#cloud-security

#cloud-security

Native has developed a platform designed to translate a company's security policies into provider-specific controls that can be enforced across Amazon Web Services, Microsoft Azure, Google Cloud, and Oracle Cloud Infrastructure. Rather than layering on additional monitoring or detection tooling, the platform works through the native enforcement mechanisms already built into those cloud providers.

Azure Governance is the set of policies, processes, and technical controls that ensure your Azure environment is secure, compliant, and well-managed. It provides a structured approach to organizing subscriptions, resources, and management groups, while defining standards for naming, tagging, security, and operational practices.

Tracebit has built cloud-native threat deception technology that uses tailored canaries to detect threats everywhere on a system. The canaries, which are described as fake honeypots, are deployed across the entire environment to attract threats and help organizations prevent cyberattacks and respond to incidents faster, employing an 'assume breach' approach.

Together, we will offer an AI-powered cybersecurity platform that combines Google's Threat Intelligence and Security Operations with Wiz's Cloud and AI Security Platform to detect, prevent, and respond to threats across all environments. Security teams can detect emerging cybersecurity threats created using AI models, protect against threats to AI models, and leverage AI models to accelerate threat hunting and threat response.

With a valid key, an attacker can access uploaded files, cached data, and charge LLM-usage to your account. The keys now also authenticate to Gemini even though they were never intended for it. The problem occurs when users enable the Gemini API on a Google Cloud project, causing existing API keys to gain surreptitious access to Gemini endpoints without any warning or notice.

Three years ago, we would spend hours asking ourselves if we were heading in the right direction, and 80% of the time, it felt like we weren't,

Security in 2026 is defined by convergence, complexity, and scale. Enterprise organizations are navigating a world where cyber incidents are causing physical shutdowns, and physical breaches are creating digital vulnerabilities, all while cloud-dependent systems are becoming the backbone of operations, and AI is being used as a tool by both defenders and attackers. Incidents in 2025, especially the AWS outage, have painfully exposed just how interdependent modern security environments have become.

Upwind focuses on securing public cloud environments with a so-called runtime-first approach. According to the company, traditional security models are increasingly out of step with modern cloud architectures, in which real-time applications and AI workloads play an increasingly important role. The CEO and co-founder argues that security should be based on what is actually happening in a cloud environment, rather than on static assumptions or snapshots.

Microsoft provided the FBI with the recovery keys to unlock encrypted data on the hard drives of three laptops as part of a federal investigation, Forbes reported on Friday. Many modern Windows computers rely on full-disk encryption, called BitLocker, which is enabled by default. This type of technology should prevent anyone except the device owner from accessing the data if the computer is locked and powered off.

The cloud revolution has transformed application development and deployment. Still, traditional network security, the castle and moat approach that served on-premises data centers, falls short in cloud native architectures where resources are distributed, ephemeral, and accessed from anywhere. Data exfiltration through insider threats, compromised credentials and misconfigured services has become critical for enterprises migrating to public cloud. Industry reports show data breaches involving cloud misconfiguration cost organizations an average of $4.45 million per incident.

Consider a fictitious company, DeltaSite, and an all-too-common scenario for rapidly expanding SaaS providers. Within months, DeltaSite embarked on an ambitious multicloud migration, deploying critical workloads across AWS, Azure, and Google Cloud. DeltaSite's board approved a seven-figure investment in the latest cloud security tools, including AI-powered monitoring and automated compliance frameworks, believing this would virtually guarantee security. Yet just six months after going live, DeltaSite suffered a major breach: A single misconfigured storage bucket exposed sensitive customer data to the public internet.

From a management perspective, the path was clear to Teams,

AWS Identity Misconfigurations: We will show how attackers abuse simple setup errors in AWS identities to gain initial access without stealing a single password. Hiding in AI Models: You will see how adversaries mask malicious files in production by mimicking the naming structures of your legitimate AI models. Risky Kubernetes Permissions: We will examine "overprivileged entities"-containers that have too much power-and how attackers exploit them to take over infrastructure.

CrowdStrike's Q3 fiscal 2026 results showed $1.23 billion in revenue, up 22% year over year, missing the $1.24 billion estimate. Net new annual recurring revenue hit $265 million, up 73% from last year. CEO George Kurtz called it "one of our best quarters in company history." Operating cash flow hit a record $398 million. Free cash flow reached $296 million.

For IT leaders navigating multicloud environments, success depends on strategic alignment across business units, robust governance frameworks, and proactive security postures. While multicloud offers agility and vendor flexibility, it also introduces challenges in visibility, compliance, and developer productivity. In this special report, you'll learn how to take advantage of the benefits of using multiple clouds, avoid common pitfalls, and ensure that multicloud is worth the investment.

For the first time, we are seeing a foreign adversary use a commercial AI system to carry out nearly an entire cyber operation with minimal human involvement,

Alibaba Cloud is not inherently a security threat, but its ties to China and the legal environment create potential risks that Western companies must carefully evaluate. For low-risk applications (e.g., serving customers in Asia), it may be a viable option. For high-sensitivity operations, most security-conscious organizations opt for cloud providers based in allied countries with strong rule-of-law protections (e.g., AWS, Microsoft Azure, Google Cloud).

The Zero Trust security market is expected to be worth $88.8bn by 2030, at a compound annual growth rate of just over 16%. And this investment is urgent: according to research, 98% of CISOs expect cyber attacks to increase over the next three years. These attacks can have huge consequences: US financial services firm Equifax incurred $1.4bn in settlements after a single vulnerability in a web application was exploited by hackers.

In the company's annual Cloud Readiness Report 70% of CEOs admit they built their current cloud environment "by accident, rather than by design" - this often entailed periodic upgrades aimed at addressing short-term needs, rather than focusing on longer term strategic improvements. Kyndryl said this shows that many lacked a "deliberate strategy" when pursuing cloud transformation projects, and the effects of this are starting to show with huge workload pressure placed on cloud environments, as well as growing security threats and evolving regulatory requirements.

There are plenty of choices for businesses when it comes to security. One could say there are too many of them in the public cloud domain for little overall gain. Google wants to ensure that customers can trust those choices by guaranteeing interoperability and integration. In said attempt, it has unveiled the newly launched Unified Security Recommended program. CrowdStrike, Fortinet, and Wiz are the first to join in.

For decades, organizations have relied on static secrets, such as API keys, passwords, and tokens, as unique identifiers for workloads. While this approach provides clear traceability, it creates what security researchers describe as an "operational nightmare" of manual lifecycle management, rotation schedules, and constant credential leakage risks. This challenge has traditionally driven organizations toward centralized secret management solutions like HashiCorp Vault or CyberArk, which provide universal brokers for secrets across platforms.

The cloud has become the backbone of modern business, enabling rapid scalability, advanced analytics, and collaboration across global teams. In the age of artificial intelligence (AI), the cloud's role is even more critical, both serving as the storage and processing hub for vast quantities of data that feed machine learning models, power real-time analytics, and drive business innovation. With this innovation comes a high-risk balancing act.

Cloud migration and flexible working policies have contributed to the sprawl, but part of the reason it's so unmanageable is that companies still rely on the same old discovery tools built for a static network. Whenever we scan a new environment, we always uncover a large number of devices that were completely off the radar and out of scope of the protection of their IT and security policies.

Today, enterprises need a robust digital infrastructure for everything from customer engagement to operational continuity, and multi-cloud technology has become a fundamental enabler of enterprise success. However, with these increased complexities, organisations face increasing challenges in managing security risks, maintaining operational uptime, and above all, to maximise value from their cloud investments. Emerging technologies and innovative approaches are reshaping the way enterprises navigate these challenges, and at the same time service level agreements (SLAs) too are evolving to align with these developments.