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BlackBerry stock rallies on Nvidia deal but key risks remain

BlackBerry stock rallies on Nvidia deal but key risks remain Investors piled into BlackBerry BB on Monday morning after the company announced a deepened integration with the artificial intelligence (AI) behemoth – Nvidia NVDA. At Hannover Messe, the Canadian firm said it has reached an agreement to integrate its QNX OS for Safety 8.0 into NVDA’s IGX Thor platform, pivoting from its automotive stronghold into the burgeoning world of “Physical AI”. BlackBerry stock has been a lucrative investment this month – currently up some 75% versus the start of April. However, significant risks remain that warrant considering trimming exposure to BB at current levels. Cybersecurity remains an overhang for BlackBerry stock While IoT and especially the QNX division has become a Wall Street darling, BlackBerry’s legacy cybersecurity business remains a drag on the firm’s overall performance. Despite efforts to modernize its Cylance-driven suite, the division faces a “grueling uphill battle” against best-of-breed names like CrowdStrike and Microsoft. According to recent data, the dollar-based net retention rate or DBNRR continues to struggle with staying above the critical 100% threshold, signaling the company is losing ground within its existing client base. For an investor, this creates a tale of two companies: a high-growth robotics software firm shackled to a low-growth security business. Until BB stock can prove that its cybersecurity segment has stabilized and can contribute to notably to bottom-line without heavy discounting, the overall margin profile remains vulnerable to erosion. BB shares are no longer attractively priced Following today’s surge, BlackBerry’s valuation has entered a territory that fundamental analysts describe as “priced for perfection”. Trading at a forward price-to-earnings (P/E) multiple of roughly 43x, it isn’t just trading at a huge premium to the broader North American software sector only, but is more expensive to own than NVDA itself. BB’s current

6 Best MVP Developers For <b>Cybersecurity</b> Startups and Enterprises

6 Best MVP Developers For Cybersecurity Startups and Enterprises The post 6 Best MVP Developers For Cybersecurity Startups and Enterprises appeared first on MojoAuth Blog – Passwordless Authentication & Identity Solutions. The global cybersecurity market hit $271.88 billion in 2025 and is on track to reach $663.24 billion by 2033, according to Grand View Research's industry analysis, growing at a CAGR of 11.9%. In the US alone, cybersecurity startups, breakout-stage companies, and scaleups attracted more than $7 billion in venture capital in 2025, according to Vestbee's 2026 cybersecurity market report. That capital is chasing real product, and founders need development partners who can move fast without creating security debt. What makes this search harder than picking any other software vendor is the dual requirement: speed and security are usually in tension. An MVP that ships in 90 days but skips threat modeling will fail an enterprise procurement review. An MVP built to perfection but taking 18 months will miss its funding window. The right mvp software development services partner threads this needle, combining lean delivery discipline with genuine security architecture depth. This guide examines 6 providers that do exactly that, with verified data on their teams, pricing, and track records. What MVP development for cybersecurity covers Cybersecurity MVP development is not standard app development with a penetration test bolted on at the end. It describes a structured process of building the minimum version of a security product or security-enabled platform that can be deployed, tested with real users, and validated for market fit, while meeting the baseline security requirements that enterprise buyers and regulators expect. The category covers two distinct buyer types. First, pure-play cybersecurity startups building their first product: a threat detection tool, an identity and access management solution, an endpoint protection platform, or a compliance automation service. Second,

New phone-based, cloud-hosted access control system launched

Paxton has officially unveiled Solo, a phone-based, cloud-hosted access control system, with Solo, your phone is the system, your phone is the key. To support the launch, Paxton is reportedly going for a true 1st, giving away 10,000 free Solo starter kits, placing the technology directly into the hands of security installers. Adam Stroud, CEO, Paxton said: “Solo is different. It is the first system that fully utilises the modern capabilities of a smart phone. “By doing so, it creates a step change to the architecture of modern security. “Solo is a complete re-imagining of how networked access control is achieved. “Because it is so different, we want as many installers as possible to see it, use it and understand it.” Solo is said to combine the straightforward installation of a standalone system with the capability of networked access control. According to the company, there is no requirement for an on-site data network, server or centralised PC. The system is reportedly created and managed entirely from a smartphone. In effect, the phone is both the system itself and the key in your hand. Using the phone’s built-in biometric ID, such as fingerprint or facial recognition, Solo can provide secure, convenient access without cards or fobs. Paxton has reported that Centralised administration, event reporting and real-time activity logs are all available directly on the Paxton Solo app, making real-time visibility and management fast, flexible and intuitive. According to the company, installer insight played a central role in the development of Solo. In surveys conducted by Paxton, 80% of installers reportedly said they want repeat business to be simple, confirming demand for solutions that support recurring revenue without added complexity. Costing a fraction of a traditional access control system, Solo is said to make professional security viable for sites where it was

Operational Technology Under Attack: Leveraging AI for Proactive Defense

Topic: Operational Technology Under Attack: Leveraging AI for Proactive Defense Abstract: Operational Technology (OT) environments are increasingly becoming prime targets for sophisticated cyberattacks as the convergence of IT and OT expands the industrial attack surface. Critical infrastructure, manufacturing systems, and industrial control environments now face advanced threats ranging from ransomware and supply-chain compromises to targeted attacks on industrial control systems (ICS). Traditional security approaches often struggle to provide adequate visibility and timely detection in OT environments due to legacy systems, limited patching windows, and the need for continuous availability. This is where Artificial Intelligence (AI) is emerging as a transformative force in OT security. The current webinar explores how AI-driven security solutions are enabling organizations to shift from reactive defense to proactive threat detection by leveraging behavioral analytics, anomaly detection, and predictive intelligence. The webinar will also discuss how AI can help identify early indicators of compromise, reduce incident response times, and strengthen cyber resilience across industrial environments. Join us to understand the evolving OT threat landscape, key challenges in securing cyber-physical systems, and how AI-powered security strategies can help organizations detect, respond to, and mitigate attacks before they disrupt operations. Key Takeaways: - Understanding the OT threat landscape - Role of AI in strengthening OT security - Enhancing Proactive security and incident response with AI - Best practices for AI adoption in OT security - Building cyber resilience in industrial environments Speaker: Prof. Atdhe Buja, Assistant Professor, Commonwealth University of Pennsylvania Bio: Atdhe Buja is an Assistant Professor of Computer Science, Digital Forensics, and Cybersecurity at the Commonwealth University of Pennsylvania, USA (Bloomsburg University). Atdhe is a world-renowned cybersecurity expert with decades of experience. As PM, Atdhe has established andcc. He is an EC-Council Instructor (CEI) and CEH, Microsoft IT Professional, and Oracle Administrator for RDMBS, and a leading

Internet Of Things Mining Industry: Top Environmental Uses

Internet of Things Mining Industry: Top Environmental Uses [2024] “Over 60% of mining companies now use IoT sensors for real-time environmental monitoring and compliance reporting.” Introduction The internet of things mining industry is undergoing an extraordinary transformation. Across mining, oil and gas, forestry, and environmental sectors, new advances in IoT (Internet of Things) are driving integrated, resilient, and sustainable operations from extraction to rehabilitation. In regions where resource use and land stewardship must coexist, IoT-enabled devices, smart sensors, and intelligent platforms help bridge the gap between environmental safety, industrial efficiency, and transparent reporting. This comprehensive guide explores the vital environmental applications of IoT across mining, oil & gas, and related contexts, highlighting real world uses, advanced technologies, and actionable strategies for sustainable growth. Trivia: IoT Safety Impact in Oil & Gas “IoT-enabled devices in oil and gas can reduce hazardous incidents by up to 25% through automated safety alerts.” IoT doesn’t just monitor – it empowers real-time intervention by operators, directly preventing environmental incidents and equipment failures in the field, reducing both downtime and regulatory risk. IoT in Mining, Oil & Gas: Transforming Harsh Environments With the demand for raw materials climbing and regulations tightening, the internet of things mining industry is at the forefront of a new industrial era. Oil and gas internet of things deployments further emphasize how IoT is transforming harsh and dispersed industrial environments. Hundreds of mines, quarries, oil fields, and natural gas extraction sites are now embedded with robust, often ruggedized sensors and edge devices that enable equipment health, air quality, and environmental condition monitoring. - ✔ IoT enables remote sensing at locations previously inaccessible or cost-inefficient for manual inspection. - 📊 Continuous data streaming means operators have real-time feedback from critical infrastructure and resource fields. - ⚠ Automated alerts and predictive analytics improve safety

Future of Cyber Physical Systems Market (2026-2033) | Embedded

Future of Cyber Physical Systems Market (2026-2033) | Embedded Systems, Edge Computing, Connected Devices, Digital Twins, IoT Ecosystems & United States & Japan Growth Expansion DataM Intelligence has released a new research report titled "Cyber Physical Systems Market Size 2026" The report delivers in-depth insights into key market dynamics, including regional growth trends, market segmentation, CAGR projections, and the revenue performance of leading industry players. It also highlights major growth drivers shaping the market landscape. Designed to provide a clear and comprehensive perspective, the report offers a detailed view of the current market size in terms of both value and volume, along with emerging opportunities and the overall development outlook of the global Cyber Physical Systems market.Download Free Sample Report (Get Higher Priority for Corporate Email ID):- https://datamintelligence.com/download-sample/cyber-physical-systems-market?kb United States: Recent Industry Developments ✅ Apr 2026: Stellantis partnered with Microsoft to co-develop AI-driven cyber-physical systems for connected vehicles, predictive maintenance, and cybersecurity integration. ✅ Mar 2026: Honeywell advanced industrial CPS platforms integrating real-time data analytics and automation for smart manufacturing environments. ✅ Feb 2026: IBM expanded its CPS-enabled AI and IoT solutions to enhance digital twin and industrial automation capabilities across U.S. industries. ✅ Jan 2026: Intel introduced next-gen edge computing processors designed to accelerate cyber-physical system performance in robotics and autonomous systems. ✅ Dec 2025: Rockwell Automation strengthened its CPS-based smart factory solutions by integrating advanced industrial IoT and control systems. Ready to scale in the Cyber Physical Systems Market? Connect with the right partners and unlock new growth opportunities today:- https://www.datamintelligence.com/partner-identification-enquiry/cyber-physical-systems-market?kb List of Key Players 2026: ABB, Siemens AG, General Electric, Rockwell Automation, Honeywell International, Bosch Rexroth, Schneider Electric, Mitsubishi Electric, Intel Corporation, and Cisco Systems. Growth Forecast Projected 2026: The Global Cyber Physical Systems Market is anticipated to rise at a considerable rate during the forecast period,

Kontron (XTRA:KTN) Valuation Check After €20 Million Darktrace <b>Cybersecurity</b> Project Win

Kontron (XTRA:KTN) Valuation Check After €20 Million Darktrace Cybersecurity Project Win Kontron (XTRA:KTN) has secured a roughly €20 million cybersecurity project in Central and Eastern Europe, delivered with Darktrace’s AI-driven defense tools. The deal reinforces Kontron’s push into recurring software and IoT security services. See our latest analysis for Kontron. Kontron’s recent €20 million cybersecurity win sits against a share price of €21.98, with a 7 day share price return of 12.09% contrasted with a 90 day share price return of 12.01% and a 3 year total shareholder return of 40.52%. This indicates that long term investors remain ahead despite some recent weakness. If this cybersecurity move has you thinking about where AI is reshaping tech, it could be a good time to scan 37 AI infrastructure stocks So, with Kontron trading at €21.98, sitting on a 3-year total return of 40.52% and screening on some metrics at a discount, is there still mispricing here, or is the market already counting on future growth? Price-to-Earnings of 9.9x: Is it justified? Kontron trades on a P/E of 9.9x at a share price of €21.98, while its earnings profile and market comparisons point to a materially lower valuation than many peers. The P/E multiple links what you pay per share to the company’s earnings per share. This is a common way to compare valuation in the IT sector. For Kontron, this 9.9x P/E sits against earnings that grew 59% over the past year and an annualised 31.7% over the past five years, which indicates that the current earnings base is not stagnant. Relative to the German IT industry average P/E of 23x and a peer average of 26.7x, Kontron’s 9.9x appears compressed. The estimated fair P/E of 19x also sits well above the current level, which suggests a valuation that the market

BECIL, C-DAC ink MoU for advanced tech and digital transformation | Asianet Newsable

Broadcast Engineering Consultants India Limited (BECIL) has entered into a Memorandum of Understanding (MoU) with the Centre for Development of Advanced Computing (C-DAC) to collaborate in the areas of advanced technologies, digital transformation and capacity building, as per a statement released by the Ministry of Information & Broadcasting. The collaboration will focus on joint project implementation, consultancy and technical support, and development of solutions in emerging technologies such as Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), Cyber security, 5G, and Cloud Computing. It will also enable the development of turnkey solutions across sectors and facilitate technology transfer and commercialisation of innovative products, the release added. The partnership further emphasises capacity building, workforce upskilling and skill development initiatives to strengthen technical capabilities. The MoU was signed by Director (O&M), BECIL, Capt (IN) Saurav Chauhan (Retd), and Registrar, C-DAC, Niranjan Vaishnav, in the presence of senior officials. Speaking at the event, CMD, BECIL, Cmde DK Murali (Retd) said, "This collaboration with C-DAC would further strengthen BECIL's capabilities in advanced technologies and digital transformation." He further added that by leveraging the complementary strengths of both organisations, the partnership aims to deliver impactful solutions and contribute to India's digital growth. The partnership is expected to promote innovation, accelerate the adoption of advanced technologies, and contribute to building a robust and future-ready digital ecosystem in line with the Government of India's vision of Digital India. (ANI) Stay updated with all the latest Business News, including market trends, Share Market News, stock updates, taxation, IPOs, banking, finance, real estate, savings, and investments. Track daily Gold Price changes, updates on DA Hike, and the latest developments on the 8th Pay Commission. Get in-depth analysis, expert opinions, and real-time updates to make informed financial decisions. Download the Asianet News Official App from the Android Play

Mirai Variant Nexcorium Exploits CVE-2024-3721 to Hijack TBK DVRs for DDoS Botnet

Threat actors are exploiting security flaws in TBK DVR and end‑of‑life (EoL) TP-Link Wi-Fi routers to deploy Mirai-botnet variants on compromised devices, according to findings from Fortinet FortiGuard Labs and Palo Alto Networks Unit 42. The attack targeting TBK DVR devices has been found to exploit CVE-2024-3721 (CVSS score: 6.3), a medium-severity command injection vulnerability affecting TBK DVR-4104 and DVR-4216 digital video recording devices, to deliver a Mirai variant called Nexcorium. "IoT devices are increasingly prime targets for large-scale attacks due to their widespread use, lack of patching, and often weak security settings," security researcher Vincent Li said. "Threat actors continue exploiting known vulnerabilities to gain initial access and deploy malware that can persist, spread, and cause distributed denial-of-service (DDoS) attacks." This is not the first time the vulnerability has been exploited in the wild. Over the past year, the security issue has been leveraged to deploy a Mirai variant as well as a distinct, relatively new botnet called RondoDox. In September 2025, CloudSEK also disclosed details of a large-scale loader-as-a-service botnet that has been distributing RondoDox, Mirai, and Morte payloads through weak credentials and old flaws in routers, IoT devices, and enterprise apps. The attack activity outlined by Fortinet involves the exploitation of CVE-2024-3721 to obtain and drop a downloader script, which then launches the botnet payload based on the Linux system's architecture. Once the malware is executed, it displays a message stating "nexuscorp has taken control." "Nexcorium has a similar architecture to the Mirai variant, including XOR-encoded configuration table initialization, watchdog module, and DDoS attack module," the security vendor said. The malware also includes an exploit for CVE-2017-17215 to target Huawei HG532 devices in the network and incorporates a list of hard-coded usernames and passwords for use in brute-force attacks targeting the victim's hosts by opening a Telnet

An explainable multi-head attention network for healthcare <b>IoT</b> threat detection based on the ...

Figures Abstract The rapid proliferation of Internet of Medical Things (IoMT) devices in healthcare environments has created critical cybersecurity vulnerabilities that demand both accurate and interpretable intrusion detection solutions. Existing deep learning-based intrusion detection systems (IDS) achieve high detection accuracy but lack inherent explainability, limiting their clinical adoption under regulatory frameworks such as GDPR and FDA guidelines. This paper presents MedDefender-MHAN, an explainable multi-head attention network specifically designed for healthcare IoT threat detection. The proposed framework introduces a novel dual-stream architecture that combines convolutional neural networks for local spatial feature extraction with transformer-based encoders for long-range temporal dependency modeling. Unlike existing approaches that apply explainability as a post-hoc process, MedDefender-MHAN embeds interpretability directly into the multi-head attention mechanism, enabling real-time gradient-weighted explanation generation without external XAI pipelines. Evaluated on CICIDS2017 and TON_IoT benchmark datasets, MedDefender-MHAN achieves detection accuracies of 99.47% and 98.92% respectively, with sub-3ms inference latency and a throughput of 435 samples per second. Explainability evaluation demonstrates 94.6% alignment with expert-annotated attack signatures and 91.9% temporal accuracy, outperforming post-hoc methods such as SHAP and Integrated Gradients. These results confirm that MedDefender-MHAN provides a clinically viable, regulatory-compliant security solution for real-world healthcare IoT infrastructure. The proposed framework addresses the dual imperatives of methodological transparency and clinical impact, directly responding to the growing need for trustworthy AI-driven security solutions in regulated healthcare IoMT environments. Citation: Alqazzaz A (2026) An explainable multi-head attention network for healthcare IoT threat detection based on the MedDefender-MHAN framework. PLoS One 21(4): e0346677. https://doi.org/10.1371/journal.pone.0346677 Editor: Sohail Saif, Maulana Abul Kalam Azad University of Technology West Bengal, INDIA Received: January 15, 2026; Accepted: March 23, 2026; Published: April 17, 2026 Copyright: © 2026 Ali Alqazzaz. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction

Exein establishes APAC headquarters and Taipei office

Exein establishes APAC headquarters and Taipei office Partnering with Taiwan's ecosystem to set new global runtime cybersecurity standards TAIPEI, April 17, 2026 /PRNewswire/ -- Exein, a global leader in embedded runtime cybersecurity, today announced the opening of its APAC headquarters and Taipei office in Taiwan. The new hub will serve as a regional operations and technology base, working closely with Taiwanese and APAC partners to accelerate the adoption of runtime cybersecurity across the IoT ecosystem and export new global standards. As international regulations such as the EU Cyber Resilience Act (CRA) evolve, device-level security has become both a regulatory requirement and a central industry priority. Leveraging Taiwan's leading position in the global semiconductor and electronics manufacturing supply chain, Exein is advancing the development of runtime cybersecurity technologies in IoT security ecosystem. By embedding AI-driven protection directly into devices, manufacturers can meet "security by design" requirements and gain access to global markets with greater confidence. With the number of connected devices expected to exceed 25 billion by 2030, the attack surface continues to expand, with a significant portion of vulnerabilities linked to IoT endpoints. Exein addresses this challenge through AI-driven runtime protection embedded at the firmware level, enabling real-time detection and response to threats while maintaining performance impact. The APAC region contributes nearly 50% of Exein's global revenue and has seen growth in 2025. Through strategic partnerships with MediaTek and ASPEED, Exein is expanding its footprint from IoT into data center infrastructure, integrating security capabilities into both edge devices and server platforms. Gianni Cuozzo, Founder and CEO of Exein, said: "Expanding into APAC marks a key milestone in our global growth. Taiwan sits at the heart of the global technology supply chain, and establishing a presence here allows us to work more closely with partners shaping the next generation of connected

New Mirai Variant Nexcorium Hijacks DVR Devices for DDoS Attacks

Cybersecurity researchers at Fortinet’s FortiGuard Labs have found a new malware that is taking over smart devices across the globe. This threat, named Nexcorium, is a new version of the infamous Mirai malware. It is built to create a botnet, which is a large network of infected IoT devices and gadgets controlled by hackers to carry out large-scale DDoS attacks. How the hackers gain access FortiGuard Lab’s security analysts have found that in this campaign, the key targets of hackers are video recording boxes used for security cameras, preferably the TBK DVR-4104 and DVR-4216 models. That’s probably because these devices are rarely updated and have weak security settings, hence being easier to compromise. According to researchers, attackers are abusing CVE-2024-3721, a command injection vulnerability in these specific devices, allowing hackers to gain access and run malicious code and gain persistent remote access. Upon successful compromise, it leads to the showing of a message on the system saying “NexusCorp has taken control.” This gives away the attackers’ identity, which, according to researchers, is the Nexus Team. They even leave a signature in the code that says “Nexus Team – Exploited By Erratic,” thus validating this attribution. Malware Capabilities In their blog post shared with Hackread.com ahead of publishing on Friday, Vincent Li of FortiGuard Labs noted that Nexcorium is a “multi-architecture” malware, which means it can work on different processors. The malware is also difficult to get rid of because it copies itself into several different folders. It then sets up automatic tasks so that if the device is turned off and on again, the malware just starts back up, and even deletes its own original files to hide from anyone trying to find it. To extend the botnet network, the malware tries to compromise other smart devices in the same

BrainChip and Quantum Ventura's CyberNeuro-RT™ Named 2026 Enterprise AI Product of ...

CyberNeuro-RT was selected for its ability to deliver measurable, real-world impact by providing high-accuracy, low-power cybersecurity protection at the edge. Brainchip Limited Holding Co (ASX:BRN) LAGUNA HILLS, CA, UNITED STATES, April 16, 2026 /EINPresswire.com/ — BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, today announced that CyberNeuro-RT™ from Quantum Ventura’s spin-out, MetaGuard.AI has been recognized as a winner of the 2026 Enterprise AI Product of the Year Award by TMCnet. MetGuard.AI is an AI-native real-time threat intelligence solution powered by BrainChip’s Akida™ technology to extend real-time cyber-protection into access points for retail, small offices and enterprises. The Enterprise AI Product of the Year Awards honor technologies that are transforming how organizations operate, compete, and grow. CyberNeuro-RT was selected for its ability to deliver measurable, real-world impact by providing high-accuracy, low-power cybersecurity protection at the edge. The Urgent Need for Edge Defense in the Era of Frontier AI The emergence of “frontier” AI models, such as Anthropic’s Claude Mythos, has fundamentally altered the cybersecurity landscape. Mythos represents a striking leap in AI capability, demonstrating the ability to autonomously discover and exploit thousands of high-severity, zero-day vulnerabilities in major operating systems and web browsers. Because these advanced models can automate complex reconnaissance and multi-step attacks at scale, traditional reactive security measures and cloud-dependent defenses often face latency issues that leave critical infrastructure exposed. In this environment, edge AI protection becomes a critical necessity. By moving threat detection directly to the “point of acquisition” on devices like routers and industrial controllers, organizations can neutralize AI-driven exploits in real-time before they can penetrate deeper into the network. This local, on-chip intelligence ensures that even if a model as powerful as Mythos identifies a flaw, the defense is already active

Zscaler and OpenAI Join Forces to Advance the Next Era of <b>Cybersecurity</b>

Blog de Zscaler Reciba en su bandeja de entrada las últimas actualizaciones del blog de Zscaler Zscaler and OpenAI Partner to Advance the Next Era of Cybersecurity Overview Zscaler is proud to partner with OpenAI as part of their Trusted Access for Cyber (TAC) program, which expands trusted, verified access to advanced AI capabilities for defenders. As part of this program, we plan to use GPT 5.4-Cyber, a TAC-enabled variant of GPT‑5.4, to further improve cybersecurity for our Zero Trust Exchange platform and for our customers. GPT 5.4-Cyber will be integrated into our secure Software Development Lifecycle (SDLC) workflows, empowering our teams to instantly detect, triage, and mitigate vulnerabilities earlier and patch security vulnerabilities faster. In addition to safeguarding software, Zscaler has a long history of harnessing OpenAI technology to fight AI-based attacks, including within our AI Red Teaming and Agentic SecOps solutions. Safeguarding the Zscaler Platform Secure software development is a business imperative at Zscaler. Participating in Open AI’s TAC program enables us to integrate GPT 5.4-Cyber and Codex Security into Zscaler’s internal multi‑agent security architecture for cyber defenses and product hardening. GPT 5.4-Cyber is a key enabler to offer Security-as-a-Service to our developers throughout the SDLC process, from validating threat models in designs, to assisting with secure code reviews, finding vulnerabilities, and executing black-box testing on built artifacts. We are approaching TAC with both a defensive and offensive mindset. In addition to improving security through the SDLC, we are leveraging the model to improve cyber readiness by turning large volumes of security signals into actionable intelligence, prioritizing true risk, and accelerating remediations. Moreover, we are relying on the model for offensive-informed posture hardening by modeling adversarial attack paths and highlighting weak controls, which enables us to neutralize exposures at unprecedented speeds. Combining the frontier OpenAI models with Zscaler’s

Zscaler and OpenAI Join Forces to Advance the Next Era of <b>Cybersecurity</b>

Blog da Zscaler Receba as últimas atualizações do blog da Zscaler na sua caixa de entrada Zscaler and OpenAI Partner to Advance the Next Era of Cybersecurity Overview Zscaler is proud to partner with OpenAI as part of their Trusted Access for Cyber (TAC) program, which expands trusted, verified access to advanced AI capabilities for defenders. As part of this program, we plan to use GPT 5.4-Cyber, a TAC-enabled variant of GPT‑5.4, to further improve cybersecurity for our Zero Trust Exchange platform and for our customers. GPT 5.4-Cyber will be integrated into our secure Software Development Lifecycle (SDLC) workflows, empowering our teams to instantly detect, triage, and mitigate vulnerabilities earlier and patch security vulnerabilities faster. In addition to safeguarding software, Zscaler has a long history of harnessing OpenAI technology to fight AI-based attacks, including within our AI Red Teaming and Agentic SecOps solutions. Safeguarding the Zscaler Platform Secure software development is a business imperative at Zscaler. Participating in Open AI’s TAC program enables us to integrate GPT 5.4-Cyber and Codex Security into Zscaler’s internal multi‑agent security architecture for cyber defenses and product hardening. GPT 5.4-Cyber is a key enabler to offer Security-as-a-Service to our developers throughout the SDLC process, from validating threat models in designs, to assisting with secure code reviews, finding vulnerabilities, and executing black-box testing on built artifacts. We are approaching TAC with both a defensive and offensive mindset. In addition to improving security through the SDLC, we are leveraging the model to improve cyber readiness by turning large volumes of security signals into actionable intelligence, prioritizing true risk, and accelerating remediations. Moreover, we are relying on the model for offensive-informed posture hardening by modeling adversarial attack paths and highlighting weak controls, which enables us to neutralize exposures at unprecedented speeds. Combining the frontier OpenAI models with Zscaler’s