abluva

We're thrilled to welcome Yuval Shani to abluva Inc.'s Advisory Board! Yuval’s extensive expertise in enterprise cybersecurity will be invaluable as we continue to push boundaries and deliver cutting-edge data security solutions. His guidance will strengthen our mission to safeguard data and drive innovation in the ever-evolving cybersecurity landscape. Welcome aboard, Yuval! https://lnkd.in/dGY2i2_Q #abluva #CyberSecurity #DataSecurity #Innovation

AWS (APAC) Security User Group is holding it's October 2024 meet up. Hope to see everyone there.

Exciting News! We are proud to announce that Abluva has joined the esteemed PHUSE Data Transparency Working Group! This group, active since 2014, includes over 70 members from leading organizations such as Sanofi, Roche, Johnson & Johnson, pharmaceuticals, CROs, software, academia, and data privacy experts. The team has developed the renowned PHUSE de-identification standard for SDTM and continues to address critical matters like EMA Policy 0070 and GDPR relevant to clinical trials. At Abluva, we believe that data transparency and data protection go hand in hand. By collaborating with industry leaders and experts, we are committed to advancing both transparency and security in clinical data management. Our participation in this working group allows us to share and enhance our knowledge in data de-identification and compliance with global regulations, ensuring that sensitive information remains protected while promoting open, transparent research practices. Special thanks to Jean-Marc Ferran and Stephen Bamford for their leadership and dedication to this initiative. Read more about PHUSE Data Transparency group here: Data Transparency - WORKING GROUPS - PHUSE Advance Hub Stay tuned for more updates as we embark on this exciting journey! #DataTransparency #DataProtection #ClinicalTrials #Abluva #PHUSE #Innovation #DataSecurity

Our groundbreaking paper on Blender GAN has been officially published in IEEE! This achievement underscores our commitment to cutting-edge research and innovation in data security and machine learning. At Abluva, our research-driven approach ensures that our products are always at the forefront of technological advancements. Blender GAN represents a significant leap in generative adversarial networks, enhancing the security and efficiency of our solutions. Read the full paper here: https://lnkd.in/dnedzyyE Congratulations to our Research team! Stay tuned for more groundbreaking papers coming soon. #Research #Innovation #DataSecurity #MachineLearning #BlenderGAN #IEEE #Abluva

Our groundbreaking paper on Blender GAN has been officially published in IEEE! This achievement underscores our commitment to cutting-edge research and innovation in data security and machine learning. At Abluva, our research-driven approach ensures that our products are always at the forefront of technological advancements. Blender GAN represents a significant leap in generative adversarial networks, enhancing the security and efficiency of our solutions. Read the full paper here: https://lnkd.in/dnedzyyE Congratulations to our Research team! Stay tuned for more groundbreaking papers coming soon. #Research #Innovation #DataSecurity #MachineLearning #BlenderGAN #IEEE #Abluva

We are excited to announce that Sarvesh Singh, a valued member of Abluva's Advisory Board, has been honoured with the ET Excellence Telangana 2024 Award for Excellence in Empowering Leadership! This prestigious recognition highlights Sarvesh's outstanding leadership. His dedication, passion, and expertise continue to inspire and propel us forward. Congratulations Sarvesh Singh! We are thrilled about your achievement and look forward to seeing you receive many more prestigious awards . #Leadership #Excellence #DataSecurity #Abluva #Empowerment #Achievement

Sarvesh Singh joins Abluva's Advisory Board, bringing over two decades of global data expertise. We're thrilled to have him on board to enhance our data protection solutions. Welcome, Sarvesh! https://lnkd.in/daW4iDgt #DataSecurity #cybersecurity #PHUSE #Leadership #Abluva #abluvaInc

We are thrilled to welcome Graeme Payne to Abluva's Advisory Board. Graeme is a seasoned cybersecurity expert with over three decades of experience in IT and security. Graeme's extensive expertise in risk management, cybersecurity governance, and compliance will be invaluable as we continue to innovate and advance our data security solutions. Welcome aboard, Graeme! We are excited to have you with us as we revolutionise data security and unlock the true potential of information. For more details, check out our full press release below. #Cybersecurity #DataSecurity #Innovation #Leadership #Abluva https://lnkd.in/dAeJGXzp

Where excellence becomes a norm, achievements become routine.    Abluva’s Advanced Research Lab achieves another milestone. The paper written by team and titled, ‘Blender-Gan: Multi-Target Conditional Generative Adversarial Network for Novel Class Synthetic Data Generation' has been peer reviewed and selected for presentation by IEEE during their SmartNets Conference in May 2024. The paper will also be published on IEEE Explore. The feedback received on the paper is very encouraging. A review feedback comment received says: “Novel results on a subject well investigated”.  Another reviewer noted that,  “The three phases of the followed methodology are well presented, and extensive experiments are performed while considering different intrusion detection datasets to show the effectiveness of the proposed approach.” Yet another reviewer commented, “Extensive experiments are carried out to show the capabilities of the proposed model in generating synthetic data and supporting label classes mixing. Obtained results are promising.“ Here is the short abstract of the paper. We propose Blender-GAN, a generative adversarial network, that takes multiple class labels and their respective proportions to generate a novel output that represents all input classes in the input proportions. Unlike traditional GANs two discriminators are used, one traditional Real/Fake classifier and another to control the class of generated data. During the new data generation phase, multiple classes are blended in defined proportions which creates new data with characteristics of the classes in the specified ratio. The proposed architecture was implemented for generating synthetic network intrusion data, using various proportions of different known attack classes. The Blender- GAN output generated new attack classes, which resembled realistic network data. We will share the link to full paper once it is published by IEEE. Watch this space to know more about our achievements. #Intrusiondetection, #artificialintelligence, #Machinelearning, #Syntheticdata, #Abluva #AbluvaInc.

Honeypot: A honeypot serves as a deceptive mechanism designed to lure and divert attackers away from genuine production systems. Operating as a trap or decoy, a honeypot mimics a legitimate system in appearance and functionality. It is strategically placed where unauthorised entities are likely to encounter it while seeking potential attack vectors. Every industry operates with its own specialised terminology, and cybersecurity is no exception. Here are a few more that show the intricacies of data security. Data Redaction: Data redaction shields sensitive information by obscuring it in physical or electronic documents. Frequently employed in legal contexts, it enables the sharing of relevant content while safeguarding personally identifiable data, intellectual property, or other confidential details. Redaction methods vary from physical blackouts to digital tools that blur or distort data, ensuring the protection of sensitive information. Least Privilege: Least Privilege is a security principle that grants users only the minimum access permissions necessary to perform their job duties. This approach minimizes potential damage resulting from unauthorised access. Eager to learn more about the cybersecurity lexicon? Explore a comprehensive glossary of commonly used terms in cybersecurity, including Whaling, NPI and more, here: https://lnkd.in/gRhRUMfM #cybersecurity #datasecurity #glossary #abluva