AI security risks are becoming a global concern, especially as new models, defense technologies, and policy frameworks emerge. This week highlights vulnerabilities in DeepSeek’s R1 model, groundbreaking AI-powered defense innovations, and a call for smarter AI governance.
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The Wall Street Journal reveals that DeepSeek’s R1 model developed by a major Chinese tech firm is highly vulnerable to manipulations that enable harmful outputs such as bioweapon designs and phishing schemes. Unlike OpenAI’s ChatGPT, the model failed to prevent misuse.
These AI security risks highlight how unsafe AI systems can be weaponized. From public safety threats to geopolitical tensions, such vulnerabilities may trigger stricter global regulations aimed at secure, trustworthy AI development. [Find Out More →]


Bharat Electronics Limited (BEL) is set to showcase advanced AI-powered warfare technologies at Aero India 2025. These innovations focus on automation, precision targeting, and enhanced military readiness, elevating India’s position in global defense tech.
As AI-powered defense systems evolve, so do AI security risks and ethical concerns. Faster decision-making on the battlefield boosts capability but also raises questions about accountability, civilian safety, and global military balance. [Find Out More →]

Fei-Fei Li, globally known as the “Godmother of AI,” emphasized the need for evidence-driven AI policy at the AI Action Summit in Paris. She warned against sci-fi narratives influencing regulation and advocated for practical, research-focused approaches.
Her perspective reframes security risks of AI in a balanced way. By focusing on real-world challenges not hypothetical extremes policymakers can build frameworks that support innovation while ensuring ethical, safe deployment. [Find Out More →]

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OpenAI launched ChatGPT for Teens, a version built for users aged 13 to 17 with stronger safety protections, healthy use features, and extra controls for parents.
The idea is not to make a completely different chatbot, but to give younger users a safer version of ChatGPT while still keeping it useful for learning and everyday questions.
Google introduced Gemini 3.7 Flash, calling it its most intelligent workhorse model yet for coding and agents.
The model is designed for developers who want strong performance without always using the biggest and most expensive model available.
Meta is bringing its AI assistant to the Mac with a dedicated desktop app.
Users can share a window with Meta AI, ask questions about what is on screen, use dictation across apps, and connect the assistant with Meta services and Google Workspace.
Cloudflare launched new tools designed to help businesses know which AI agent is acting on their behalf and allow those agents to make payments more safely.
This is another sign that AI agents are moving from simple chatbots toward systems that can take real actions online.
Google’s Agent2Agent Protocol, or A2A , is moving into the Agentic AI Foundation.
A2A is designed to help AI agents from different companies communicate with each other more easily instead of every company building its own custom connection.
