Kroll FAST Attack Simulation Description
Kroll’s FAST Attack Simulations merge unparalleled incident forensics expertise with top-tier security frameworks to deliver tailored simulations within your unique environment. Drawing on decades of experience in incident response and proactive testing, Kroll tailors fast attack simulations specifically to address the unique needs and potential threats facing your organization. Our extensive understanding of various industry, market, and regional dynamics that shape an organization’s threat landscape enables us to develop a range of attack simulations aimed at preparing your systems and teams for anticipated threats. In addition to addressing specific requirements from your organization, Kroll incorporates established industry standards, such as MITRE ATT&CK, alongside our extensive experience to rigorously assess your capacity to detect and respond to indicators throughout the kill chain. Once these simulations are crafted, they should be regularly utilized to evaluate and re-evaluate configuration changes, assess response readiness, and ensure compliance with internal security protocols. This ongoing process not only strengthens your defenses but also fosters a culture of continuous improvement in your security operations.
Kroll FAST Attack Simulation Alternatives
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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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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Skybox Security
Skybox's risk-based vulnerability management approach starts with new vulnerability data from your entire network, including physical IT, multicloud and operational technology (OT). Skybox assesses vulnerabilities without the need to scan. Skybox uses a variety of sources including asset and patch management systems as well as network devices. Skybox also collects, centralizes and merges data from multiple scanners to provide you with the most accurate vulnerability assessments.
- Centralize and improve vulnerability management processes, from discovery to prioritization to remediation
- Harness power vulnerability and asset data, network topology, and security controls
- Use network simulation and attack simulation to identify exposed vulnerabilities
- Augment vulnerability data by incorporating intelligence on the current threat environment
- Learn your best remedy option, including patching and IPS signatures, as well as network-based changes
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Adaptive Security
Adaptive Security is OpenAI’s investment for AI cyber threats. The company was founded in 2024 by serial entrepreneurs Brian Long and Andrew Jones. Adaptive has raised $50M+ from investors like OpenAI, a16z and executives at Google Cloud, Fidelity, Plaid, Shopify, and other leading companies.
Adaptive protects customers from AI-powered cyber threats like deepfakes, vishing, smishing, and email spear phishing with its next-generation security awareness training and AI phishing simulation platform.
With Adaptive, security teams can prepare employees for advanced threats with incredible, highly customized training content that is personalized for employee role and access levels, features open-source intelligence about their company, and includes amazing deepfakes of their own executives.
Customers can measure the success of their training program over time with AI-powered phishing simulations. Hyper-realistic deepfake, voice, SMS, and email phishing tests assess risk levels across all threat vectors. Adaptive simulations are powered by an AI open-source intelligence engine that gives clients visibility into how their company's digital footprint can be leveraged by cybercriminals.
Today, Adaptive’s customers include leading global organizations like Figma, The Dallas Mavericks, BMC Software, and Stone Point Capital. The company has a world class NPS score of 94, among the highest in cybersecurity.
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Company Details
Company:
Kroll
Year Founded:
1972
Headquarters:
United States
Website:
www.kroll.com/en/services/cyber-risk/assessments-testing/fast-attack-simulation
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