
NINJIO is an all-in-one cybersecurity awareness training solution that lowers human-based cybersecurity risk through engaging training, personalized testing, and insightful reporting. This multi-pronged approach to training focuses on the latest attack vectors to build employee knowledge and the behavioral science behind human engineering to sharpen users’ intuition. Our proprietary NINJIO Risk Algorithm™ identifies users’ social engineering vulnerabilities based on phishing simulation data and informs content delivery to provide a personalized experience that changes individual behavior.
With NINJIO you get:
- NINJIO AWARE attack vector-based training that engages viewers with Hollywood style, micro learning episodes based on real hacks.
- NINJIO PHISH3D simulated phishing identifies the specific social engineering tricks most likely to fool users in your organization.
- NINJIO SENSE is our new behavioral science-based training course that shows employees what it “feels like” when hackers are trying to manipulate them.
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SOCRadar Extended Threat Intelligence is a holistic platform designed from the ground up to proactively detect and assess cyber threats, providing actionable insights with contextual relevance. Organizations increasingly require enhanced visibility into their publicly accessible assets and the vulnerabilities associated with them. Relying solely on External Attack Surface Management (EASM) solutions is inadequate for mitigating cyber risks; instead, these technologies should form part of a comprehensive enterprise vulnerability management framework. Companies are actively pursuing protection for their digital assets in every potential exposure area. The conventional focus on social media and the dark web no longer suffices, as threat actors continuously expand their methods of attack. Therefore, effective monitoring across diverse environments, including cloud storage and the dark web, is essential for empowering security teams. Additionally, for a thorough approach to Digital Risk Protection, it is crucial to incorporate services such as site takedown and automated remediation. This multifaceted strategy ensures that organizations remain resilient against the evolving landscape of cyber threats.
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SpaceCREST
Utilize SpaceCREST’s digital twin to swiftly pinpoint and assess vulnerabilities, enhance cyber resilience, and safeguard your physical assets against threats that may jeopardize their functionality. The collaboration between SpaceCREST and Redwire has led to the creation of advanced tools and technologies designed to facilitate vulnerability research on hardware components, allowing for the identification of potential weaknesses that could affect system integrity. Additionally, these resources offer actionable methods and strategies for mitigating and protecting against the vulnerabilities discovered. BigBear.ai can seamlessly incorporate your devices into a robust evaluation and security testing framework, enabling a comprehensive assessment of vulnerabilities and the identification of cybersecurity requirements. Furthermore, SpaceCREST’s digital twin equips operators with essential tools for conducting vulnerability research, enabling them to promptly detect when an attack or system failure occurs. This platform ensures ongoing monitoring and situational awareness of assets, empowering users to leverage digital twins for immediate responses to early warning signals. In this way, organizations can enhance their overall security posture and ensure greater protection against evolving threats.
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Saner CVEM
SecPod Saner CVEM is a unified vulnerability and exposure management platform built to help security teams continuously detect, prioritize, and fix risks across their IT environment. The platform combines asset intelligence, vulnerability management, compliance checks, posture anomaly detection, endpoint management, patch management, and remediation workflows in a single console. Saner CVEM is designed to go beyond CVE-based scanning by identifying configuration drift, posture anomalies, compliance gaps, asset exposures, shadow IT, and unusual behavior across devices. Its AI and machine-learning models monitor more than 100 device parameters to detect risks that may not appear in standard vulnerability feeds. The platform prioritizes issues based on exploit likelihood, CISA KEV status, SSVC guidance, asset importance, business context, and attacker behavior mapped through MITRE ATT&CK and CWE. Saner CVEM also supports continuous SCAP and OVAL-based scans across operating systems and more than 550 third-party applications. Security teams can use its integrated remediation and patch deployment capabilities to reduce tool-switching, cut mean time to remediate, and improve patch compliance. The platform is built around a lightweight agent that supports Windows, Linux, and macOS environments. SecPod Saner CVEM is designed for organizations that want complete asset visibility, stronger exposure reduction, and a more automated path from detection to prevention.
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