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Wednesday, October 07, 2026

SILVER LINING

Iran War Pushes 25 Countries Into New Electrification Policies

  • COP31 in Türkiye will ask countries to meet 35 percent of global energy demand with electricity by 2035, up from 23 percent today.

  • The Hormuz closure that followed the Iran war has pushed about 25 countries to adopt structural electrification policies since March, with emerging economies outpacing the U.S. on clean energy.

  • Grids are the bottleneck: the IEA says 80 million kilometers of new or retrofitted lines are needed by 2040, and 50 to 60 percent of renewable projects in Vietnam, Thailand and Indonesia were canceled or delayed from 2021 to 2025.

Electrification has become the focus of global climate talks as COP31 draws closer. We already have the technologies to transition away from direct consumption of fossil fuels and toward electricity in our vehicles, homes, businesses, and industry – it is now just a matter of scaling those technologies and doing it at an unprecedented pace, supported by strong policy measures from global leadership. 

The central pledge that will be on the table at the upcoming 31st annual United Nations climate conference, to be hosted in Türkiye in November, will call on participating states to commit to meeting  35 per cent of global energy demand with electricity by 2035. As of today, electricity accounts for 23 percent. While this goal is ambitious, leaders claim that it is within “striking distance” if global leaders make a targeted effort to fast-track their electrification transitions. 

And the factor that has put this target within reach is perhaps a surprising one – the war in Iran. When the United States and Israel began their military offensive against Iran in February of this year, Iran responded by closing down the Strait of Hormuz – through which one-fifth of the world’s oil and gas trade flowed on any given day – essentially overnight. The sudden disappearance of 18 million barrels per day from the global marketplace caused enormous energy shocks around the world, and especially in cash-poor, import-dependent developing economies.

The result has been that some of the world’s emerging economies have turned their energy security stratgies around on a dime, turbocharging their clean energy transitions to provide reliable and indigenous energy sources and buffer themselves from future global oil and gas shocks. Since March, approximately 25 countries have introduced structural policies to boost electrification, according to Australia’s ABC News. As a result, many of the world’s developing economies – and even some of the poorest – are now outpacing the richest nation in the world when it comes to clean energy development and electrification.

Over the last several years, countries including Brazil, Chile, El Salvador, Morocco, Kenya, and Namibia have all overtaken the United States – the world’s largest economy – in their respective clean energy transitions. At the end of 2025, 63 percent of emerging markets in Africa, Asia, and Latin America sourced more of their power generation from solar power than the United States, according to a report from Yale 360. Meanwhile, Pakistan is experiencing one of the most rapid clean energy transitions in global history, and possibly the most rapid buildout of solar power capacity ever. 

This development marks a sudden and critical sea change in our global understanding of energy security. “This moment demands attention,” Time Magazine reported in June. “Across the U.S. and globally, interest in clean energy is accelerating faster than at any point in history, and not necessarily because of anything the clean energy movement achieved on its own. Understanding why is critical.” 

The reason is simple. Oil and gas no longer represent a reliable and affordable source of energy for many countries as geopolitical turmoil becomes the new normal in fossil fuel markets. In contrast, “Wind and solar cannot be embargoed, blockaded, or shut off by a foreign power,” David Frykman, General Partner at Stockholm-based venture capital group Norrsken, wrote in an op-ed for Fortune in late March of this year. “Every terawatt-hour of domestic renewable generation is a terawatt-hour that no adversary can weaponize.” Moreover, renewables have quite simply become too cheap to fail.

While this is all extremely heartening news against the ever-more urgent context of climate change and the need for rapid global adaptation, this sudden clean energy production boom has led to critical bottlenecks, particularly when it comes to grid connectivity and transmission infrastructure. The International Energy Agency projects that more than 80 million kilometres of additional or retrofitted grid infrastructure will be needed by 2040, essentially requiring the world’s existing grid capacity to double over the next 15 years.

This has already created some major pain points in economies where the development of these ‘arteries of the clean energy age’ has not kept pace with rapid renewable buildout. For example, a large number of planned renewable energy projects across Southeast Asia – one of the regions hit hardest by the Hormuz closure – have stalled out in recent years. A report from consultancy Bain & Company and Standard Chartered notes that, from 2021 to 2025, between 50 percent and 60 percent of renewable energy projects in Vietnam, Thailand and Indonesia were cancelled or delayed.

"The fact that we now have record growth in renewables and that we have record numbers when it comes to sales of EVs means that we have to build out the grid faster," Jan Rosenow, a professor of energy and climate policy at Oxford University, told ABC News. However, "That's not an indicator that the transition is failing," she added. "We can build a bigger grid. The question is, how fast can we do it?"

By Haley Zaremba for Oilprice.com 


The 'death' of back-office jobs: office work in the AI storm

According to research, women are more at risk from the "onslaught" of AI in office jobs.
Copyright Symela Touchtidou, created with AI tools
By Symela Touchtidou
Published on

From insurance payouts to banking, AI is taking over tasks that once took hours or days of human work – which office jobs are first in line for automation?

Two years ago, processing a health insurance claim at one of Greece's largest insurance companies took on average 14 days. Medical opinions, test results, invoices and policy details all had to be checked and cross-referenced before payment was given the green light.

Today, the processing time has been cut to around one minute and the compensation is paid out the following day.

Driving this change is AI Flows, an artificial intelligence tool for document processing and workflow automation developed by the Greek company Archeiothiki. The system handles around 1,500 claims a day, "reads" the documents, extracts the necessary information and cross-checks it against the policy and the insurance company's rules.

Above all, though, it enables something that was previously practically impossible: checking 100% of cases rather than just a sample. This makes it possible to spot potential fraud that would otherwise have gone unnoticed.

The example of the Greek insurer offers a snapshot of a much broader transformation unfolding in offices across Europe.

From 16 hours to a few minutes

In banking, similar technology is used to assess the ESG (environmental, social governance) criteria of companies seeking finance.

The process involves around 300 questions. To verify the answers, staff must hunt for data in company reports running to hundreds of pages, ranging from the ratio of men to women to information on environmental performance and corporate policies.

This check used to require about 16 hours of human labour. Now, an AI system can search for the necessary information even in reports running to 400 or 500 pages, identify the relevant passages and process them in a fraction of the time.

The final assessment of ESG criteria influences the interest rate at which the company will be financed.

Jobs on the frontline

Archeiothiki currently applies AI Flows to around 100 different workflows for ten clients, mainly banks, insurance companies and businesses in the healthcare sector.

But what is happening in Greece is far from unique.

Office roles that have traditionally formed the back office of companies are among those most exposed to the new generation of artificial intelligence.

According to the report "Generative AI and Jobs: A Refined Global Index of Occupational Exposure", published in May 2025 by the International Labour Organization (ILO) and the Polish research institute NASK, administrative and clerical occupations remain the category of jobs most exposed to generative AI.

Among the most exposed roles are data entry clerks, staff involved in accounting and bookkeeping, and administrative secretaries. In high-income economies, roughly one in three jobs shows some degree of exposure to generative AI.

Artificial intelligence has already entered European workplaces on a large scale. According to the study "Digital Monitoring, Algorithmic Management and the Platformisation of Work in Europe" by the Joint Research Centre of the European Commission, published in October 2025, 30% of workers in the EU already use AI tools in their jobs. Use is particularly high in office work.

The transition also has a clear gender dimension. More recent ILO research shows that occupations where women are in the majority are almost twice as likely to be exposed to generative AI as those where men predominate: 29% compared with 16%.

One key reason is the greater presence of women in administrative, clerical and support roles.

"I will not hide it. There are jobs that are lost too," was the response of Archeiothiki executives when asked about this by Euronews.

The picture they sketch, however, is more complex. In many cases, automation is not used simply to carry out the same volume of work with fewer people. It allows companies to take on tasks that were previously practically impossible to perform at this scale.

One client, for instance, had around 50 people working on a single process and still built up a year-long backlog. In other cases, where only a sample of cases could previously be checked, now the entire set can be examined.

This aligns broadly with the ILO's assessment. The organisation warns that the "exposure" of a job to artificial intelligence does not necessarily mean that role will disappear. Few occupations consist solely of tasks that can currently be fully automated. For this reason, the most likely outcome for now is the transformation of jobs rather than their complete replacement.

The next data reservoir: the public sector

In Greece, the next major field may lie in the millions of documents that have already been digitised in the public sector.

According to Archeiothiki's chief executive, Andreas Papadakis, the company has carried out around 15% of the relevant digitisation projects for the state.\\\

The problem is that much of this new digital archive remains effectively "blind". Physical documents were turned into digital files and given basic metadata so they could be searched. Their content, however, was not necessarily converted into structured data that can be analysed and put to use.

The first stage of digitisation was to turn mountains of paper into digital files. The next stage is already under way.

AI systems are no longer confined to reading and recording documents, but can extract information, cross-check it and execute entire workflows.

This shifts automation away from repetitive data-entry tasks to a much larger portion of the traditional back office.

German publishers call for AI regulation over copyright concerns

06.10.2026, DPA

Photo: Boris Roessler/dpa

German publishers called on Tuesday for artificial intelligence to be regulated amid concerns that AI companies are using copyrighted works to train their language models.

The German Publishers and Booksellers Association used the occasion of the opening of the Frankfurt Book Fair, the world's largest such event, to publish their "Frankfurt Appeal," which has thus far been signed by 120 publishers.

The declaration is addressed to the European Commission, the European Parliament and the German government. The signatories are calling for transparency regarding the works used to train AI systems, fair licensing models and effective mechanisms for enforcing copyright.

"AI companies train their models on copyright-protected works without the consent of publishers and authors, exploit valuable products without remuneration and to date have largely acted with impunity, even when unlawfully disregarding express rights reservations by rightsholders," the appeal says

Sebastian Guggolz, chairman of the German Publishers and Booksellers Association, said copyright holders had to search extensively for evidence themselves and enforce their claims through costly legal proceedings.

He called for "swift and decisive action by policymakers."

The Frankfurt Book Fair opens on Wednesday and runs until Sunday.


AI or not? Google launches SynthID website to help detect AI content

07.10.2026, DPA

Photo: Andrej Sokolow/dpa

Google is launching an AI detector to let users check if images, videos or audio files were created with the company's AI tools.

The SynthID detector searches for evidence of Google's invisible digital watermarks that are embedded in AI content. As well as content from Google Gemini, Imagen, Lyria and Veo, content from partners such as OpenAI (ChatGPT), Nvidia, Kakao and soon also Apple can be detected.

One thing to always bear in mind: The detector only recognizes whether a SynthID is present. This means it won't be able to detect AI-generated content in every case.

By no means all AI-generated content is marked with digital watermarks such as SynthID. Since the introduction of SynthID in 2023, more than 180 billion images, videos or audio files have been marked, according to Google.

OpenAI, the company behind ChatGPT, also has a similar tool online. It can be used to examine images or audio files for evidence of whether they were produced using OpenAI tools.


What to know about Mistral's ML4 as it bets on EU sovereignty in the US-China open-weight AI race

File - Arthur Mensch, cofounder and CEO of Mistral AI, attends the UK Artificial Intelligence (AI) Safety Summit in Bletchley, England on Nov. 2, 2023.
Copyright Toby Melville/Pool Photo via AP, File

By Pascale Davies
Published on

Known as “Le Chonk,” the new frontier AI offering from French company Mistral says it will be the strongest open-weight AI outside China, as it bets that European "sovereignty" can win customers in a race increasingly framed as US versus China.

French artificial intelligence champion Mistral AI on Tuesday launched a public preview of a new frontier model that it says will be the most capable open-weight model developed outside China once its weights are released

The launch comes as the race over open-weight AI, in which a model's parameters can be downloaded and run by anyone, has taken on a geopolitical edge.

Chinese developers have set the pace, while many American companies, such as OpenAI, keep their most capable systems closed. Meanwhile, the debate over safety has grown since AI agents have been found to go rogue and hack websites.

Mistral is betting that its new open-weight model, called ML4, which has strong defence capabilities, will attract customers who want a European alternative built around "sovereignty."

Here is everything to know about the model.

ML4, nicknamed "Le Chonk," meaning the large chunky one, is "a new generation of models," Guillaume Lample, chief scientist and co-founder of Mistral, said in a press conference that Euronews attended.

The model focuses on cybersecurity and defence capabilities, which the company claims are stronger than those of its Chinese competitors.

“The cyber defence capabilities will enable enterprises and governments to defend themselves against threat actors that are jailbreaking closed models to perform cyber attacks,” said Lample.

Mistral’s launch comes just a day after Reflection, a US startup, unveiled Beam as its first open-weight model and a Western counterweight to Chinese open models. Its weights are due later this month, and its performance claims have not been independently verified.

The rogue AI agents

Pierre Stock, Mistral's first employee and vice president of science, said that building a new AI model was "like building a spaceship".

He said every AI company is "moving at full speed". Though Mistral is only three years old, it is "definitely closing the gap" with its competitors, and in some aspects its new model is "basically stronger than China’s models from this summer," he said.

Last month, the company announced it raised €3 billion at a valuation of more than €21 billion, which it says is the largest equity round ever completed by a European technology company.

The model's release also comes as AI companies report AI agents acting on their own and hacking websites.

Stock argued that this has created a narrative for US companies to "market rogue events" as "only a few trusted players can take care of the technology."

He added that the "monopoly is controlled by the Americans but that open-weight models allow people to access models."

The company also said it leads open-weight models on manufacturing and finance tasks and on multimodal use, and that in coding it is closing the gap with other frontier models. Mistral also claimed the best results of any model — closed ones included — on grounding capabilities, and top-level performance on semiconductor benchmarks.

The French company said ML4 will get better, as training is not finished and reinforcement learning will conclude in the coming days.

Made in Europe

Mistral said ML4 was trained from scratch over two months on 4,000 NVIDIA Grace Blackwell GPUs in its own European data centres.

ML4 covers more than 160 languages, including every official EU language, and works across Latin and non-Latin scripts

When will it be available?

The model is now available through Mistral's API on Mistral Studio. Mistral plans to release the weights on October 27.

Until then, developers, cybersecurity leaders and state authorities will be able to test the model in real-world settings.


Trump's 'super intelligence' rebrand keeps Slovenian domain sales surging

AP Photo
Copyright Copyright 2026 The Associated Press. All rights reserved]

By Jonathan Benton
Published on

Slovenia has struck digital gold, courtesy of the White House. Since US President Donald Trump signed an executive order rebranding artificial intelligence as "super intelligence"or "SI", buyers have been scrambling for the country's .si web domains.

Users around the world are rushing to buy .si domains in anticipation of businesses needing to switch their branding from artificial intelligence to super intelligence or “SI”, following an executive order by Donald Trump

The US President officially renamed artificial intelligence to “super intelligence” after hosting a summit of America’s leading AI companies.

According to web hosting company Hostinger, 22,800 domains have been registered by 8,000 buyers since Trump first made his comments at the UN on 23 September.

Activity peaked during the first two days of October, with 5,300 registrations made each day.

Traffic slowed during the weekend to 2,246 registrations on Saturday and 2,804 on Sunday, albeit these figures are five times the pre-order daily average of roughly 520.

Growth is expected to pick up again this week.

Users from the US and India made up about half of all registrations, recording 5,640 and 5,560 respectively, with Morocco coming in third at roughly 1,320 domains and ahead of the UK, UAE and Canada.

Buyers in Morocco average 4.9 domains each versus 2.8 overall, which suggests people are buying domains to resell later.

Despite this glut of activity, the domains being registered have little to do with artificial intelligence, with just 3% of registrations including explicit AI terms.

Meanwhile shorter names are the most registered at 13%, followed by tech.

Source: Hostinger
Source: Hostinger Source: hosting

Trump first mentioned his preference for super intelligence over artificial intelligence during a speech at the UN general assembly just two weeks ago. He argued that “artificial” makes it sound fake when it is actually “amazing,” claiming that “super intelligence" is a more accurate description.

Top AI companies have not publicly opposed Trump's push to rebrand AI as SI. Elon Musk went further, later announcing that his AI company, SpaceXAI, would become SpaceXSI.

Since then, users around the world have been rushing to purchase digital real estate — in this case, domains — using artificial intelligence’s new SI moniker.


AI Can Shop, It Should Not Set Its Own Budget – OpEd


The essay says September made agentic shopping real: Meta’s Muse topped U.S. and Canadian app charts and was blocked by Amazon; Mastercard Agent Connect and a planned India UPI agent system add rails, while NatWest, Bank of America, and ING warned on Sept. 22 about fraud and privacy.

Visa research cited finds only 23% of U.S. consumers trust generative AI to pay for them; a Guardian report said Muse shared a user’s home address and booked a Marketplace pickup without his knowledge.

The rule offered is that agents may search and reorder staples inside limits they cannot rewrite—caps, merchants, expiry, no self-delegation—while discretionary buys stay with the person.


Agentic commerce is moving from recommendations to transactions. Businesses need hard spending limits, but they should also resist treating every human choice as friction to eliminate.

September turned agentic commerce from a product demo into a market contest. Meta’s Muse can shop, book travel, fill forms and keep working after a user closes the app. Reuters reported that Muse quickly rose to the top of U.S. and Canadian app-store rankings, while Amazon blocked the agent from shopping on its site. Mastercard Agent Connect is connecting merchants, agents, platforms and payment providers, and India is preparing agentic payments on UPI with spending limits, identity checks and liability rules.

This is no longer mainly a question about whether AI can help people shop. It can. The harder business question is how much authority to hand over once an agent can create a real obligation, and how much ordinary human choice we should be eager to automate away.

Banks are already asking the first half of that question. On September 22, NatWest, Bank of America, ING and other financial institutions warned that AI shopping agents could increase fraud, scam and privacy risks and called for stronger safeguards, transparency, interoperability and consumer choice. The commercial transition is larger than a new checkout button. Software that once compared prices or summarized an invoice is beginning to acquire the ability to pay, subscribe, reserve and procure.

The first rule should therefore remain simple: an AI agent should never be able to set or expand its own spending limits.

The payment credential is only one layer


Payment networks are building useful safeguards around agentic transactions. Mastercard describes verifiable intent for consumer-authorized purchases. Visa’s agentic-commerce work emphasizes spending controls, authentication and trusted identity. Those mechanisms can help establish that a transaction came from an authorized agent and matched a defined payment instruction.

Corporate authority sits one level above that transaction. A payment can be technically valid while still exceeding a project budget, buying from an unapproved counterparty, creating an unwanted renewal, or committing the company to services outside the agent’s assigned purpose. The payment rail can enforce the instruction it receives. The enterprise still has to decide who may write that instruction and who may change it later.

That distinction already exists in financial regulation. The U.S. Securities and Exchange Commission’s market access rule requires covered broker-dealers to maintain controls designed to prevent orders that exceed preset credit or capital thresholds and certain erroneous orders. Its legal scope is specific, but the control logic travels well: consequential transaction authority should sit behind limits administered independently from the actor using that authority.

Build the authority map before the wallet

A business preparing to deploy financial agents should map authority before it maps features. Reading an invoice, recommending a payment, executing a payment, creating a contractual commitment and delegating work to another agent are different permissions. Each should have a purpose, an accountable owner, an expiry condition and a limit the agent cannot rewrite.

The control plane should express more than a single dollar ceiling. It may need merchant restrictions, transaction categories, time windows, cumulative exposure, geographic limits, renewal rules and approval requirements for exceptions. Those controls should be stored and enforced outside the agent’s own execution environment. Revoking a permission should not require the agent’s cooperation.

Cumulative exposure deserves particular attention. One hundred small purchases can create a larger obligation than a single blocked purchase. Several agents working for the same department can do the same thing in parallel. Delegation should carry the original restrictions forward rather than quietly creating a fresh allowance.

Some friction is worth keeping

The second half of the problem is more human. The industry’s language often treats friction as a defect: fewer clicks, fewer approvals, fewer reasons to leave the sofa. That is useful when the task is repetitive. Nobody needs a ceremony around reordering printer paper, renewing an approved software seat or replenishing a household staple.

But not every act of choosing is wasted time. Shopping can also be comparison, curiosity, taste, conversation, a walk through a neighborhood, a visit to a local store, or simply the pleasure of deciding for oneself. Businesses should be careful about designing a future in which every ordinary choice is converted into an optimization problem and then delegated because delegation is technically possible.

Visa’s September consumer research captures the hesitation. It found that while AI assistants are already widely used for product discovery, only 23 percent of U.S. consumers said they trusted generative AI to handle payment transactions on their behalf. That gap suggests people may welcome help narrowing choices without wanting the final act of choosing to disappear.

The boundary can become unexpectedly personal. On September 28, The Guardian reported that a Meta Muse user discovered that the agent had shared his home address and arranged a Facebook Marketplace pickup without his knowledge. The incident concerned privacy and permission rather than a corporate budget, but the business lesson is the same: a task that sounds simple can contain smaller decisions about price, identity, location and human interaction that the user may never have meant to delegate.

A mature agentic-commerce model should therefore preserve an easy human off-ramp. Let the agent search, compare and prepare. Let it automate routine purchases inside a narrow envelope. For discretionary purchases, unfamiliar merchants, meaningful commitments or situations where the experience itself matters, keep the person visibly in the loop. Convenience is valuable. Choice is valuable too.

Automation still needs room to be useful

None of this requires a human to approve every coffee, cloud-compute charge or routine replenishment. Constant approval would erase much of the value of agentic commerce. Routine and reversible transactions can proceed automatically inside a defined envelope. New counterparties, material increases in exposure, unusual contract terms or purchases outside the assigned purpose can receive additional review.

The same design should include continuity. If the control service fails, a blanket payment freeze can interrupt wages, transportation, communications or other essential services. Organizations need a preauthorized fallback with smaller scope, known users and a defined expiration. A resilient control system can become stricter without becoming unusable.

Testing should focus on authority rather than conversational fluency. Can the agent exceed a monthly cap by splitting purchases? Can it regain a revoked permission? Can it route a transaction through another agent or payment method? Does a misleading invoice cause it to buy from the wrong counterparty? And when an agent recommends a purchase, can the user still understand the alternatives well enough to make a different choice?


The strongest evidence is preventative. A polished explanation after an unauthorized purchase is weaker than a control that blocked the purchase before money moved. Logs should preserve the authorization actually applied, including exceptions, so finance teams, auditors and counterparties can reconstruct why a commitment was permitted.

The global payment race is becoming an authority race

India’s planned UPI framework, the card networks’ agentic-commerce products, Meta’s rapid consumer push and the warnings from global banks all point in the same direction. The infrastructure for AI-initiated transactions is arriving before the governance model is settled. The commercial winners will not be determined only by which agent finds the lowest price or checks out fastest.

A useful agent must make its authority legible. The buyer should know how much it can commit, for what purpose, to whom, for how long and who can change those boundaries. Just as important, the buyer should be able to decide which parts of everyday life are worth delegating and which are worth keeping.

The point of automation should be to remove drudgery, not to turn human participation into a design flaw. If AI gives us time back, the best use of that time may sometimes be to step outside, look around, talk to someone and make a choice that no model needed to make for us.

The agent can shop. The budget must remain outside its control. Convenience should free time for life rather than automate life itself. We should remember that life happens in motion, and that some of its rewards still come from the effort of showing up.



About Burak Oktenli
Burak Oktenli holds an MBA and a Master of Professional Studies in Applied Intelligence from Georgetown University. His research addresses the governance of authority in autonomous and AI-enabled systems, and his writing has appeared at the Modern War Institute at West Point, RUSI, RealClearDefense, RealClearMarkets, and Geopolitical Monitor. He is the author of Authority Architectures for Autonomous Systems, a ten-volume series on how authority in autonomous systems is delegated, monitored and recovered, at authority-architecture.me.
View all posts by Burak Oktenli →

Friday, October 02, 2026

Moroccan intelligence accused of spying on journalists and human rights activists

Morocco’s domestic intelligence service has deployed Pegasus spyware and hidden cameras in a sweeping campaign of surveillance against journalists and human rights activists, according to a report by Amnesty International.


Issued on: 02/10/2026 - RFI

Pegasus spyware, once installed on a smartphone, can give its operator access to messages, photos, location data and other contents stored on the device. © Reuters

Amnesty said in their report released on Thursday that the apparatus operated by Morocco's domestic intelligence agency – the Direction Générale de la Surveillance du Territoire (DGST) – included Israel’s Pegasus spyware.

It also said phones were deliberately infected with malware and surveillance cameras secretly installed in private homes, and found there had been systematic interception of telephone calls.

The report draws on testimony from a former DGST employee, digital forensic evidence and internal documents from surveillance technology companies, including NSO Group, Hacking Team and Verint.

The Moroccan authorities have repeatedly denied using Pegasus and maintain that they respect the confidentiality of private communications.




A web of surveillance

The former DGST employee, identified by Amnesty under the pseudonym Safir, described an intelligence operation ranging from sophisticated remote hacking to methods requiring physical access to a target.

According to his testimony, journalists and activists were secretly filmed and recorded while in detention, in offices, cars and cafés – and even in their bedrooms.

Telephone calls were routinely intercepted and location data used to track targets and their associates, Amnesty said.

Safir also described arrangements with second-hand phone shops through which DGST agents could supply apparently new devices that had already been infected with spyware, giving the authorities access to their users’ communications.

Amnesty said the DGST also relied on cooperation from at least one Moroccan telecommunications provider.

Its investigation found that some Pegasus attacks were carried out through “network injection”, allowing targeted devices to be redirected towards spyware infrastructure while connected to the Maroc Telecom network.

The report says Morocco also purchased other surveillance systems over more than a decade.

The DGST and Morocco’s High Council for National Defence had contracts from at least 2009 with the Italian company Hacking Team, while Morocco also purchased Verint’s Reliant surveillance platform in 2014, according to internal records cited by Amnesty.

Pegasus targets

Amnesty said its analysis provided further evidence that the DGST began using NSO Group’s Pegasus spyware from September 2017.

Pegasus can give an operator extensive access to the contents of an infected smartphone, including messages, photographs, location information and the phone's microphone and camera.

Internal NSO documents disclosed during a US court case involving WhatsApp and its parent company Meta identified the Moroccan customer under the codename “Morgen”, Amnesty said.

Amnesty identified 103 Moroccan phone numbers entered into the Pegasus system between September and December 2017, including dozens belonging to human rights activists, journalists, lawyers and academics. It said the evidence showed civil society figures were among the DGST’s priority targets.

The NGO said Morocco used Pegasus between 2017 and 2021 and possibly later.

It called for an independent investigation into the DGST and urged governments to halt exports of intrusive surveillance technology to Morocco until stronger safeguards are in place.