Issued on behalf of Quantum Secure Encryption Corp.
VANCOUVER — Baystreet.ca News Commentary — Global tech spending is hitting a staggering $6.15 trillion this year, but there is a catch that most people are missing. While spending on AI-optimized servers is accelerating at a 49% clip, these upgrades are opening up structural gaps that old-school security just cannot plug[1]. This is not just a temporary glitch; it is a fundamental shift where adversaries are already harvesting encrypted data today, betting they can crack it later with quantum power[2]. Securing this new AI-native data stack has transitioned from a "nice to have" to a pivotal prerequisite for any enterprise looking to scale. Quantum Secure Encryption Corp. (CSE: QSE) (OTCQB: QSEGF) (FSE: VN8), Nutanix (NASDAQ: NTNX), MongoDB (NASDAQ: MDB), Datadog (NASDAQ: DDOG), and ADT (NYSE: ADT).
The data reveals a stark reality: 82% of cloud workloads currently harbor critical vulnerabilities because the velocity of AI adoption is simply outrunning traditional governance[3]. According to the Cloud Security Alliance, this complexity gap has left 92% of executives reporting business-impacting compromises, signaling a massive demand for modern solutions[4]. As autonomous agents and ephemeral workloads interact at machine speed, the industry is seeing a major move toward scalable observability and cryptographic agility as the primary value drivers for this cycle.
Quantum Secure Encryption Corp. (CSE: QSE) (OTCQB: QSEGF) (FSE: VN8) announced its first municipal government post-quantum security pilot this week, a concrete step forward for the Vancouver-based company as it pushes deeper into public-sector contracts. The pilot is being conducted through QSE's membership in MISA (Municipal Information Systems Association), which connects municipal governments across Canada on technology evaluation initiatives.
The participating municipality will use QSE's Quantum Preparedness Assessment (QPA) platform to map its cryptographic exposure and build a readiness framework for the coming shift to post-quantum security standards. In plain terms, that means figuring out which of its systems could be cracked by a powerful enough quantum computer in the future, and starting to plan how to fix that before it becomes an emergency.
"Our engagement with municipal governments reflects the growing recognition that post-quantum security planning must begin well before quantum computing capabilities reach maturity," said Ted Carefoot, CEO of QSE. “Municipal governments operate critical infrastructure and sensitive citizen data systems, making early evaluation of cryptographic risk an important step in preparing for the next generation of cybersecurity challenges.”
The company noted it is already in talks with additional municipalities exploring similar assessments.
The municipal pilot fits into a broader commercial story. Since November 2025, QSE has grown from four to thirteen operational markets worldwide, with eleven value-added distributors now active across its channel ecosystem and two more partnerships expected to close shortly. The company has also been building out its technology stack, adding expanded automation to the QPA platform for analyzing software, cryptographic, and hardware bills of materials, giving organizations a clearer picture of where their encryption vulnerabilities actually sit.
On the identity side, QSE integrated its quantum-resistant entropy layer into QAuth, its authentication platform, strengthening how cryptographic keys are generated at the source level. The company also joined CADSI (Canadian Association of Defence and Security Industries) alongside its MISA membership, opening pathways into Canadian defence and public-sector procurement processes.
QSE is a Canadian post-quantum security company building tools to help organizations protect their data not just from today's cyber threats, but from the more powerful attacks that quantum computing is expected to eventually make possible. Its platform covers migration readiness assessment, quantum-resilient key generation, identity and authentication, and encrypted storage architecture, targeting commercial, enterprise, and government clients preparing for a long-term shift in global cryptographic standards.
CONTINUED… Read this and more on QSE at: https://usanewsgroup.com/2024/04/26/the-currency-of-tomorrow-why-investing-in-cutting-edge-ai-recognition-tech-could-mean-big-money/
In other industry developments and happenings in the market include:
Nutanix (NASDAQ: NTNX) has published its eighth annual Enterprise Cloud Index revealing that AI adoption is fundamentally reshaping enterprise infrastructure strategies, with 85% of surveyed IT executives reporting that AI is accelerating their container adoption to improve speed, reliability, and scalability. The survey of 1,600 cloud and engineering executives also found that 79% encounter unauthorized AI deployments by non-IT employees, with 87% believing such shadow AI use introduces significant security and data exposure risk.
"The findings indicate organizations need enterprise-grade security, resilience, and portability as AI workloads can run anywhere," said Lee Caswell, SVP, Product and Solutions Marketing at Nutanix. "Organizations would also benefit from a common operating environment for virtual machines and containers that enables their IT leaders to scale AI confidently across hybrid environments."
With 80% of respondents citing data sovereignty as a high infrastructure priority and 82% of organizations reporting their current infrastructure is not fully ready to support on-premises AI workloads, Nutanix's hybrid multicloud platform is positioned to address the expanding gap between AI ambition and deployment readiness. The company serves more than 30,000 customers worldwide with a unified software platform designed to run applications and manage data across any environment.
MongoDB (NASDAQ: MDB) delivered fourth quarter fiscal 2026 revenue of $695.1 million, a 27% year-over-year increase, with Atlas cloud revenue growing 29% and total customers reaching 65,200 as of January 31, 2026. The company achieved a Rule of 40 performance milestone, generating $176.7 million in free cash flow for the quarter while simultaneously expanding non-GAAP operating margin to 23%.
"We delivered strong fourth quarter results driven by our continued go-to-market execution and the broad-based demand we are seeing across our product lines," said CJ Desai, President and CEO of MongoDB. "At the same time, we significantly outperformed on operating margin, achieving a rule of 40 performance and demonstrating we can drive durable revenue growth while simultaneously expanding margin."
MongoDB guided for full year fiscal 2027 revenue of $2.86 billion to $2.90 billion and introduced a suite of new AI capabilities including five Voyage AI embedding models and an AI-powered data operations assistant, deepening its position as the integrated data layer for production AI workloads. The company also announced the appointment of Erica Volini as Chief Customer Officer and confirmed it is in late-stage search for a new Chief Revenue Officer following planned leadership transitions.
Datadog (NASDAQ: DDOG) has announced general availability of its MCP Server, a purpose-built interface that feeds live logs, metrics, and traces from its unified observability platform directly into AI coding agents including Claude Code, Cursor, GitHub Copilot, and Visual Studio Code, enabling engineering teams to debug production issues without context switching. The launch addresses the growing complexity of operationalizing AI agents at enterprise scale, providing governed access to production data within existing security and compliance frameworks.
"Datadog delivers AI solutions that transform complexity into clarity and blind spots into security," said Yanbing Li, Chief Product Officer at Datadog. "By combining telemetry from Datadog's unified observability platform into teams' AI workflows, we are enabling the next stage of AI-native development — moving from simply AI copilots to AI operating on live production systems."
The Datadog MCP Server reduces integration overhead by providing a dynamic, purpose-built protocol for agent communication that minimizes the risk of breaking changes as AI tooling rapidly evolves. As AI agent embedding becomes standard practice across industries, Datadog's early move to provide a governed observability bridge positions it to capture expanding platform revenue from organizations scaling agentic development workflows.
ADT (NYSE: ADT) has secured a five-year renewable commercial agreement with Verisure under which the European and Latin American security provider will continue licensing Origin AI's proprietary WiFi-based AI sensing technology, valued at $30 million in development services plus a per-household activation fee. The agreement follows ADT's acquisition of Origin AI and grants Verisure defined exclusivity in professionally monitored security across its European and Latin American markets, covering use cases including age-technology applications, alarm verification, and occupancy intelligence.
"This five-year commercial agreement reflects the value and global scalability of our AI sensing platform," said Omar Khan, Executive Vice President and Chief Business Officer of ADT. "Partnering with Verisure allows us to accelerate the deployment of AI-driven protection across millions of professionally monitored homes."
Origin AI's sensing technology enables camera-free detection and verification of human presence and contextual in-home activity, with a portfolio backed by more than 200 patents. Together ADT and Verisure represent two of the world's largest residential security providers, and the agreement establishes ADT as the primary platform licensor powering AI-driven security across Verisure's approximately 6.2 million monitored households in 18 countries.
SOURCE: https://usanewsgroup.com/2024/04/26/the-currency-of-tomorrow-why-investing-in-cutting-edge-ai-recognition-tech-could-mean-big-money/
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SOURCES CITED:
1. https://www.gartner.com/en/newsroom/press-releases/2026-02-03-gartner-forecasts-worldwide-it-spending-to-grow-10-point-8-percent-in-2026-totaling-6-point-15-trillion-dollars
2. https://www.weforum.org/stories/2026/02/quantum-security-question-leaders-cannot-ignore/
3. https://www.tenable.com/cyber-exposure/cloud-and-ai-security-risk-report-2026
4. https://cloudsecurityalliance.org/blog/2026/03/13/the-state-of-cloud-and-ai-security-in-2026/
