Using synthetic data and unsupervised learning methods for malware detection
Using synthetic data and unsupervised learning methods for malware detection
批准号:
10099768
负责人:
金额:
$7.53万
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
已结题
起止时间:
2023 至 --
中文摘要
在当今人工智能驱动的世界里,伟大的创新随之而来的是巨大的脆弱性。ECG.ai是游戏规则的改变者。我们为人工智能系统提供了一个量身定制的网络安全平台,使用合成数据来模拟和防御漏洞。我们不仅是被动的,我们是主动的,无缝地集成到现有的开发过程中,并始终领先于威胁。随着人工智能的采用激增,监管重点变得更加突出。ECG.ai确保人工智能系统不仅智能,而且安全和合规。ECG.ai是一个网络安全平台,确保人工智能系统免受对手威胁。它提供了可以集成到现有开发生命周期中的模块化API,以生成可用于增强AI模型的防御能力的合成数据,并模拟边缘情况和新的攻击以提高模型的弹性。我们的平台允许组织使用合成数据来了解新的威胁并加强AI模型的防御能力,从而弥合网络安全和伦理AI之间的差距。
英文摘要
In today's AI-driven world, with great innovation comes great?vulnerability.?ECG.ai is the game-changer. We offer a?tailored?cybersecurity platform for AI systems, using synthetic data?to mimic?and defend against vulnerabilities.??We are?not just reactive, we are proactive, seamlessly integrating into?existing development processes and always staying steps ahead of threats.?As AI adoption surges, regulatory focus sharpens.?ECG.ai ensures AI?systems are not just smart, but secure and compliant.??ECG.ai is a cybersecurity platform that secures AI systems against adversarial threats. It provides a modular API that can be integrated into the existing development lifecycle to generate synthetic data that can?be used to increase defence capabilities of AI models and simulates edge cases and novel attacks to improve model resilience. Our platform allows organizations to bridge the gap between cybersecurity and ethical AI using synthetic data to understand new threats and harden the defensive capabilities of AI models.
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国内基金
海外基金
近空间飞行器载MIMO SAR高分辨率、宽测绘带遥感成像机理与方法
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批准号:41101317
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项目类别:青年科学基金项目
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资助金额:25.0万元
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批准年份:2011
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负责人:王文钦
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依托单位:
基于大机动运动平台的特定目标多极化成像与匹配技术研究
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批准号:11176022
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项目类别:联合基金项目
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资助金额:46.0万元
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批准年份:2011
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负责人:周峰
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依托单位: