Security operations centers (SOCs) are struggling to get value from AI, with many adopting AI tools that were added to existing security products, limiting their effectiveness. A better approach is to build AI-native platforms from the ground up, allowing different capabilities to work together seamlessly.
AI is also being used in various industries, such as healthcare, where University of Utah Health is using AI to help patients recover at home. The AI tool analyzes patient data to identify those ready for home-based care, streamlining the process and expanding access to innovative care models.
In the fight against denial of service attacks, AI assistant Claude helped mitigate an attack on TidBITS by providing valuable guidance on troubleshooting and implementing fixes. McDonald's is also testing an AI drive-thru system at five US locations to improve efficiency and accuracy.
Meanwhile, Huawei Technologies claims to have completed post-training of a 1.6-trillion-parameter AI model using 1,000 Ascend 910C chips, demonstrating the potential of its AI chips for large-scale model training and tuning. A proposed federal AI bill aims to pre-empt state laws related to AI development for three years, focusing on model safety, workforce impacts, and extending the Cybersecurity Information Sharing Act of 2015.
Key Takeaways
['Many security operations centers (SOCs) are not getting significant benefits from AI due to limited integration with existing security products.', 'Building AI-native platforms from the ground up can help unlock the full potential of AI in security.', 'University of Utah Health is using AI to help patients recover at home, streamlining the process and expanding access to innovative care models.', 'AI assistant Claude helped mitigate a denial of service attack on TidBITS by providing valuable guidance on troubleshooting and implementing fixes.', "McDonald's is testing an AI drive-thru system at five US locations to improve efficiency and accuracy.", 'Huawei Technologies claims to have completed post-training of a 1.6-trillion-parameter AI model using 1,000 Ascend 910C chips.', 'A proposed federal AI bill aims to pre-empt state laws related to AI development for three years, focusing on model safety and workforce impacts.', 'The fake AI speech that went viral highlights the desire for moral leadership and uncomfortable truths.', 'McKinsey outlines steps for companies to capture tangible business value from AI, including building foundational capabilities and identifying high-impact use cases.', 'The advertising industry has influenced the way we write and communicate, often prioritizing style over substance, and AI writing tools have further polished our language.']AI Added to Legacy Security Platforms: A Recipe for Disappointment
Adding AI to old security platforms may seem like a good idea, but it often doesn't work well. These platforms were not designed to support AI, leading to fragmented systems and limited benefits. A better approach is to build AI-native platforms from the ground up, allowing different capabilities to work together seamlessly. This way, AI can be used to its full potential, making security teams more efficient and effective.
Most SOCs Not Getting Value from AI
Many security operations centers (SOCs) are adopting AI, but few are seeing significant benefits. The first wave of AI tools were often added to existing security products, which limited their effectiveness. To get more value from AI, SOCs need to rethink their approach and focus on integrating AI in a way that connects different tools and workflows.
Fake AI Speech Highlights Leadership Vacuum
A fake speech attributed to Namibia's president went viral, highlighting a desire for moral leadership and uncomfortable truths. The speech, generated by AI, denounced corruption and foreign exploitation, resonating with people in Africa and the Caribbean. However, when it was revealed to be fake, it underscored the need for genuine leaders to speak out on important issues.
How Advertising Set the Stage for AI Language
The advertising industry has influenced the way we write and communicate, often prioritizing style over substance. AI writing tools have further polished our language, making it cleaner and more standardized. However, this can come at the cost of originality and authenticity, as AI-generated text can lack the nuance and personality of human writing.
McKinsey: Capturing AI Value
McKinsey outlines steps for companies to move beyond AI hype and capture tangible business value. This includes building foundational capabilities, identifying high-impact use cases, and scaling AI responsibly across the organization. A clear strategy, strong data governance, and a culture that embraces AI innovation are essential.
AI Helps Patients Recover at Home
University of Utah Health is using AI to help patients recover at home. The AI tool analyzes patient data to identify those ready for home-based care, streamlining the process and expanding access to innovative care models. This collaboration between clinicians, developers, and data scientists aims to improve patient outcomes and reduce administrative burdens.
Fighting Denial of Service Attacks with AI
A denial of service attack on TidBITS was mitigated with the help of AI assistant Claude. Claude provided valuable guidance on troubleshooting and implementing fixes, such as navigating Cloudflare's interface and identifying malicious traffic patterns. While AI assistance was helpful, it also highlighted the importance of human judgment and oversight.
Proposed Federal AI Bill
A proposed federal AI bill aims to pre-empt state laws related to AI development for three years. The bill focuses on model safety, workforce impacts, and extends the Cybersecurity Information Sharing Act of 2015. The goal is to promote innovation, protect Americans from emerging risks, and ensure US leadership in AI.
McDonald's Tests AI Drive-Thru
McDonald's will test an AI drive-thru system at five US locations. The system, called Archy, aims to improve the efficiency and accuracy of drive-thru ordering. This move is part of McDonald's efforts to enhance customer experience and stay competitive in the fast-food industry.
Huawei Claims AI Model Training Breakthrough
A team led by Huawei Technologies claims to have completed post-training of a 1.6-trillion-parameter AI model using 1,000 Ascend 910C chips. This achievement demonstrates the potential of Huawei's AI chips for large-scale model training and tuning.
Sources
- Why Adding AI to Legacy Security Platforms Is the Wrong Bet
- Only 10% of SOCs Say They’re Getting Excellent Value From AI. Here’s What the Second Wave Has to Deliver
- It’s no surprise that an AI-faked presidential speech condemning foreign exploitation went viral – the world is suffering from a leadership vacuum
- How the Ad World Set Us Up for AI Language
- McKinsey: The AI revolution: Mapping the journey from hype to value
- How AI is helping more patients recover at home
- Fighting a Denial of Service Attack with AI Assistance
- Proposed Federal AI Bill Would Pre-empt States for 3 Years
- McDonald's to test AI drive-thru system at five locations
- Huawei-led team claims it post-trained DeepSeek's 1.6-trillion-parameter model — 1,000 Ascend 910C chips used in training
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