AI is rapidly evolving, presenting both opportunities and challenges across various sectors. Security concerns are paramount, with AI supply chains lagging behind in protection, creating vulnerabilities that attackers can exploit. CISOs are urged to develop comprehensive AI security strategies to mitigate risks, address shadow AI, and ensure compliance with emerging regulations. kama.ai is enhancing its AI agent platform by integrating Cohere, a Canadian company focused on secure AI models, to strengthen data security and Canada's Sovereign AI initiatives; according to Brian Ritchie, CEO of kama.ai, this makes AI systems safer for brands. While some suggest commodity traders may not need to fear AI as much as equity traders, other countries are embracing AI education, as China integrates AI into its school curriculum, linking it to student reviews to prepare students for an AI-driven future. The rise of AI agents introduces new identity and security challenges, requiring updated security rules to manage their autonomous decision-making. Experts emphasize the U.S. must take the lead in establishing AI rules for national security, particularly in light of cyber threats and AI advancements from China. Concerns are also growing about 'AI-washing,' where companies exaggerate the AI capabilities of their products for marketing purposes. Despite the buzz around companies like OpenAI and Google, Apple is strategically focusing on reliability, privacy, and seamless integration of AI into its devices, potentially acquiring Perplexity to enhance Siri and search functionalities. To address the AI skills gap, Stemuli and Heartland Forward are launching an AI training platform in the central U.S., targeting rural students and entrepreneurs with AI-powered learning tools.
Key Takeaways
- AI supply chain security is lagging, creating vulnerabilities for attackers.
- CISOs need strategies to secure AI, address shadow AI, and ensure regulatory compliance.
- kama.ai integrates Cohere to enhance its AI agent platform with secure AI models.
- Brian Ritchie, CEO of kama.ai, believes this makes AI systems safer for brands.
- China is integrating AI education into its school curriculum, linking it to student reviews.
- AI agents present new identity and security challenges, requiring updated rules.
- The U.S. must lead in creating AI rules for national security, especially against Chinese threats.
- Companies may be exaggerating AI in their products, a practice known as AI-washing.
- Apple focuses on reliability and integration, potentially acquiring Perplexity to improve Siri.
- Stemuli and Heartland Forward launch an AI training platform for rural students in the central U.S.
AI supply chain security lags behind, creating new threats
AI software supply chains are growing, but security isn't keeping up, says CSO. Attackers are exploiting weaknesses in AI platforms to compromise data. Security tools aren't ready to scan AI models for malicious code. Experts recommend extending existing security policies to cover AI components. The Cloud Security Alliance also released guidance on AI agent security.
CISOs need strategies to secure AI in their businesses
CISOs need AI security strategies to protect businesses while using AI responsibly. AI introduces security, compliance, and reputation risks. CISOs should work with leaders to create a risk plan for AI use. They should also address shadow AI, which is AI programs employees use without permission. Frameworks and tools can help manage AI risks, and companies must follow AI regulations.
kama.ai adds Cohere to its AI Agent Platform
kama.ai added Cohere to its hybrid AI agent platform for better AI. Cohere is a Canadian company focused on data security for businesses. This partnership improves kama.ai's ability to deliver trusted knowledge using Cohere's secure AI models. The integration strengthens Canada's Sovereign AI, which focuses on national control over AI data and rules. Brian Ritchie, CEO of kama.ai, believes this makes AI systems safer for brands.
Commodity traders don't need to fear AI yet
This article suggests that commodity traders do not need to fear AI as much as equity traders do.
China integrates AI into school curriculum, links to student reviews
Several cities in China are adding AI education to primary and secondary schools. Beijing, Guangzhou, and Chengdu are creating plans with class hour requirements for each school level. AI course results will be part of students' overall assessments. Courses will cover AI concepts, applications, methods, and ethics. The goal is to prepare students for an AI-driven future.
AI Agents bring new identity and security challenges
AI agents are changing how work is done, but create identity and security issues. Unlike regular automation, AI agents make decisions without much human help. This makes it hard to know who is responsible for actions and if they were allowed. AI agents use software parts that each have their own security, but together they can affect data security. New security rules are needed to manage AI agents effectively.
US must lead on AI rules for national security, says expert
Dave Hatter says the U.S. must create AI rules for national security before China does. He warns about China's cyberattacks and AI advancements. Chinese-made tech with hidden vulnerabilities threaten U.S. infrastructure. China's AI model focuses on control, not freedom. The U.S. must invest in ethical AI and hold bad actors responsible.
Are companies exaggerating AI in their products AI-washing
Companies may be exaggerating how much AI is in their products, called AI-washing. This is like greenwashing, where products are falsely labeled as eco-friendly. Some products labeled AI-powered are just well-designed automation. Examples include Samsung washing machines, Builder.ai, Logitech's AI mouse, Oral-B toothbrushes, and LG air conditioners. It's important to know the difference between real AI and clever marketing.
Apple may be winning the AI race with a different strategy
While companies like OpenAI and Google get AI attention, Apple may still win. Apple focuses on reliability, privacy, and customer happiness. With many devices and full control, Apple can combine AI with easy interfaces. It doesn't need the best AI model, just good integration. Apple might buy Perplexity, an AI search engine, to improve Siri and search.
AI training platform launches in central US for rural students
Stemuli and Heartland Forward are launching an AI training platform in the central U.S. The platform will help rural students and entrepreneurs learn AI skills. It uses AI-powered, game-like learning tools. The program aims to give people skills for better jobs. The training covers AI topics like large language models, machine learning, and AI in the workplace.
Sources
- AI supply chain threats loom — as security practices lag
- CISO playbook for securing AI in the enterprise
- kama.ai makes Cohere available on its Hybrid AI Agent Platform
- Traders in this asset class need not fear Algos, AI
- Chinese cities roll out AI curriculum in schools, linking learning outcomes to student evaluation
- The Emerging Identity Imperatives of Agentic AI
- Opinion - Dave Hatter: The U.S. must write the rules on AI and national security before China does
- AI-washing: Are we fooling ourselves with artificial intelligence?
- Don’t count out Apple in the ‘AI race’: It might be in the best position of all
- Stemuli and Heartland Forward Launch 'First-of-Its-Kind' AI Training Platform in Central U.S.