Consumer protection

Crypto confiscation framework approved by State Duma

Russia’s State Duma has passed legislation establishing procedures for the seizure and confiscation of cryptocurrencies in criminal investigations. The law formally recognises digital assets as property under criminal law.

The bill cleared its third reading on 10 February and now awaits approval from the Federation Council and presidential signature.

Investigators may seize digital currency and access devices, with specialists required during investigative actions. Protocols must record asset type, quantity, and wallet identifiers, while access credentials and storage media are sealed.

Where technically feasible, seized funds may be transferred to designated state-controlled addresses, with transactions frozen by court order.

Despite creating a legal basis for confiscation, the law leaves critical operational questions unresolved. No method exists for valuing volatile crypto assets or for their storage, cybersecurity, or liquidation.

Practical cooperation with foreign crypto platforms, particularly under sanctions, also remains uncertain.

The government is expected to develop subordinate regulations covering state custody wallets and enforcement mechanics. Russia faces implementation challenges, including non-custodial wallet access barriers, stablecoin freezing limits, and institutional oversight risks.

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AI tool accelerates detection of foodborne bacteria

Researchers have advanced an AI system designed to detect bacterial contamination in food, dramatically improving accuracy and speed. The upgraded tool distinguishes bacteria from microscopic food debris, reducing diagnostic errors in automated screening.

Traditional testing relies on cultivating bacterial samples, taking days, and requiring specialist laboratory expertise. The deep learning model analyses bacterial microcolony images, enabling reliable detection within about three hours.

Accuracy gains stem from expanded model training. Earlier versions, trained solely on bacterial datasets, misclassified food debris as bacteria in more than 24% of cases.

Adding debris imagery to training eliminated misclassifications and improved detection reliability across food samples. The system was tested on pathogens including E. coli, Listeria, and Bacillus subtilis, alongside debris from chicken, spinach, and cheese.

Researchers say faster, more precise early detection could reduce foodborne outbreaks, protect public health, and limit costly product recalls as the technology moves toward commercial deployment.

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India enforces a three-hour removal rule for AI-generated deepfake content

Strict new rules have been introduced in India for social media platforms in an effort to curb the spread of AI-generated and deepfake material.

Platforms must label synthetic content clearly and remove flagged posts within three hours instead of allowing manipulated material to circulate unchecked. Government notifications and court orders will trigger mandatory action, creating a fast-response mechanism for potentially harmful posts.

Officials argue that rapid removal is essential as deepfakes grow more convincing and more accessible.

Synthetic media has already raised concerns about public safety, misinformation and reputational harm, prompting the government to strengthen oversight of online platforms and their handling of AI-generated imagery.

The measure forms part of a broader push by India to regulate digital environments and anticipate the risks linked to advanced AI tools.

Authorities maintain that early intervention and transparency around manipulated content are vital for public trust, particularly during periods of political sensitivity or high social tension.

Platforms are now expected to align swiftly with the guidelines and cooperate with legal instructions. The government views strict labelling and rapid takedowns as necessary steps to protect users and uphold the integrity of online communication across India.

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EU Court opens path for WhatsApp to contest privacy rulings

The Court of Justice of the EU has ruled that WhatsApp can challenge an EDPB decision directly in European courts. Judges confirmed that firms may seek annulment when a decision affects them directly instead of relying solely on national procedures.

A ruling that reshapes how companies defend their interests under the GDPR framework.

The judgment centres on a 2021 instruction from the EDPB to Ireland’s Data Protection Commission regarding the enforcement of data protection rules against WhatsApp.

European regulators argued that only national authorities were formal recipients of these decisions. The court found that companies should be granted standing when their commercial rights are at stake.

By confirming this route, the court has created an important precedent for businesses facing cross-border investigations. Companies will be able to contest EDPB decisions at EU level rather than moving first through national courts, a shift that may influence future GDPR enforcement cases across the Union.

Legal observers expect more direct challenges as organisations adjust their compliance strategies. The outcome strengthens judicial oversight of the EDPB and could reshape the balance between national regulators and EU-level bodies in data protection governance.

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Structural friction, not intelligence, is holding back agentic AI

CIO leadership commentary highlights that many organisations investing in agentic AI, autonomous AI agents designed to execute complex, multi-step tasks, encounter disappointing results when deployments focus solely on outcomes like speed or cost savings without addressing underlying system design challenges.

The so-called ‘friction tax’ arises from siloed data, disjointed workflows and tools that force employees to act as manual connectors between systems, negating much of the theoretical efficiency AI promises.

The author proposes an ‘architecture of flow’ as a solution, in which context is unified across systems and AI agents operate on shared data and protocols, enabling work to move seamlessly between functions without bottlenecks.

This approach prioritises employee experience and customer value, enabling context-rich automation that reduces repetitive work and improves user satisfaction.

Key elements of such an architecture include universal context layers (e.g. standard protocols for data sharing) and agentic orchestration mechanisms that help specialised AI agents communicate and coordinate tasks across complex workflows.

When implemented effectively, this reduces cognitive load, strengthens adoption, and makes business growth a natural result of friction-free operations.

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Enterprise AI security evolves as Cisco expands AI Defense capabilities

Cisco has announced a major update to its AI Defense platform as enterprise AI evolves from chat tools into autonomous agents. The company says AI security priorities are shifting from controlling outputs to protecting complex agent-driven systems.

The update strengthens end-to-end AI supply chain security by scanning third-party models, datasets, and tools used in development workflows. New inventory features help organisations track provenance and governance across AI resources.

Cisco has also expanded algorithmic red teaming through an upgraded AI Validation interface. The system enables adaptive multi-turn testing and aligns security assessments with NIST, MITRE, and OWASP frameworks.

Runtime protections now reflect the growing autonomy of AI agents. Cisco AI Defense inspects agent-to-tool interactions in real time, adding guardrails to prevent data leakage and malicious task execution.

Cisco says the update responds to the rapid operationalisation of AI across enterprises. The company argues that effective AI security now requires continuous visibility, automated testing, and real-time controls that scale with autonomy.

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ChatGPT begins limited ads test in the US

OpenAI has begun testing advertisements inside ChatGPT for some adult users in the US, marking a major shift for the widely used AI service.

The ads appear only on Free and Go tiers in the US, while paid plans remain ad free. OpenAI says responses are unaffected, though critics warn commercial messaging could blur boundaries over time in the US.

Ads are selected based on conversation topics and prior interactions, prompting concern among privacy advocates in the US. OpenAI says advertisers receive only aggregated data and cannot view conversations.

Industry analysts say the move reflects growing pressure to monetise costly AI infrastructure in the US. Regulators and researchers continue to debate whether advertising can coexist with trust in AI systems.

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US lawsuits target social media platforms for deliberate child engagement designs

A landmark trial has begun in Los Angeles, accusing Meta and Google’s YouTube of deliberately addicting children to their platforms.

The case is part of a wider series of lawsuits across the US seeking to hold social media companies accountable for harms to young users. TikTok and Snap settled before trial, leaving Meta and YouTube to face the allegations in court.

The first bellwether case involves a 19-year-old identified as ‘KGM’, whose claims could shape thousands of similar lawsuits. Plaintiffs allege that design features were intentionally created to maximise engagement among children, borrowing techniques from slot machines and the tobacco industry.

A trial that may see testimony from executives, including Meta CEO Mark Zuckerberg, and could last six to eight weeks.

Social media companies deny the allegations, emphasising existing safeguards and arguing that teen mental health is influenced by numerous factors, such as academic pressure, socioeconomic challenges and substance use, instead of social media alone.

Meta and YouTube maintain that they prioritise user safety and privacy while providing tools for parental oversight.

Similar trials are unfolding across the country. New Mexico is investigating allegations of sexual exploitation facilitated by Meta platforms, while Oakland will hear cases representing school districts.

More than 40 state attorneys general have filed lawsuits against Meta, with TikTok facing claims in over a dozen states. Outcomes could profoundly impact platform design, regulation and legal accountability for youth-focused digital services.

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AI governance takes focus at UN security dialogue

The UN will mark the fourth International Day for the Prevention of Violent Extremism Conducive to Terrorism on 12 February 2026 with a high-level dialogue focused on AI. The event will examine how emerging technologies are reshaping both prevention strategies and extremist threats.

Organised by the UN Office of Counter-Terrorism in partnership with the Republic of Korea’s UN mission, the dialogue will take place at UN Headquarters in New York. Discussions will bring together policymakers, technology experts, civil society representatives, and youth stakeholders.

A central milestone will be the launch of the first UN Practice Guide on Artificial Intelligence and Preventing and Countering Violent Extremism. The guide offers human rights-based advice on responsible AI use, addressing ethical, governance, and operational risks.

Officials warn that AI-generated content, deepfakes, and algorithmic amplification are accelerating extremist narratives online. Responsibly governed AI tools could enhance early detection, research, and community prevention efforts.

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EU challenges Meta over WhatsApp AI restrictions

The European Commission has warned Meta that it may have breached EU antitrust rules by restricting third-party AI assistants from operating on WhatsApp. A Statement of Objections outlines regulators’ preliminary view that the policy could distort competition in the AI assistant market.

The probe centres on updated WhatsApp Business terms announced in October 2025 and enforced from January 2026. Under the changes, rival general-purpose AI assistants were effectively barred from accessing the platform, leaving Meta AI as the only integrated assistant available to users.

Regulators argue that WhatsApp serves as a critical gateway for consumers AI access AI services. Excluding competitors could reinforce Meta’s dominance in communication applications while limiting market entry and expansion opportunities for smaller AI developers.

Interim measures are now under consideration to prevent what authorities describe as potentially serious and irreversible competitive harm. Meta can respond before any interim measures are imposed, while the broader antitrust probe continues.

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