Page 193 - Cyber Defense eMagazine July 2024
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DeepKeep Dashboard:




























            AI is becoming essential for businesses and everyday life. In 2023, 35% of businesses  adopted AI, and
            90% of leading businesses supported  and invested in AI for competitive advantage.  As the adoption of
            LLMs and generative AI surges across diverse applications and industries, organizational attack surfaces
            expand,  introducing  unique  threats  and  weaknesses.  New  risks  associated  with  LLMs  go  beyond
            traditional cyber-attacks and include Prompt Injection, Jailbreak, and PII Leakage, as well as the lack of
            trustworthiness due to biases, fairness, and vulnerabilities.

            Gartner’s  new  TRiSM  category  is  a  perfect  fit  for  DeepKeep,  as  it  ensures  AI  model  governance,
            trustworthiness, fairness, reliability, robustness, efficacy, and data protection. This includes solutions and
            techniques  for  model  interpretability  and  explainability,  AI  data  protection,  model  operations,  and
            adversarial attack resistance.

            DeepKeep’s  unique  use  of  Generative  AI  to secure  Generative  AI  sets  it  apart  from  competitors  like
            Hidden Layer and Robust Intelligence. We leverage GenAI to protect LLMs and computer vision models
            throughout  the entire  AI lifecycle.  Our AI-native  security  solutions  ensure  businesses  adopt AI  safely,
            protecting both commercial and consumer data.

            DeepKeep's  expertise includes  computer vision  models, large language  models (LLM) and multimodal
            scenarios.  We  prioritize  implementing  both  trustworthiness  and security  to enable  synergies  equaling
            more  than  the  sum  of  the  parts,  and  also  address  both  digital  and  physical  threats,  such  as  facial
            recognition and object detection, to ensure comprehensive  protection.

            DeepKeep  raised  $10M  in  seed  funding  in  a  round  led  by  Canadian-Israeli  VC  Awz  Ventures.  Our
            roadmap includes expanding into multilingual natural language processing (NLP). As we collaborate with
            multinational  companies  globally,  there  is  growing  demand  for  support  in multiple  languages,  with an
            initial focus on Japanese, driven by our partnerships with Japanese firms.

            DeepKeep recently conducted an extensive evaluation of Meta’s LlamaV2 7B LLM, summarized with the
            following weaknesses and strengths:




            Cyber Defense eMagazine – July 2024 Edition                                                                                                                                                                                                          193
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