Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

netacea

Offensive AI Lowers the Barrier of Entry for Bot Attackers

May 28, 2024 By Alex McConnell In Netacea
The use of artificial intelligence (AI) for defense allows for the better scanning of networks for vulnerabilities, automation, and attack detection based on existing datasets. However this is all in defense against an unknown attacker, who can have varying offensive tools all designed to overcome the most sophisticated defense. Is the biggest challenge for defensive AI that there is an offensive AI operator with unknown capabilities? And has offensive AI lowered the barrier of entry for bot attackers?
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securitysenses

The Crucial Role of Fall Detection in Modern Medical Alert Systems

May 27, 2024 By SecuritySenses In SecuritySenses
As the global population ages, ensuring the safety and well-being of older adults becomes increasingly important. Falls are a major health risk for the elderly, often leading to severe injuries, reduced mobility, and a loss of independence. Fall detection technology, integrated into modern medical alert systems, plays a crucial role in mitigating these risks. This article explores the significance of fall detection, the technology behind it, and its impact on the health and safety of seniors.
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tripwire

How Criminals Are Leveraging AI to Create Convincing Scams

May 27, 2024 By Josh Breaker-Rolfe In Tripwire
Generative AI tools like ChatGPT and Google Bard are some of the most exciting technologies in the world. They have already begun to revolutionize productivity, supercharge creativity, and make the world a better place. But as with any new technology, generative AI has brought about new risks—or, rather, made old risks worse.
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protecto

Scaling RAG: Architectural Considerations for Large Models and Knowledge Sources

May 27, 2024 By Rahul Sharma In Protecto
Retrieval-Augmented Generation (RAG) is a cutting-edge strategy that combines the strengths of retrieval-based and generation-based models. In RAG, the model retrieves relevant documents or information from a vast knowledge base to enhance its response generation capabilities. This hybrid method leverages the power of large language models, like BERT or GPT, to generate coherent and contextually appropriate responses while grounding these responses in concrete, retrieved data.
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securitysenses

AI Math Review: An Advanced AI Math Calculator & Solver

May 27, 2024 By SecuritySenses In SecuritySenses
In the ever-evolving landscape of educational technology, AI Math emerges as a pioneering solution, designed to demystify the complexities of mathematics for learners across the globe. This comprehensive review delves into the multifaceted features of AI Math, highlighting its capabilities as a photo math solver, a calculator with steps, and an all-encompassing math AI solver. By offering a free, online AI Math problem solver and math calculator, AI Math stands out as a resourceful tool for students, educators, and anyone looking to enhance their mathematical understanding.
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code intelligence

The ethical considerations for AI-powered software testing

May 24, 2024 By Natalia Kazankova In Code Intelligence
As AI integrates into every stage of the SDLC, the area of software testing is undergoing transformative and unprecedented changes. In this article, we will discuss the ethical considerations for AI-powered software testing, examining the advantages and potential hurdles generative AI presents as a new technology being applied across the SDLC.
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protecto

Mitigating Data Poisoning Attacks on Large Language Models

May 23, 2024 By Rahul Sharma In Protecto
Large language models (LLMs) have experienced a meteoric rise in recent years, revolutionizing natural language processing (NLP) and various applications within artificial intelligence (AI). These models, such as OpenAI's GPT-4 and Google's BERT, are built on deep learning architectures that can process and generate human-like text with remarkable accuracy and coherence.
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egnyte

Transform Collaboration with the Power of Egnyte and Microsoft Copilot in Microsoft Teams

May 23, 2024 By Sanjay Kosuri In Egnyte
As part of our ongoing partnership and investment in Microsoft, we have deepened our integration with Microsoft's Copilot within Microsoft Teams. This integration expands Copilot's capabilities by incorporating Egnyte as an additional data source. Microsoft 365 Copilot users can now derive valuable insights from documents stored in Egnyte, enhancing the usefulness of both Egnyte and the Microsoft Copilot solution for joint customers.
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AI Workload Security

May 23, 2024 By Sysdig In Sysdig
AI usage has exploded. In just a few years, it's gone from something the enterprise should track to a powerful technology set we rely on. This sharp rise has created a world of opportunity and a new set of security challenges that we need to be aware of, but not scared of. And that's why I'm excited to share our new AI workload security feature. By understanding where they are running, Sysdig helps you control shadow AI and active AI risk and keeps you ahead of emerging AI regulations because you'll know what AI workloads you have, where they are, and what risks are associated with them.
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