, catalog, and supervise all internet-connected resources associated with an organization, including often ignored and shadow assets, thereby granting teams insight into their genuine external exposure as seen by potential attackers. This innovative solution combines automated asset identification with open-source intelligence (OSINT) techniques, enhancements via artificial intelligence, and advanced threat intelligence to uncover exposed hosts, domains, cloud services, IoT devices, and various other entry points on the internet, while also gathering evidence like screenshots and metadata, linking discoveries to known vulnerabilities and tactics used by attackers. By assessing exposures in terms of business significance and risk, ASM highlights vulnerable components and misconfigurations, delivering real-time alerts and interactive dashboards that streamline investigation and remediation processes. Moreover, this all-encompassing tool not only aids organizations in managing their security stance but also equips them to stay ahead of emerging threats by fostering a proactive security culture within their teams. Ultimately, the proactive management of attack surfaces can significantly enhance an organization's resilience against cyber risks.
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Aikido serves as an all-encompassing security solution for development teams, safeguarding their entire stack from the code stage to the cloud. By consolidating various code and cloud security scanners in a single interface, Aikido enhances efficiency and ease of use.
This platform boasts a robust suite of scanners, including static code analysis (SAST), dynamic application security testing (DAST), container image scanning, and infrastructure-as-code (IaC) scanning, ensuring comprehensive coverage for security needs.
Additionally, Aikido incorporates AI-driven auto-fixing capabilities that minimize manual intervention by automatically generating pull requests to address vulnerabilities and security concerns. Teams benefit from customizable alerts, real-time monitoring for vulnerabilities, and runtime protection features, making it easier to secure applications and infrastructure seamlessly while promoting a proactive security posture. Moreover, the platform's user-friendly design allows teams to implement security measures without disrupting their development workflows.
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Saner CVEM
SecPod Saner CVEM is a continuous vulnerability and exposure management platform that helps organizations identify, understand, prioritize, and remediate security risks from one prevention-focused workflow. The platform brings together vulnerability management, asset discovery, endpoint management, compliance management, patch management, posture anomaly detection, exposure analysis, and risk prioritization in a single console. Saner CVEM gives security teams a broader view of exposure by detecting not only CVEs, but also configuration drifts, posture anomalies, compliance gaps, shadow IT, unmanaged devices, and risky changes across hardware and software. Its AI-powered asset visibility helps organizations continuously discover managed and unmanaged assets, enrich inventories, and track changes across endpoints, servers, cloud services, and operating systems. Machine-learning anomaly detection monitors more than 100 device parameters to surface unusual processes, kernel changes, unauthorized scheduled tasks, and other deviations that traditional scanners may miss. The platform uses SSVC-aligned prioritization along with EPSS, CISA KEV, asset criticality, business context, MITRE ATT&CK mapping, and CWE mapping to help teams focus on risks that can cause real damage. Saner CVEM supports continuous SCAP and OVAL-based vulnerability scanning across multiple operating systems and more than 550 third-party applications. Its integrated remediation capabilities allow teams to move from detection to patch deployment without relying on disconnected tools or complex manual workflows. Organizations can use the platform to improve patch compliance, reduce known and unknown risks, strengthen audit readiness, and lower remediation backlogs.
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ZeroPath
ZeroPath is the AI-native SAST that finds vulnerabilities traditional tools miss. We built it because security shouldn't overwhelm developers with noise.
Unlike pattern-matching tools that flood you with false positives, ZeroPath understands your code's intent and business logic. We find authentication bypasses, IDORs, broken auth, race conditions, and business logic flaws that actually get exploited and missed by traditional SAST tools. We auto-generate patches and pull requests that match your project's style.
75% fewer false positives, 200k+ scans run per month, and ~120 hours saved per team per week. Over 750 organizations use ZeroPath as their new AI-native SAST.
Our research has uncovered critical vulnerabilities in widely-used projects like curl, sudo, OpenSSL, and Better Auth (CVE-2025-61928). These are the kinds of issues off-the-shelf scanners and manual reviews miss, especially in third-party dependencies.
ZeroPath is an all-in-solution for your AppSec teams:
1. AI-powered SAST
2. Software Composition Analysis with reachability analysis
3. Secrets detection and validation
4. Infrastructure as Code scanning
5. Automated PR reviews
6. Automated patch generation
and more...
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