Daylight
Daylight combines cutting-edge agentic AI with top-tier human skills to offer an advanced managed detection and response service that transcends mere notifications, striving to “take command” of your cybersecurity landscape. It ensures comprehensive monitoring of your entire environment, leaving no gaps, while providing context-sensitive protection that adapts and evolves based on your systems and historical incidents, including communications through platforms like Slack. This service boasts an exceptionally low rate of false positives, the quickest detection and response times in the industry, and seamless integration with your existing IT and security tools, accommodating limitless platforms and integrations while delivering actionable insights through AI-enhanced dashboards without unnecessary noise. With Daylight, you receive true comprehensive threat detection and response without the need for escalations, round-the-clock expert assistance, tailored response workflows, extensive visibility across your environment, and quantifiable enhancements in analyst efficiency and response time, all designed to transition your security operations from a reactive stance to a proactive command approach. This holistic approach not only empowers your team but also fortifies your defenses against evolving threats in the digital landscape.
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SOCRadar Extended Threat Intelligence
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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Mindgard
Mindgard, the leading cybersecurity platform for AI, specialises in securing AI/ML models, encompassing LLMs and GenAI for both in-house and third-party solutions. Rooted in the academic prowess of Lancaster University and launched in 2022, Mindgard has rapidly become a key player in the field by tackling the complex vulnerabilities associated with AI technologies. Our flagship service, Mindgard AI Security Labs, reflects our dedication to innovation, automating AI security testing and threat assessments to identify and remedy adversarial threats that traditional methods might miss due to their complexity.
Our platform is supported by the largest, commercially available AI threat library, enabling organizations to proactively protect their AI assets across their entire lifecycle. Mindgard seamlessly integrates with existing security ecosystem platforms, enabling Security Operations Centers (SOCs) to rapidly onboard AI/ML solutions and manage AI-specific vulnerabilities and hence risk.
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CrowdStrike Falcon AIDR
CrowdStrike Falcon AI Detection and Response (AIDR) serves as a comprehensive security solution aimed at safeguarding the quickly evolving AI attack landscape by offering immediate visibility, detection, and response capabilities across various AI systems, users, and their interactions. This platform grants a consolidated view of how both employees and AI agents engage with generative AI by elucidating the connections between users, prompts, models, agents, and the necessary infrastructure, while also recording in-depth runtime logs for purposes of monitoring, compliance, and investigation. By consistently overseeing AI operations across endpoints, cloud settings, and applications, organizations can gain insights into data movement within AI frameworks and how agents function within established limits. AIDR is adept at identifying and neutralizing AI-specific threats, including prompt injections, jailbreak attempts, malicious actors, harmful outputs, and unauthorized interactions, through the application of behavioral analysis alongside integrated threat intelligence. Additionally, the platform facilitates proactive threat management, allowing organizations to not only respond to incidents but also to anticipate potential vulnerabilities in their AI ecosystems.
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