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Cisco Highlights 2024 Cybersecurity Trends Ahead Of Black Hat MEA
The company has revealed a rise in identity-based and ransomware attacks during Q3, plus revealed its own AI-ready security solutions.
In the lead-up to Black Hat MEA 2024 in Riyadh (November 26-28), Cisco, a global leader in networking and security, has unveiled the critical cybersecurity trends observed during the third quarter of 2024. The insights, drawn from the research of Cisco Talos (the firm’s renowned threat intelligence team) point to a significant surge in identity-based and ransomware attacks.
Between July and September 2024, identity-focused attacks (most notably those targeting credential theft), surged, representing 25% of Cisco’s incident response cases. These types of intrusions have become increasingly prevalent due to the accessibility of simple-to-use hacking tools.
Meanwhile, ransomware attacks continued to dominate the threat landscape, constituting approximately 40% of cases. The quarter saw the emergence of several new ransomware variants such as RansomHub, DragonForce and RCRU64, in addition to recurring threats like BlackByte and Cerber.
Education, financial services and the manufacturing industry faced the brunt of these attacks, collectively accounting for over 30% of reported breaches. This pattern mirrors trends identified in earlier quarters of 2024, suggesting hackers are consistently and deliberately targeting these industries.
Salman Faqeeh, Managing Director of Cisco Saudi Arabia, stated: “The rise in identity-based attacks and persistent ransomware threats reflect the evolving cyber landscape. At Cisco, our priority is equipping customers with advanced security solutions to bolster their digital resilience.” He added, “Black Hat MEA is an ideal forum to share threat insights and unveil our innovations that mitigate identity-based attacks, prevent breaches, and close exploit gaps”.
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At Black Hat MEA 2024, Cisco will serve as a Strategic Sponsor under the theme “Innovating a New Era of Security,” showcasing its latest advancements in cybersecurity. A particular focus will be on securing AI-powered data centers and distributed environments, ensuring robust protection across all devices and applications.
Splunk, a cybersecurity company which is now part of Cisco, will also exhibit its own cutting-edge solutions, including next-generation Security Operations Centres (SOC) and tools for Operational Technology (OT) environments. Finally, Lothar Renner, Managing Director of Cisco Security, EMEA, is set to deliver a keynote titled “Redefining Security in the Age of AI,” spotlighting Cisco’s forward-looking approach to security in the evolving threat landscape.
Attendees at Black Hat MEA 2024 can visit Cisco at booth H1-T20 at the Riyadh Exhibition & Conference Centre between November 26-28.
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Nano Banana 2 Arrives In MENA For Google Gemini Users
Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.
Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.
The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.
Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.
The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.
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Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.
By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.
The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.
