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AI is everywhere—and your company wants in. Faster products, smarter systems, fewer bottlenecks. But if you're in security, that excitement often comes with a sinking feeling. Because while everyone else is racing ahead, you're left trying to manage a growing web of AI agents you didn't create, can't fully see, and weren't designed to control. Join our upcoming webinar and learn how to make AI security work with you, not against you . The Quiet Crisis No One Talks About Did you know most companies now have 100 AI agents for every one human employee? Even more shocking? 99% of those AI identities are completely unmanaged. No oversight. No lifecycle controls. And every one of them could be a backdoor waiting to happen. It's not your fault. Traditional tools weren't built for this new AI world. But the risks are real—and growing. Let's Change That. Together. In our free webinar, " Turning Controls into Accelerators of AI Adoption ," we'll help you flip the script. Th...

As machine identities explode across cloud environments, enterprises report dramatic productivity gains from eliminating static credentials. And only legacy systems remain the weak link. 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. However, these approaches perpetuate the fundamental problem: the proliferation of static secrets requiring careful management and rotation. "Having a workload in Azure that needs to read data from AWS S3 is not ideal from a security perspective...

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) on Wednesday added a critical security flaw impacting Motex Lanscope Endpoint Manager to its Known Exploited Vulnerabilities ( KEV ) catalog, stating it has been actively exploited in the wild. The vulnerability, CVE-2025-61932 (CVSS v4 score: 9.3), impacts on-premises versions of Lanscope Endpoint Manager, specifically Client program and Detection Agent, and could allow attackers to execute arbitrary code on susceptible systems. "Motex LANSCOPE Endpoint Manager contains an improper verification of source of a communication channel vulnerability, allowing an attacker to execute arbitrary code by sending specially crafted packets," CISA said. The flaw impacts versions 9.4.7.1 and earlier. It has been addressed in the versions below - 9.3.2.7 9.3.3.9 9.4.0.5 9.4.1.5 9.4.2.6 9.4.3.8 9.4.4.6 9.4.5.4 9.4.6.3, and 9.4.7.3 It's currently not known how the vulnerability is being exploited in rea...

Cybersecurity researchers have disclosed details of a high-severity flaw impacting the popular async-tar Rust library and its forks, including tokio-tar, that could result in remote code execution under certain conditions. The vulnerability, tracked as CVE-2025-62518 (CVSS score: 8.1), has been codenamed TARmageddon by Edera, which discovered the issue in late August 2025. It impacts several widely-used projects, such as testcontainers and wasmCloud. "In the worst-case scenario, this vulnerability has a severity of 8.1 (High) and can lead to Remote Code Execution (RCE) through file overwriting attacks, such as replacing configuration files or hijacking build backends," the Seattle-based security company said . The problem is compounded by the fact that tokio-tar is essentially abandonware despite attracting thousands of downloads via crates.io. Tokio-tar is a Rust library for asynchronously reading and writing TAR archives built atop the Tokio runtime for the programmi...

TP-Link has released security updates to address four security flaws impacting Omada gateway devices, including two critical bugs that could result in arbitrary code execution. The vulnerabilities in question are listed below - CVE-2025-6541 (CVSS score: 8.6) - An operating system command injection vulnerability that could be exploited by an attacker who can log in to the web management interface to run arbitrary commands CVE-2025-6542 (CVSS score: 9.3) - An operating system command injection vulnerability that could be exploited by a remote unauthenticated attacker to run arbitrary commands CVE-2025-7850 (CVSS score: 9.3) - An operating system command injection vulnerability that could be exploited by an attacker in possession of an administrator password of the web portal to run arbitrary commands CVE-2025-7851 (CVSS score: 8.7) - An improper privilege management vulnerability that could be exploited by an attacker to obtain the root shell on the underlying operating sys...

Artificial intelligence (AI) holds tremendous promise for improving cyber defense and making the lives of security practitioners easier. It can help teams cut through alert fatigue, spot patterns faster, and bring a level of scale that human analysts alone can't match. But realizing that potential depends on securing the systems that make it possible. Every organization experimenting with AI in security operations is, knowingly or not, expanding its attack surface. Without clear governance, strong identity controls, and visibility into how AI makes its decisions, even well-intentioned deployments can create risk faster than they reduce it. To truly benefit from AI, defenders need to approach securing it with the same rigor they apply to any other critical system. That means establishing trust in the data it learns from, accountability for the actions it takes, and oversight for the outcomes it produces. When secured correctly, AI can amplify human capability instead of replacing it t...

The danger isn't that AI agents have bad days — it's that they never do. They execute faithfully, even when what they're executing is a mistake. A single misstep in logic or access can turn flawless automation into a flawless catastrophe. This isn't some dystopian fantasy—it's Tuesday at the office now. We've entered a new phase where autonomous AI agents act with serious system privileges. They execute code, handle complex tasks, and access sensitive data with unprecedented autonomy. They don't sleep, don't ask questions, and don't always wait for permission. That's powerful. That's also risky. Because today's enterprise threats go way beyond your garden-variety phishing scams and malware. The modern security perimeter? It's all about identity management. Here's the million-dollar question every CISO should be asking: Who or what has access to your critical systems, can you secure and govern that access, and can you actually prove it? Ho...

Microsoft on Thursday disclosed that it revoked more than 200 certificates used by a threat actor it tracks as Vanilla Tempest to fraudulently sign malicious binaries in ransomware attacks. The certificates were "used in fake Teams setup files to deliver the Oyster backdoor and ultimately deploy Rhysida ransomware," the Microsoft Threat Intelligence team said in a post shared on X. The tech giant said it disrupted the activity earlier this month after it was detected in late September 2025. In addition to revoking the certificates, its security solutions have been updated to flag the signatures associated with the fake setup files, Oyster backdoor, and Rhysida ransomware. Vanilla Tempest (formerly Storm-0832) is the name given to a financially motivated threat actor also called Vice Society and Vice Spider that's assessed to be active since at least July 2022, delivering various ransomware strains such as BlackCat, Quantum Locker, Zeppelin, and Rhysida over the year...

Penetration testing helps organizations ensure IT systems are secure, but it should never be treated in a one-size-fits-all approach. Traditional approaches can be rigid and cost your organization time and money – while producing inferior results.  The benefits of pen testing are clear. By empowering "white hat" hackers to attempt to breach your system using similar tools and techniques to an adversary, pen testing can provide reassurance that your IT set-up is secure. Perhaps more importantly, it can also flag areas for improvement.  As the UK's National Cyber Security Centre (NCSC) notes, it's comparable to a financial audit . "Your finance team tracks expenditure and income day to day. An audit by an external group ensures that your internal team's processes are sufficient." While the advantages are obvious, it's vital to understand the true cost of the process: indeed, the classic approach can often demand significant time and effort from your team. You need to get yo...

TLDR Even if you take nothing else away from this piece, if your organization is evaluating passkey deployments, it is insecure to deploy synced passkeys. Synced passkeys inherit the risk of the cloud accounts and recovery processes that protect them, which creates material enterprise exposure. Adversary-in-the-middle (AiTM) kits can force authentication fallbacks that circumvent strong authentication all together Malicious or compromised browser extensions can hijack WebAuthn requests, manipulate passkey registration or sign-in, and drive autofill to leak credentials and one-time codes. Device-bound passkeys in hardware security keys offer higher assurance and better administrative control than synced passkeys, and should be mandatory for enterprise access use cases Synced Passkey Risks Synced passkey vulnerabilities Passkeys are credentials stored in an authenticator. Some are device-bound, others are synced across devices through consumer cloud services like iCloud and Go...

For years, security leaders have treated artificial intelligence as an "emerging" technology, something to keep an eye on but not yet mission-critical. A new Enterprise AI and SaaS Data Security Report by AI & Browser Security company LayerX proves just how outdated that mindset has become. Far from a future concern, AI is already the single largest uncontrolled channel for corporate data exfiltration—bigger than shadow SaaS or unmanaged file sharing. The findings, drawn from real-world enterprise browsing telemetry, reveal a counterintuitive truth: the problem with AI in enterprises isn't tomorrow's unknowns, it's today's everyday workflows. Sensitive data is already flowing into ChatGPT, Claude, and Copilot at staggering rates, mostly through unmanaged accounts and invisible copy/paste channels. Traditional DLP tools—built for sanctioned, file-based environments—aren't even looking in the right direction. From "Emerging" to Essential in Record Time In just two years, AI tool...

In the era of rapidly advancing artificial intelligence (AI) and cloud technologies, organizations are increasingly implementing security measures to protect sensitive data and ensure regulatory compliance. Among these measures, AI-SPM (AI Security Posture Management) solutions have gained traction to secure AI pipelines, sensitive data assets, and the overall AI ecosystem. These solutions help organizations identify risks, control security policies, and protect data and algorithms critical to their operations.  However, not all AI-SPM tools are created equal. When evaluating potential solutions, organizations often struggle to pinpoint which questions to ask to make an informed decision. To help you navigate this complex space, here are five critical questions every organization should ask when selecting an AI-SPM solution: 1: Does the solution offer comprehensive visibility and control over AI and associated data risk? With the proliferation of AI models across enterprises, m...

Passwork is positioned as an on-premises unified platform for both password and secrets management, aiming to address the increasing complexity of credential storage and sharing in modern organizations. The platform recently received a major update that reworks all the core mechanics. Passwork 7 introduces significant changes to how credentials are organized, accessed, and managed, reflecting feedback from real-world users. The redesign prioritizes usability and security, with a focus on streamlining workflows and making key features more accessible. Passwork isn't trying to reinvent the wheel. Instead, it focuses on solving a very real problem: how do businesses keep credentials organized, secure, and accessible without adding complexity or risk? In this article, we'll look at what Passwork 7 delivers, how it fits into a business environment, and what makes it different. Below is a walkthrough of its main features and workflows. Getting started: User experience and onboarding The...

The world of enterprise technology is undergoing a dramatic shift. Gen-AI adoption is accelerating at an unprecedented pace, and SaaS vendors are embedding powerful LLMs directly into their platforms. Organizations are embracing AI-powered applications across every function, from marketing and development to finance and HR. This transformation unlocks innovation and efficiency, but it also introduces new risks. Enterprises must balance the promise of AI with the responsibility to protect their data, maintain compliance, and secure their expanding application supply chain. The New Risk Landscape With AI adoption comes a new set of challenges: AI Sprawl : Employees adopt AI tools independently, often without security oversight, creating blind spots and unmanaged risks. Supply Chain Vulnerabilities : interapplication integrations between AI tools and enterprise resources expand the attack surface and introduce dependencies and access paths enterprises can't easily control. Data Exp...

Introduction Managed service providers (MSPs) and managed security service providers (MSSPs) are under increasing pressure to deliver strong cybersecurity outcomes in a landscape marked by rising threats and evolving compliance requirements. At the same time, clients want better protection without managing cybersecurity themselves. Service providers must balance these growing demands with the need to work efficiently, deliver consistent results, and scale their offerings. Yet, many service providers still rely on manual processes that slow down delivery, make it harder to maintain consistency across clients, and limit the time teams have to focus on more strategic initiatives. Even experienced service providers can find themselves stretched thin as they try to meet rising client expectations while managing operational complexity. In this environment, automation offers an opportunity to work more effectively and deliver greater value. By streamlining repetitive tasks, improving con...

Story teaser text: Cybersecurity leaders face mounting pressure to stop attacks before they start, and the best defense may come down to the settings you choose on day one. In this piece, Yuriy Tsibere explores how default policies like deny-by-default, MFA enforcement, and application Ringfencing ™ can eliminate entire categories of risk. From disabling Office macros to blocking outbound server traffic, these simple but strategic moves create a hardened environment that attackers can't easily penetrate. Whether you're securing endpoints or overseeing policy rollouts, adopting a security-by-default mindset can reduce complexity, shrink your attack surface, and help you stay ahead of evolving threats. Cybersecurity has changed dramatically since the days of the "Love Bug" virus in 2001. What was once an annoyance is now a profit-driven criminal enterprise worth billions. This shift demands proactive defense strategies that don't just respond to threats—they prevent t...

The French data protection authority has fined Google and Chinese e-commerce giant Shein $379 million (€325 million) and $175 million (€150 million), respectively, for violating cookie rules. Both companies set advertising cookies on users' browsers without securing their consent, the National Commission on Informatics and Liberty (CNIL) said. Shein has since updated its systems to comply with the regulation. Reuters reported that the retailer plans to appeal the decision. "When creating a Google account, users were encouraged to choose cookies linked to the display of personalized advertisements, to the detriment of those linked to the display of generic advertisements and that users were not clearly informed that the deposit of cookies for advertising purposes was a condition to be able to access Google's services," the CNIL noted . The consent obtained in this manner is not valid and constitutes a violation of the French Data Protection Act (Article 82), it...

In January 2025, cybersecurity experts at Wiz Research found that Chinese AI specialist DeepSeek had suffered a data leak, putting more than 1 million sensitive log streams at risk. According to the Wiz Research team, they identified a publicly accessible ClickHouse database belonging to DeepSeek. This allowed "full control over database operations, including the ability to access internal data", Wiz Research stated, with more than a million lines of log streams involved, containing chat history, secret keys and more. Wiz immediately reported the issue to DeepSeek, which quickly secured the exposure. Still, the incident underscored the danger of data leakage. Intentional or unintentional? Data leakage is a broad concept, covering a range of scenarios. As IBM notes, the term in general refers to a scenario where "sensitive information is unintentionally exposed to unauthorized parties" .  It could be intentional or unintentional. On the intentional side...

Generative AI platforms like ChatGPT, Gemini, Copilot, and Claude are increasingly common in organizations. While these solutions improve efficiency across tasks, they also present new data leak prevention for generative AI challenges. Sensitive information may be shared through chat prompts, files uploaded for AI-driven summarization, or browser plugins that bypass familiar security controls. Standard DLP products often fail to register these events. Solutions such as Fidelis Network ® Detection and Response (NDR) introduce network-based data loss prevention that brings AI activity under control. This allows teams to monitor, enforce policies, and audit GenAI use as part of a broader data loss prevention strategy. Why Data Loss Prevention Must Evolve for GenAI Data loss prevention for generative AI requires shifting focus from endpoints and siloed channels to visibility across the entire traffic path. Unlike earlier tools that rely on scanning emails or storage shares, NDR technol...