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Brazilian telcos to push back on network fee ban

Brazilian telecom operators strongly oppose a bill that would ban charging network fees to big tech companies, arguing that these companies consume most of the network traffic, about 80% of mobile and 55% of fixed usage. The telcos propose a compromise where big techs either pay for usage above a set threshold or contribute a portion of their revenues to help fund network infrastructure expansion.

While internet companies claim they already invest heavily in infrastructure such as submarine cables and content delivery networks, telcos view the bill as unconstitutional economic intervention but prefer to reach a negotiated agreement rather than pursue legal battles. In addition, telcos are advocating for the renewal of existing tax exemptions on Internet of Things (IoT) devices and connectivity fees, which are set to expire in 2025.

These exemptions have supported significant growth in IoT applications across sectors like banking and agribusiness, with non-human connections such as sensors and payment machines now driving mobile network growth more than traditional phone lines. Although the federal government aims to reduce broad tax breaks, Congress’s outlook favours maintaining these IoT incentives to sustain connectivity expansion.

Discussions are also underway about expanding the regulatory scope of Brazil’s telecom watchdog, Anatel, to cover additional digital infrastructure elements such as DNS services, internet exchange points, content delivery networks, and cloud platforms. That potential expansion would require amendments to Brazil’s internet civil rights and telecommunications frameworks, reflecting evolving priorities in managing the country’s digital infrastructure and services.

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NSA and allies set AI data security standards

The National Security Agency (NSA), in partnership with cybersecurity agencies from the UK, Australia, New Zealand, and others, has released new guidance aimed at protecting the integrity of data used in AI systems.

The Cybersecurity Information Sheet (CSI), titled AI Data Security: Best Practices for Securing Data Used to Train & Operate AI Systems, outlines emerging threats and sets out 10 recommendations for mitigating them.

The CSI builds on earlier joint guidance from 2024 and signals growing global urgency around safeguarding AI data instead of allowing systems to operate without scrutiny.

The report identifies three core risks across the AI lifecycle: tampered datasets in the supply chain, deliberately poisoned data intended to manipulate models, and data drift—where changes in data over time reduce performance or create new vulnerabilities.

These threats may erode accuracy and trust in AI systems, particularly in sensitive areas like defence, cybersecurity, and critical infrastructure, where even small failures could have far-reaching consequences.

To reduce these risks, the CSI recommends a layered approach—starting with sourcing data from reliable origins and tracking provenance using digital credentials. It advises encrypting data at every stage, verifying integrity with cryptographic tools, and storing data securely in certified systems.

Additional measures include deploying zero trust architecture, using digital signatures for dataset updates, and applying access controls based on data classification instead of relying on broad administrative trust.

The CSI also urges ongoing risk assessments using frameworks like NIST’s AI RMF, encouraging organisations to anticipate emerging challenges such as quantum threats and advanced data manipulation.

Privacy-preserving techniques, secure deletion protocols, and infrastructure controls round out the recommendations.

Rather than treating AI as a standalone tool, the guidance calls for embedding strong data governance and security throughout its lifecycle to prevent compromised systems from shaping critical outcomes.

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Fake DeepSeek ads deliver ‘BrowserVenom’ malware to curious AI users

Cybercriminals are exploiting the surge in interest around local AI tools by spreading a new malware strain via Google ads.

According to antivirus firm Kaspersky, attackers use fake ads for DeepSeek’s R1 AI model to deliver ‘BrowserVenom,’ malware designed to intercept and manipulate a user’s internet traffic instead of merely infecting the device.

The attackers purchased ads appearing in Google search results for ‘deep seek r1.’ Users who clicked were redirected to a fake website—deepseek-platform[.]com—which mimicked the official DeepSeek site and offered a file named AI_Launcher_1.21.exe.

Kaspersky’s analysis of the site’s source code uncovered developer notes in Russian, suggesting the campaign is operated by Russian-speaking actors.

Once launched, the fake installer displayed a decoy installation screen for the R1 model, but silently deployed malware that altered browser configurations.

BrowserVenom rerouted web traffic through a proxy server controlled by the hackers, allowing them to decrypt browsing sessions and capture sensitive data, while evading most antivirus tools.

Kaspersky reports confirmed infections across multiple countries, including Brazil, Cuba, India, and South Africa.

The malicious domain has since been taken down. However, the incident highlights the dangers of downloading AI tools from unofficial sources. Open-source models like DeepSeek R1 require technical setup, typically involving multiple configuration steps, instead of a simple Windows installer.

As interest in running local AI grows, users should verify official domains and avoid shortcuts that could lead to malware.

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Meta sues AI firm over fake nude images created without consent

Meta has filed a lawsuit against Joy Timeline HK Ltd in Hong Kong, accusing the firm of using its platforms to promote a generative AI app called CrushAI.

The app allows users to digitally strip clothes from images of people, often without consent. Meta said the company repeatedly attempted to bypass ad review systems to push harmful content, advertising phrases like ‘see anyone naked’ on Facebook and Instagram.

The lawsuit follows Meta’s broader investigation into ‘nudity’ apps, which are increasingly being used to create sexualised deepfakes. Despite bans on nonconsensual explicit content, the company said such apps evade detection by disguising ads or rotating domain names after bans.

According to research by Cornell Tech, over 8,000 ads linked to CrushAI appeared on Meta platforms in recent months. Meta responded by updating its detection systems with a broader range of flagged terms and emojis.

While many of the manipulated images target celebrities, concerns are growing about the use of such technology to exploit minors. In one case in Florida, two teenagers used similar AI tools to create sexualised images of classmates.

The issue has sparked legal action in the US, where the Take It Down Act, signed into law earlier this year, criminalises the publication of nonconsensual deepfake imagery and simplifies removal processes for victims.

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Meta hires top AI talent from Google and Sesame

Meta is assembling a new elite AI research team aimed at developing artificial general intelligence (AGI), luring top talent from rivals including Google and AI voice startup Sesame.

Among the high-profile recruits is Jack Rae, a principal researcher from Google DeepMind, and Johan Schalkwyk, a machine learning lead from Sesame.

Meta is also close to finalising a multibillion-dollar investment in Scale AI, a data-labelling startup led by CEO Alexandr Wang, who is also expected to join the new initiative.

The new group, referred to internally as the ‘superintelligence’ team, is central to CEO Mark Zuckerberg’s plan to close the gap with competitors like Google and OpenAI.

Following disappointment over Meta’s recent AI model, Llama 4, Zuckerberg hopes the newly acquired expertise will help improve future models and expand AI capabilities in areas like voice and personalisation.

Zuckerberg has taken a hands-on approach, personally recruiting engineers and researchers, sometimes meeting with them at his homes in California. Meta is reportedly offering compensation packages worth tens of millions of dollars, including equity, to attract leading AI talent.

The company aims to hire around 50 people for the team and is also seeking a chief scientist to help lead the effort.

The broader strategy involves investing heavily in data, chips, and human expertise — three pillars of advanced AI development. By partnering with Scale AI and recruiting high-profile researchers, Meta is trying to strengthen its position in the AI race.

Meanwhile, rivals like Google are reinforcing their defences, with Koray Kavukcuoglu named as chief AI architect in a new senior leadership role to ensure DeepMind’s technologies are more tightly integrated into Google’s products.

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AI cheating crisis leaves teachers in despair

Teachers across the US are growing alarmed by widespread student use of AI for assignments, calling it a crisis that undermines education itself. Some professors report that students now rely on AI for everything from note-taking to essay writing, leaving educators questioning the future of learning.

The fear of false accusations is rising among honest students, with some recording their screens to prove their work is genuine. Detection tools often misfire, further complicating efforts to distinguish real effort from AI assistance.

While some argue for banning tech and returning to traditional classroom methods, others suggest rethinking US education entirely. Rather than fighting AI, some believe it offers a chance to re-engage students by giving them meaningful work they want to do.

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Cisco to reinvent network security for the AI era

Cisco has introduced a major evolution in security policy management, aiming to help enterprises scale securely without increasing complexity. At the centre of this transformation is Cisco’s Security Cloud Control, a unified policy framework designed to simplify and centralise the enforcement of security policies across a wide range of environments and technologies.

With the introduction of the Mesh Policy Engine, organisations can now define a single, intent-based policy that applies seamlessly across Cisco and third-party firewalls. Cisco is also upgrading its network security infrastructure to support AI-ready environments.

The new Hybrid Mesh Firewall includes the high-performance 6100 Series for data centres and the cost-efficient 200 Series for branch deployments, offering advanced threat inspection and integrated SD-WAN. Enforcement is extended across SD-WAN, smart switches, and ACI fabric, ensuring consistent protection.

Additionally, Cisco has deepened its integration with Splunk to enhance threat detection, investigation, and response (TDIR). Firewall log data feeds into Splunk for advanced analytics, while new SOAR integrations automate key responses like host isolation and policy enforcement.

Combined with telemetry from Cisco’s broader ecosystem, these tools provide faster, more informed threat management. Together, these advancements position Cisco as a leader in AI-era cybersecurity, offering a unified and intelligent platform that reduces complexity, improves detection and response, and secures emerging technologies like agentic AI. By embedding policy-driven security into the core of enterprise networks, Cisco is enabling organisations to innovate with AI safely and securely.

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Turing Institute urges stronger AI research security

The Alan Turing Institute has warned that urgent action is needed to protect the UK’s AI research from espionage, intellectual property theft and risky international collaborations.

Its Centre for Emerging Technology and Security (CETaS) has published a report calling for a culture shift across academia to better recognise and mitigate these risks.

The report highlights inconsistencies in how security risks are understood within universities and a lack of incentives for researchers to follow government guidelines. Sensitive data, the dual-use potential of AI, and the risk of reverse engineering make the field particularly vulnerable to foreign interference.

Lead author Megan Hughes stressed the need for a coordinated response, urging government and academia to find the right balance between academic freedom and security.

The report outlines 13 recommendations, including expanding support for academic due diligence and issuing clearer guidance on high-risk international partnerships.

Further proposals call for compulsory research security training, better threat communication from national agencies, and standardised risk assessments before publishing AI research.

The aim is to build a more resilient research ecosystem as global interest in UK-led AI innovation continues to grow.

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Meta launches AI to teach machines physical reasoning

Meta Platforms has unveiled V-JEPA 2, an open-source AI model designed to help machines understand and interact with the physical world more like humans do.

The technology allows AI agents, including delivery robots and autonomous vehicles, to observe object movement and predict how those objects may behave in response to actions.

The company explained that just as people intuitively understand that a ball tossed into the air will fall due to gravity, AI systems using V-JEPA 2 gain a similar ability to reason about cause and effect in the real world.

Trained using video data, the model recognises patterns in how humans and objects move and interact, helping machines learn to reach, grasp, and reposition items more naturally.

Meta described the tool as a step forward in building AI that can think ahead, plan actions and respond intelligently to dynamic environments. In lab tests, robots powered by V-JEPA 2 performed simple tasks that relied on spatial awareness and object handling.

The company, led by CEO Mark Zuckerberg, is ramping up its AI initiatives to compete with rivals like Microsoft, Google, and OpenAI. By improving machine reasoning through world models such as V-JEPA 2, Meta aims to accelerate its progress toward more advanced AI.

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Apple brings AI tools to apps and Siri

Apple is rolling out Apple Intelligence, its generative AI platform, across popular apps including Messages, Mail, and Notes. Introduced in late 2024 and expanded in 2025, the platform blends text and image generation, redesigned Siri features, and integrations with ChatGPT.

The AI-enhanced Siri can now edit photos, summarise content, and interact across apps with contextual awareness. Writing tools offer grammar suggestions, tone adjustments, and content generation, while image tools allow for Genmoji creation and prompt-based visuals via the Image Playground app.

Unlike competitors, Apple uses on-device processing for many tasks, prioritising privacy. More complex queries are sent to its Private Cloud Compute system running on Apple Silicon, with a visible fallback if offline. Additional features like Visual Intelligence and Live Translation are expected later in 2025.

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