AI agents represent the biggest opportunity and the biggest threat to organizations everywhere. Rubrik, Inc., the Security and AI Operations Company, today announced the launch of the Rubrik Agent Cloud to accelerate enterprise AI agent adoption while managing risk of AI deployments.

AI transformation is now mandatory for most organizations. However, IT leaders are constrained because Agentic AI has significant risks including hallucination as well as compromise by threat actors. Rubrik Agent Cloud is designed to monitor and audit agentic actions, enforce real-time guardrails for agentic changes, fine-tune agents for accuracy and, finally, undo agent mistakes. Built on the Rubrik Platform that uniquely combines data, identity and application contexts, Rubrik Agent Cloud gives customers security, accuracy, and efficiency as they transform their organizations into AI enterprises.

“IT and security leaders often don’t know what their AI agents are doing or how to undo their mistakes. Rubrik wants to help them answer: ‘What agents do I have?’ ‘What are they capable of doing?’ ‘How are they performing?’ ‘What did they do?’ and ‘Can I undo that when they screw up?’ said Bipul Sinha, CEO, Chairman, and Co-Founder of Rubrik. “AI agents have the potential to cause 10x the damage in 1/10 of the time. With Rubrik Agent Cloud, we uniquely address this challenge by leveraging our leadership in data, identity, and resilience to help our customers deploy AI agents with peace of mind.”

Accelerate Enterprise AI Deployment and Resilience 

Rubrik Agent Cloud will offer comprehensive agent management capabilities that encompass the entire AI agent lifecycle – from observability and control to performance management and simulation. 

• Agent Monitor:
  • Auto-discovers both infrastructure-as-a-service (Azure/AWS) agents as well as platform-as-a-service (M365/AgentForce) agents. 

○ Automatically discovers and maps active agents across popular agent builders such as OpenAI, Microsoft Copilot Studio, Amazon Bedrock and other popular agent building tools. 

○ Continuously monitors agent activity and data access, and maintains immutable audit trails capturing context from data, identity, and applications. 

• Agent Govern:
  • Tracks agent usage, evaluates performance against prompts, and gives teams the tools to control destructive/undesired actions.

○ Defines and enforces agent behavior, access, and action policies in real-time. 

○ A centralized tool to provide integration with enterprise identity systems—helping ensure secure, compliant, and controlled innovation.

• Agent Remediate:
  • Announced in August 2025, Agent Rewind integrates with Rubrik Security Cloud to provide the industry’s only solution for precise time and blast radius rollback of undesirable or destructive actions.

○ Goes beyond observability to allow organizations to instantly undo unwanted or destructive actions, without any downtime or data loss. 

○ Selective rollback of agent-driven changes ensures continuous protection for critical data and systems, and immutable recovery.

Consumer demand in the Middle East is rising fast, driven by omnichannel shopping habits and the expectation of speed and accuracy. AI-powered automation has become essential for retailers to keep up. McKinsey projects AI contribute up to $150 billion to GCC economies by 2030, while the UAE’s retail sector is forecast to reach $74.87 billion by 2028. Yango Tech has outlined four key tools retailers can use to succeed in this environment.

1. AI Agents

AI agents are transforming retail with several capabilities. On the front end, they deliver contextually relevant recommendations in real time, tailoring offers based on location, cultural moments, or the weather, while conversational AI enriches the journey with human-like assistance in native languages. They also harness predictive capabilities by analysing unstructured data, from social media to past purchase behaviour, to anticipate shifts in demand and refine pricing or promotional strategies. Ahead of Eid Al-Adha, for instance, they might spotlight premium meat cuts or traditional Arabic sweets, helping retailers unlock revenue increases of 10–15%.

Beyond customer-facing roles, AI agents drive efficiency behind the scenes. Procurement agents compose RFPs, compare vendor offers, and execute sourcing decisions directly in procurement systems, saving up to 80% of manual effort. Replenishment agents forecast inventory gaps, adjust orders dynamically, and use computer vision to redistribute stock or reroute deliveries, boosting accuracy to 95% and cutting waste. Content management agents accelerate time-to-listing by auto-generating product cards, adapting content to trends, and ensuring consistency across markets. Pricing agents track competitor SKUs and demand elasticity in real time, optimising promotions and delivery fees to protect margins while sustaining competitiveness.

2. Smart Price Tags

Price intelligence has become crucial for staying competitive with today’s informed and price-sensitive shoppers. Dynamic pricing algorithms can review millions of products in minutes, optimising strategies at a speed human decision-making cannot match. By applying ML to track competitor pricing, market trends, and demand elasticity, retailers can adjust prices in real time, boosting gross merchandise value by up to 20%. These systems also factor in seasonal shifts, fluctuating supply costs, and product shelf life, while surge pricing AI manages delivery fees or order values during peak periods to protect margins. Digital twin technology strengthens this further by creating virtual replicas of stores, streaming data from sensors and cameras into pricing systems. This real-time visibility into shelves and product movement ensures that pricing decisions are tied directly to availability, enabling retailers to reduce waste, streamline operations, and maintain customer trust while driving profitability.

3. Computer Vision

Computer vision (CV) is redefining how retailers manage store layouts and product assortments by moving beyond static, manually updated plans. Instead of relying only on historical sales data, AI agents equipped with CV analyse real-time customer traffic and interactions to continuously optimize shelf arrangements and product placement. This creates store environments that adapt dynamically to shopper behaviour, boosting sales and improving the overall experience. CV also provides granular insights into store-specific conditions, from equipment to layout constraints, enabling smarter decisions. Beyond the shop floor, warehouses use CV to monitor dispatch accuracy, logistics teams track the condition of trucks in transit, and managers can oversee staff performance in real time. Paired with augmented reality, the technology also delivers richer customer engagement, allowing shoppers to virtually try on clothes or visualize furniture directly in their homes.

4. Robotic automation

Robotics is moving from concept to necessity in retail. In warehouses, robotic pickers trained through behavioural cloning by human experts and thousands of real-world warehouse scenarios reach up to 95% picking accuracy. With the repetitive warehouse tasks taken over, staff can focus on higher-value work and boost productivity.

Autonomous delivery robots are also emerging as practical solutions for dense urban areas. Equipped with high-precision navigation, they operate 24/7 and cut emissions compared to traditional vehicles. They complement existing fleets by reaching locations where larger vehicles cannot, supporting zero-emission urban logistics. As battery technology and urban infrastructure advance, their role in retail operations will continue to expand.

The UAE’s Artificial Intelligence (AI) market is forecast to hit Dh170 billion (USD 46.33 billion) by 2030, according to new data from Grand View Research (GVR) in a study that underscores the country’s accelerating dominance in the region’s USD 166 billion (Dh610 billion) AI boom.

Close on the heels of the UAE unveiling its first Arabic-language AI model earlier this year, the new research by the California headquartered- firm reveals that the MENA AI market, valued at USD 11.92 billion (Dh43.7 billion) in 2023, is set to expand almost fifteen-fold to USD 166.33 billion (Dh610 billion) by 2030, growing at an annual rate of 44.8 percent.

“The Middle East, and especially the UAE, is no longer just an adopter of global AI technologies – it’s, in fact, shaping its own playbook,” said Swayam Dash, Managing Director at Grand View Research. “With sovereign funds backing innovation, and policies like the UAE’s new Strategic Plan 2031 leading the way with focus on utilising artificial intellegence in achieving greater financial efficiency for the federal government, the region is becoming a laboratory for how AI can drive both governance and growth.”

GVR’s report further highlights that nearly three in four UAE companies have maintained or increased their AI investments in the past year. Machine learning and deep learning remain the backbone of this transformation, particularly in healthcare, logistics, and financial services.

According to the report, the AI in Healthcare market in the Middle East and Africa, valued at USD 193.1 million (Dh 709 million) in 2023, is projected to reach USD 1.47 billion (Dh 5.39 billion) by 2030 growing at a CAGR of 33.6 per cent, while the region’s legal AI sector – currently at USD 43.3 million (Dh 159 million) – is expected to almost triple to USD 121.5 million (Dh 446 million) at a CAGR of 18 per cent over the same period.

“The release of region-specific AI metrics for the first time quantifies what many have sensed – that the UAE and its neighbours are at the tipping point of a generational transformation,” Dash added. “And the next wave of opportunity will come from specialisation. Sectors like healthcare and legal technology are still emerging here and hence the potential is immense. With the AI in regional healthcare market alone projected to touch USD 8.39 billion (AED 30.8 billion) by 2033, we’re looking at a decade of exponential growth. Likewise, the legal AI space, though currently small, represents a first-mover opportunity in digitising governance, compliance, and regulatory frameworks – areas where the Middle East can define its own benchmarks rather than follow global ones.”

The study also notes how the MENA region is further emerging stronger as one of the world’s most dynamic AI frontiers driven particularly by government-led digital transformation agendas, rapid urbanisation, and the rollout of AI-enabling technologies such as 5G, cloud, and IoT,

“Machine learning and deep learning continue to dominate adoption across smart-city initiatives, healthcare, and urban management ­– with the UAE leading the charge in real-world integration,” said Dash.

The full Grand View Research MENA AI Market Report offers an in-depth analysis of these evolving trends, uncovering how data, policy, and innovation are converging to redefine the region’s digital economy.