Tech News

Cisco Reimagines Security for Data Centers and Clouds in Era of AI

Published

2 years ago

April 18, 2024

News Summary:
Cisco powers and secures AI-scale data centers and clouds, safeguarding every application and device regardless of distribution or connectivity.

In today’s highly distributed landscape, the window from vulnerability to exploitation is shrinking rapidly.
Defending against this complex threat environment is beyond human scale.
Cisco Hypershield enables customers to deploy security wherever needed: in the cloud, data center, factory floor, or hospital imaging room.
With AI-native security, customers can autonomously segment networks, enjoy distributed and instant exploit protection without patches, and experience self-qualifying software upgrades with zero downtime.

News in Detail:
Cisco, the leader in security and networking, today unveiled a radically new approach to securing data centers and clouds in response to the increasing demands the AI revolution has put on IT infrastructure. Cisco is rearchitecting how we harness and protect AI and other modern workloads with industry-first, Cisco Hypershield. With this unprecedented innovation, Cisco is tipping the scales in favor of defenders, building on its recent announcements to accelerate AI infrastructure with Cisco’s ethernet switching, silicon and compute portfolio.

Cisco Hypershield protects applications, devices and data across public and private data centers, clouds and physical locations – anywhere customers need it. Designed and built with AI in mind from the start, Hypershield enables organizations to achieve security outcomes beyond what has been possible with humans alone.

“Cisco Hypershield is one of the most significant security innovations in our history,” said Chuck Robbins, Cisco Chair and CEO. “With our data advantage and strength in security, infrastructure and observability platforms, Cisco is uniquely positioned to help our customers harness the power of AI.”

Hypershield is a revolutionary new security architecture. It’s built with technology originally developed for hyperscale public clouds and is now available for enterprise IT teams of all sizes. More a fabric than a fence, Hypershield enables security enforcement to be placed everywhere it needs to be. Every application service in the datacenter. Every Kubernetes cluster in the public cloud. Every container and virtual machine (VM). It can even turn every network port into a high-performance security enforcement point, bringing completely new security capabilities not just to clouds, but to the data center, on a factory floor, or a hospital imaging room. This new technology blocks application exploits in minutes and stops lateral movement in its tracks.

“AI has the potential to empower the world’s 8 billion people to have the same impact as 80 billion. With this abundance, we must reimagine the role of the data center – how data centers are connected, secured, operated and scaled,” said Jeetu Patel, Executive Vice President and General Manager for Security and Collaboration at Cisco.

“The power of Cisco Hypershield is that it can put security anywhere you need it – in software, in a server, or in the future even in a network switch. When you have a distributed system that could include hundreds of thousands of enforcement points, simplified management is mission critical. And we need to be orders-of-magnitude more autonomous, at an orders-of-magnitude lower cost.”

Security enforcement with Hypershield happens at three different layers: in software, in virtual machines, and in network and compute servers and appliances, leveraging the same powerful hardware accelerators that are used extensively in high-performance computing and hyperscale public clouds.

Hypershield was built on three key pillars:

• AI-Native: Built and designed from the start to be autonomous and predictive, Hypershield manages itself once it earns trust, making a hyper-distributed approach at scale possible.
• Cloud-Native: Hypershield is built on open source eBPF, the default mechanism for connecting and protecting cloud-native workloads in the hyperscale cloud. Cisco acquired the leading provider of eBPF for enterprises, Isovalent, earlier this month.
• Hyper-Distributed: Cisco is completely reimagining how traditional network security works by embedding advanced security controls into servers and the network fabric itself. Hypershield spans all clouds and leverages hardware acceleration like Data Processing Units (DPU) to analyze and respond to anomalies in application and network behavior. It shifts security closer to the workloads that need protection.

Cisco, with its industry-leading expertise in networking, security and extensive partner ecosystem, together with NVIDIA, is committed to building and optimizing AI-native security solutions to protect and scale the data centers of tomorrow. This collaboration includes leveraging the NVIDIA Morpheus cybersecurity AI framework for accelerated network anomaly detection, as well as NVIDIA NIM microservices for powering custom security AI assistants for the enterprise. NVIDIA’s class of converged accelerators combine the power of GPU and DPU computing, to augment Cisco Hypershield with robust security from cloud to edge.

“Enterprises across all industries are seeking the security that can protect them against ever expanding cyber threats,” said Kevin Deierling, Senior Vice President of Networking at NVIDIA. “Together, Cisco and NVIDIA are leveraging the power of AI to deliver powerful, incredibly secure data center infrastructure that will enable enterprises to transform their businesses and benefit customers everywhere.”

As a revolutionary new security architecture, Hypershield is solving three key customer challenges in defending against today’s sophisticated threat landscape:

• Distributed Exploit Protection: Attackers are adept at weaponizing newly published vulnerabilities faster than defenders can patch. With defenders seeing nearly 100 new vulnerabilities every day, according to Cisco Talos Threat Intelligence, this can lead to catastrophic results. Hypershield delivers protection in minutes by automatically testing and deploying compensating controls into the distributed fabric of enforcement points.
• Autonomous Segmentation: Once an attacker is in the network, segmentation is key to stopping their lateral movement. Hypershield perpetually observes, auto-reasons and re-evaluates existing policies to autonomously segment the network, solving this in large and complex environments.
• Self-qualifying Upgrades: Hypershield automates the incredibly laborious and time-consuming process of testing and deploying upgrades once they are ready, leveraging a dual data plane. This completely new software architecture allows software upgrades and policy changes to be placed in a digital twin that tests updates using the customer’s unique combination of traffic, policies and features, then applying those updates with zero downtime.

Built into the Security Cloud, Cisco’s unified, AI-driven, cross-domain security platform, Cisco Hypershield is expected to be Generally Available in August 2024. With Cisco’s recent acquisition of Splunk, customers will gain unparalleled visibility and insights across their entire digital footprint for unprecedented security protection.

“AI is not just a force for good but also a tool used for nefarious purposes, allowing hackers to reverse engineer patches and create exploits in record time. Cisco looks to address an AI enabled problem with an AI solution as Cisco Hypershield aims to tip the scales back in favor of the defender by shielding new vulnerabilities against exploit in minutes – rather than the days, weeks or even months as we wait for patches to actually get deployed,” said Frank Dickson, Group Vice President, Security & Trust at IDC. “With the number of vulnerabilities ever increasing and the time for attackers to exploit them at scale ever decreasing, it’s clear that patching alone can’t keep up. Tools like Hypershield are necessary to combat an increasingly clever malicious cyber adversary.”

“Cisco Hypershield takes aim at the complex security challenges of modern, AI-scale data centers. Cisco’s vision of a self-managing fabric that seamlessly integrates from the network to the endpoint will help redefine what’s possible for security at scale,” said Zeus Kerravala, Founder and Principal Analyst of ZK Research. “For instance, this level of visibility and control across a hyper-distributed environment prevents lateral movement of attackers, enabled through a unique approach to segmentation that’s autonomous and highly effective. While this may seem fantastical, the time is right given recent AI advances combined with the maturity of cloud-native technologies like eBPF.”

“At AHEAD we believe cybersecurity should be integrated into everything we do. Bolted-on security is more expensive and less effective,” said Steven Aiello, Field Chief Information Security Officer at AHEAD. “Cisco Hypershield ensures that cyber protections are included into the fabric of the enterprise. Distributed Exploit Protection will be a massive win for blue teams – legacy synthetic patching was primarily limited to edge devices, allowing lateral movement once an attacker breached the perimeter. It’s a great day for cyber-defenders!”

Tech News

UNGOVERNED AI AGENTS AND SOPHISTICATED DEEPFAKES POSE CRITICAL THREATS FOR THE UAE & SAUDI ARABIA ORGANISATIONS, NEW KNOWBE4 RESEARCH WARNS

Published

2 days ago

July 2, 2026

Integrator Web-Admin

KnowBe4, the global leader in digital workforce security, securing both AI agents and humans, today announced the launch of its new research report, “From Agentic Risk to Human Wins: Building a Culture of Security in the Era of Agentic AI.” The findings expose a dangerous reality for modern organisations in the United Arab Emirates and Saudi Arabia: autonomous AI tools are expanding the corporate attack surface faster than security teams can implement guardrails.

With agentic AI now widely embedded in day-to-day work, 84% of cybersecurity leaders in the UAE & Saudi Arabia report that AI agents are already taking actions within organisational workflows. However, a lack of governance is leaving organisations exposed; the report shows that around 1 in every 4 organisations (24%) report their use of AI is unapproved or ungoverned. This unmanaged “Shadow AI” effectively operates as an invisible layer of shadow employees handling sensitive organisational data without oversight.

Key Findings from the Report:

88% of employees in the UAE & Saudi Arabia say that deepfake voice and video content is now so realistic it is impossible to know what to trust and 52% openly admit they could be tricked by a deepfake scam at work.
More than half (54%) of cybersecurity leaders in the UAE & Saudi Arabia report that mistakes during everyday work have had the greatest impact on their organisation’s cybersecurity in the past 12 months. Compounding this, 44% of employees acknowledge that time pressures and workplace distractions actively drive them to make critical security mistakes, even when they know the safe protocol.
36% of cybersecurity leaders in the UAE & Saudi Arabia identify AI-enabled attacks as a key driver of future human-related cybersecurity risks.
41% of employees reported that they commonly source their own agentic AI tools where options are unavailable or restrictive, leaving organisations vulnerable to cyberattacks. Concurrently, 52% of cybersecurity leaders report that the use of unsanctioned software and AI apps has actively impacted their security posture over the past 12 months.
Although 76% of security leaders feel “very well prepared” to handle unexpected or emerging AI-driven threats over the next year, 84% of them confirmed that improvements are still needed to ensure AI tools and agents operate within organization’s security policies and approved risk limits.

The report shows that organisations making progress are those who prioritise cybersecurity as a culture over a mere function, seamlessly incorporating secure behaviours into daily work. These organisations are creating environments where employees feel safe reporting mistakes, with 82% of employees agreeing.

“Cybersecurity has entered a volatile phase where organisations are trying to secure a hybrid human and AI workforce that’s changing more quickly than security leaders can keep up,” said Dr. Martin Kraemer, CISO Advisor at KnowBe4. “Attackers are moving at machine speed, using attacks such as deepfakes to target employees and prompt injections to hijack AI agents. Leaving almost a quarter of your corporate AI usage ungoverned is a massive open invitation to threat actors.”

The “From Agentic Risk to Human Wins: Building a Culture of Security in the Era of Agentic AI” report concludes that achieving “Wins” requires organisations to design systems that guide behaviour, build supportive cultures, and shift from tracking failures to reinforcing positive actions, and extending a security-first mindset across both AI agents and humans.

Tech News

Cequence Platform 9.0 Puts an AI Security Expert in Every Team’s Hands

Published

2 days ago

July 2, 2026

Integrator Web-Admin

Cequence Security, the leader in application, API, and agentic AI protection, today announced general availability of Cequence Platform 9.0, an AI-native release that fundamentally changes how users interact with API security tools. Platform 9.0 ships with a built-in AI Assistant, an open Model Context Protocol (MCP) server that exposes every platform capability to an organization’s agents or automation workflows, a compliance-ready risk rules library mapped to 25 global regulatory frameworks, and a re-architected API security engine built to handle the largest enterprise API estates without performance degradation.

Agentic AI is transforming how enterprises interact with their customers, and internal IT teams are adopting AI agents faster than their security tools can keep up. Unlike vendors that add a simple chatbot to their existing product, Cequence took the opposite approach; the entire platform is AI-native and open, enabling customers to use Cequence’s built-in model or one of their choosing. With Platform 9.0, any practitioner can open a conversation and start asking the questions they actually care about, without knowing the interface, navigating menus, or understanding how the product works. The platform finds the answers. Teams with sophisticated AI workflows can use their own agents to directly drive these same capabilities through the open MCP architecture, without the need for custom integration.

Ameya Talwalkar, CEO and Co-Founder at Cequence, said: “Most vendors looked at the agentic era and added a chatbot. We looked at it and rebuilt the architecture. Cequence Platform 9.0 exposes the entire Cequence platform through an open MCP architecture so any agent can operate it directly, whether through our built-in AI Assistant, or a customer’s own agent. That is what AI-native actually means: the UI becomes optional. We are building for the way the agentic enterprise already works, while making sure a human approves every change along the way.”

AI-Native Platform with a Built-In AI Assistant

Cequence Platform 9.0 ships with a built-in AI Assistant that answers plain-language questions such as “What is my biggest risk right now?” with ranked, evidence-backed findings drawn from live platform data. Unlike most security chatbots that only deliver value in the hands of experienced practitioners, the Cequence AI Assistant arrives with skills built on years of application, API, and data protection work in high-traffic enterprise environments, able to guide practitioners of all skill levels from day one.

Agent capabilities in Platform 9.0 include:

Drive valuable actions from simple conversations: use plain-English to easily and quickly drive results. Have the AI Assistant classify APIs, identify risks, draft rules, and create reports, all without navigating the UI.
Open MCP server: any MCP-capable agent, SOAR platform, or automation workflow can interact with, configure, and pull insights from the platform through an open API contract, with no custom integration, incorporating API security into broader agentic workflows
Human in the loop: read actions run freely; every proposed write shows the exact change and requires explicit human approval before anything happens
Full transparency: every answer exposes the AI Assistant’s reasoning and the underlying tool calls; when it lacks a tool for a task, it says so rather than guessing

Shreyans Mehta, CTO and Co-Founder at Cequence, said: “Most security chatbots are only as useful as the person asking the questions, which means they fall flat in the hands of anyone who is not already an expert. We built the Platform 9.0 agent differently. It runs a full agentic loop, planning which tools answer the question, calling them, and synthesizing ranked, evidence-backed recommendations while showing you exactly how it got there. When it does not have the tool to do something, it tells you instead of guessing. That governance-first design is not an afterthought. It is the same conviction behind the Cequence AI Gateway, and it is what makes this safe to put in front of any practitioner from the start.”

Compliance-Ready Risk Rules and Compliance Packages

Compliance is the most common forcing function for an API security purchase, and the most common place programs stall. Platform 9.0 ships the rules, frameworks, and reports to make customers audit-ready immediately, with no professional services and no custom rule development required.

Compliance capabilities in Platform 9.0 include:

250+ pre-built risk rules: Mapped to 25 global compliance frameworks including OWASP API Security Top 10 (all versions), PCI DSS, GDPR, HIPAA, SOC 2, ISO 27001, NIST CSF, DORA, NIS2, LGPD, SAMA, MAS TRM, and additional regional frameworks across the Americas, EMEA, and APAC
One-click audit-ready reports: each report builds from live data, maps findings to the framework’s specific controls, scores risk by control area, and provides remediation guidance for every gap; reports can be company or partner branded
Observe mode: see how proposed rules perform for testing purposes without raising formal issues, allowing teams can add frameworks without a flood of unreviewed findings
Test panel: validates any rule against sample request and response data before activation

Re-Architected API Security Engine Built for Enterprise Scale

Agentic AI is accelerating API endpoint growth faster than any prior technology wave. Platform 9.0 includes a complete rebuild of the engine that discovers, catalogs, and scores risk across an organization’s API estate, delivering higher performance at a smaller CPU footprint.

API security engine improvements in Platform 9.0 include:

50x increase in API endpoints supported: with sub-five-second page load times across every view regardless of endpoint count
Reduced compute costs: dramatic CPU footprint improvements translate directly into lower infrastructure costs, especially for on-premises deployments

Tech News

Magna AI and Saudi Xerox Establish Strategic Framework to Advance Sovereign AI Infrastructure Across Saudi Arabia

Published

2 days ago

July 2, 2026

Integrator Web-Admin

Magna AI, Inc., the global integrated‑value‑chain sovereign AI transformation leader established through a partnership between Trend Micro and Wistron Digital Technology Holding Company (WDH), powered by NVIDIA, today announced a strategic collaboration with Saudi Xerox, official representation of Xerox Trading Company in Saudi Arabia that is redefining the workplace experience by providing solutions to improve business processes, automation, and printing technology. The initiative was formalized during the Global AI Show 2026 in Riyadh by Dr. Moataz BinAli, Chief Executive Officer of Magna AI, and Mehmet Sezer, General Manager of Saudi Xerox.

The strategic framework will enable both companies to advance AI data centres, sovereign AI Factory capabilities, secure AI platforms and large-scale AI adoption for both government-led national initiatives and enterprise customers. The collaboration is aligned with Saudi Arabia’s digital transformation agenda and Vision 2030 objectives, with a focus on enabling secure, scalable, and locally relevant AI adoption across the public and private sectors.

The collaboration comes amid rapid expansion of the Kingdom’s AI infrastructure sector. Saudi Arabia’s AI data center market is forecast to grow from USD 0.63 billion in 2025 to USD 1.74 billion by 2030, representing a compound annual growth rate of over 22%, according to Mordor Intelligence. This growth is driven by Vision 2030 digital investment, government data-sovereignty mandates, and rising demand for locally hosted AI workloads.

“Saudi Arabia is building one of the most ambitious national AI agendas in the world, and that requires infrastructure with governance and security built in, shaped around the organization’s own requirements rather than a vendor’s defaults which creates the conditions for genuine long-term control,” said Dr. Moataz BinAli, Chief Executive Officer, Magna AI. “By combining Magna’s full value-chain AI Factory capabilities with Saudi Xerox deep on-ground presence in the Kingdom, we can help government and enterprise organizations move from AI ambition to AI at scale on infrastructure they own and control. This alliance also reflects our commitment to working with local partners to build the AI capacity, resilience, and ecosystem required to support long-term national transformation.”

Under the agreement, Magna AI will drive AI Factory architecture, platform development, AI security, and governance frameworks, while Saudi Xerox will support local infrastructure integration, security operations, compliance alignment and on-ground execution across the Kingdom.

The two companies intend to collaborate across several areas, including sovereign AI Factory development for large-scale model training, fine-tuning, inference, agentic AI operations, and data pipelines; secure AI operations aligned with Saudi data-residency and cybersecurity requirements; sector-specific AI applications for government and enterprise; and AI skills development and capacity building.

“Saudi Xerox is committed to supporting the Kingdom’s digital transformation through advanced IT, cloud, managed services, and cybersecurity capabilities,” said Mehmet Sezer, General Manager, Saudi Xerox. “This joint effort brings together Magna’s AI platform and security expertise with our established services and execution capabilities in Saudi Arabia, enabling national institutions and enterprises to adopt advanced AI with confidence and in line with local regulatory requirements. Our aim is to help organizations to adopt AI in a secure, compliant, and practical way that supports measurable business and national outcomes.”

Magna AI is the Title Sponsor of the Global AI Show 2026. Throughout the two-day event, Magna AI is showcasing is its sovereign AI infrastructure and enterprise AI platforms, as well as it’s security and industry-focused solutions. Magna AI leaders are also offering perspectives to organizations across industries looking to build production-ready AI that delivers measurable business outcomes.