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Morocco to spend $670mln to replenish livestock up to 2026

Morocco to spend $670mln to replenish livestock up to 2026

Zawya23-05-2025

RABAT - Morocco plans to spend 6.2 billion dirhams ($670 mln) on a 2025-2026 programme to replenish its livestock herd, which has been reduced following years of prolonged drought, agriculture minister Ahmed El Bouari said on Thursday.
Six years of drought caused mass job losses in the farming sector and reduced the cattle and sheep herds by 38% this year, compared to the last census nine years ago.
Under the recovery programme, 3 billion dirhams will be allocated in 2025 and 3.2 billion next year to measures including debt relief and restructuring for livestock farmers, as well as feed subsidies, Bouari told reporters.
The government also includes aid to farmers who retain breeding female livestock, along with veterinary campaigns, genetic improvement and artificial insemination, he said.
In February, authorities asked citizens to forgo the ritual of slaughtering sheep on the Eid Adha this year, to help restore the sheep herd.
(Reporting by Ahmed Eljechtimi; Editing by Kirsten Donovan)

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To avoid this, companies should use a layered defence strategy, retrain models frequently, and maintain human oversight to validate AI-driven alerts and decisions.' This warning resonates across the cybersecurity landscape. Daccache echoes the concern, emphasising the need for transparency and control. 'Over-relying on AI, especially when treated as a black box, carries real risks. Adversaries are already targeting AI systems — from poisoning training data to crafting inputs that exploit model blind spots,' he explains. 'Without the right guardrails, AI can produce false positives or inconsistent decisions that erode trust and delay response.' Daccache stresses that AI must remain a tool that complements — not replaces—human decision-making. 'AI should be an extension of human judgement. That requires transparency, control, and context at every layer of deployment. High-quality data is essential, but so is ensuring outcomes are explainable, repeatable and operationally sound,' he says. 'Organisations should adopt AI systems that accelerate outcomes and are verifiable, auditable and secure by design.' Gu adds that blind spots in AI models can lead to serious lapses. 'AI systems are not infallible,' he says. 'Over-reliance can lead to susceptibility to adversarial inputs or overwhelming volumes of false positives that strain human analysts. To mitigate this, organizations should adopt a human-in-the-loop approach, combine AI insights with contextual human judgment, and routinely stress-test models against adversarial tactics.' Gu also warns about the evolving tactics of bad actors. 'An AI provider might block certain prompts to prevent misuse, but attackers are constantly finding clever ways to circumvent these restrictions. This makes human intervention all the more important in companies' mitigation strategies.' Governing the Double-Edged Sword As AI continues to embed itself deeper into global digital infrastructure, the question of governance looms large: will we soon see regulations or international frameworks guiding how AI is used in both cyber defense and offense? Lozhkin underscores the urgency of proactive regulation. 'Yes, there should definitely be an international framework. AI technologies offer incredible efficiency and progress, but like any innovation, they carry their fair share of risks,' he says. 'At Kaspersky, we believe new technologies should be embraced, not feared. The key is to fully understand their threats and build strong, proactive security solutions that address those risks while enabling safe and responsible innovation.' For Daccache, the focus is not just on speculative regulation, but on instilling foundational principles in AI systems from the start. 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'As AI becomes integral to both defence and offense in cyberspace, regulatory frameworks will be necessary to establish norms, ensure transparency, and prevent misuse. We expect to see both national guidelines and international cooperation similar to existing cybercrime treaties emerge to govern AI applications, particularly in areas involving privacy, surveillance, and offensive capabilities.' Echoing this sentiment, Hirvimies concludes by saying that developments are already underway. 'Yes. Regulations like the EU AI Act and global cyber norms are evolving to address dual-use AI,' he says. 'We can expect more international frameworks focused on responsible AI use in cyber defence, limits on offensive AI capabilities, and cross-border incident response cooperation. At QuantumGate, we've designed our products to support this shift and facilitate compliance with the country's cryptography regulations.'

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