Belgium’s Aikido launches cybersecurity AI model as demand for local tools grows
7 Articles
7 Articles
Belgium’s Aikido launches cybersecurity AI model as demand for local tools grows
Sept 21 (Reuters) - Belgian cybersecurity firm Aikido on Monday released an open-weight artificial intelligence model designed for cybersecurity applications, seeking to help companies use AI security tools without sending sensitive code to extern...
Aikido Security Unveils Altar-1 Open-Weight AI for Cybersecurity Defense
Aikido Security has unveiled Altar-1, an open-weight artificial intelligence model designed to run defensive cybersecurity workloads entirely inside an organization’s own infrastructure. The model aims to help security teams use advanced AI for vulnerability discovery and penetration testing without sending source code, internal documentation, or security findings to external cloud-based inference services. Altar-1 is built […]
Aikido Unveils AI ‘Altar’ for Secure Cyber Defence
Belgian cybersecurity firm Aikido has unveiled an open-weight artificial intelligence model, 'Altar', specifically engineered for cybersecurity applications. Released on Monday, the new model seeks to empower companies to leverage advanced AI security tools without the necessity of transmitting sensitive code to external providers. This innovation is particularly pertinent given the rising industry focus on data
Aikido Altar Brings Open-Weight Cybersecurity AI Local
Aikido has launched Altar, an open-weight cybersecurity AI model designed to run locally so sensitive code and security context can remain inside customer infrastructure. #technology, #artificialintelligence, #cybersecurity, #aisecurity, #aikido, #openweightai, #flyingeze
Aikido presented Altar, an open weight artificial intelligence model designed to perform defensive security tasks within the client’s infrastructure, even in completely isolated environments. The company states that it reduced a GLM-5.3-based model from 1.51 TB to 328 GB and retained 92% of the vulnerability coverage of its original reference.
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