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The Open Web Application Security Project has recently introduced a new Top 10 project - the Non-Human Identity (NHI) Top 10. For years, OWASP has provided security professionals and developers with essential guidance and actionable frameworks through its Top 10 projects, including the widely used API and Web Application security lists.  Non-human identity security represents an emerging interest in the cybersecurity industry, encompassing the risks and lack of oversight associated with API keys, service accounts , OAuth apps, SSH keys, IAM roles, secrets, and other machine credentials and workload identities.  Considering that the flagship OWASP Top 10 projects already cover a broad range of security risks developers should focus on, one might ask - do we really need the NHI Top 10? The short answer is - yes . Let's see why, and explore the top 10 NHI risks.  Why we need the NHI Top 10 While other OWASP projects might touch on related vulnerabilities, such as secret...

Behind every click, there's a risk waiting to be tested. A simple ad, email, or link can now hide something dangerous. Hackers are getting smarter, using new tools to sneak past filters and turn trusted systems against us. But security teams are fighting back. They're building faster defenses, better ways to spot attacks, and stronger systems to keep people safe. It's a constant race — every move by attackers sparks a new response from defenders. In this week's ThreatsDay Bulletin, we look at the latest moves in that race — from new malware and data leaks to AI tools, government actions, and major security updates shaping the digital world right now. U.K. moves to tighten cyber rules for key sectors U.K. Debuts Cyber Security and Resilience Bill The U.K. government has proposed a new Cyber Security and Resilience Bill that aims to strengthen national security and secure public services like healthcare, drinking wat...

Cyber threats today don't just evolve—they mutate rapidly, testing the resilience of everything from global financial systems to critical infrastructure. As cybersecurity confronts new battlegrounds—ranging from nation-state espionage and ransomware to manipulated AI chatbots—the landscape becomes increasingly complex, prompting vital questions: How secure are our cloud environments? Can our IoT devices be weaponized unnoticed? What happens when cybercriminals leverage traditional mail for digital ransom? This week's events reveal a sobering reality: state-sponsored groups are infiltrating IT supply chains, new ransomware connections are emerging, and attackers are creatively targeting industries previously untouched. Moreover, global law enforcement actions highlight both progress and persistent challenges in countering cybercrime networks. Dive into this edition to understand the deeper context behind these developments and stay informed about threats that continue reshap...

Cybersecurity researchers have disclosed a high-severity security flaw in the artificial intelligence (AI)-powered code editor Cursor that could result in remote code execution. The vulnerability, tracked as CVE-2025-54136 (CVSS score: 7.2), has been codenamed MCPoison by Check Point Research, owing to the fact that it exploits a quirk in the way the software handles modifications to Model Context Protocol (MCP) server configurations. "A vulnerability in Cursor AI allows an attacker to achieve remote and persistent code execution by modifying an already trusted MCP configuration file inside a shared GitHub repository or editing the file locally on the target's machine," Cursor said in an advisory released last week. "Once a collaborator accepts a harmless MCP, the attacker can silently swap it for a malicious command (e.g., calc.exe) without triggering any warning or re-prompt." MCP is an open-standard developed by Anthropic that allows large language mode...

DALL-E for coders? That's the promise behind vibe coding, a term describing the use of natural language to create software. While this ushers in a new era of AI-generated code, it introduces "silent killer" vulnerabilities: exploitable flaws that evade traditional security tools despite perfect test performance. A detailed analysis of secure vibe coding practices is available here . TL;DR: Secure Vibe Coding Vibe coding, using natural language to generate software with AI, is revolutionizing development in 2025. But while it accelerates prototyping and democratizes coding, it also introduces "silent killer" vulnerabilities: exploitable flaws that pass tests but evade traditional security tools. This article explores: Real-world examples of AI-generated code in production Shocking stats: 40% higher secret exposure in AI-assisted repos Why LLMs omit security unless explicitly prompted Secure prompting techniques and tool comparisons (GPT-4, Claude, Cursor, etc.) Reg...

Human identities management and control is pretty well done with its set of dedicated tools, frameworks, and best practices. This is a very different world when it comes to Non-human identities also referred to as machine identities. GitGuardian's end-to-end NHI security platform is here to close the gap. Enterprises are Losing Track of Their Machine Identities Machine identities–service accounts, API keys, bots, automation, and workload identities–that now outnumber humans by up to 100:1 are in fact a massive blind spot in companies' security landscape: Without robust governance, NHIs become a prime target for attackers. Orphaned credentials, over-privileged accounts, and "zombie" secrets are proliferating—especially as organizations accelerate cloud adoption, integrate AI-powered agents, and automate their infrastructure . Secrets Sprawl: The New Attack Surface GitGuardian's research shows that 70% of valid secrets detected in public repositories in 2022 remained active in ...

When we talk about identity in cybersecurity, most people think of usernames, passwords, and the occasional MFA prompt. But lurking beneath the surface is a growing threat that does not involve human credentials at all, as we witness the exponential growth of Non-Human Identities (NHIs).  At the top of mind when NHIs are mentioned, most security teams immediately think of Service Accounts . But NHIs go far beyond that. You've got Service Principals , Snowflake Roles , IAM Roles , and platform-specific constructs from AWS, Azure, GCP, and more. The truth is, NHIs can vary just as widely as the services and environments in your modern tech stack, and managing them means understanding this diversity. The real danger lies in how these identities authenticate. Secrets: The Currency of Machines Non-Human Identities, for the most part, authenticate using secrets : API keys, tokens, certificates, and other credentials that grant access to systems, data, and critical infrastructure. Th...

Talking about AI: Definitions Artificial Intelligence (AI) — AI refers to the simulation of human intelligence in machines, enabling them to perform tasks that typically require human intelligence, such as decision-making and problem-solving. AI is the broadest concept in this field, encompassing various technologies and methodologies, including Machine Learning (ML) and Deep Learning. Machine Learning (ML) — ML is a subset of AI that focuses on developing algorithms and statistical models that allow machines to learn from and make predictions or decisions based on data. ML is a specific approach within AI, emphasizing data-driven learning and improvement over time. Deep Learning (DL) — Deep Learning is a specialized subset of ML that uses neural networks with multiple layers to analyze and interpret complex data patterns. This advanced form of ML is particularly effective for tasks such as image and speech recognition, making it a crucial component of many AI applications. Larg...

The heightened regulatory and legal pressure on software-producing organizations to secure their supply chains and ensure the integrity of their software should come as no surprise. In the last several years, the software supply chain has become an increasingly attractive target for attackers who see opportunities to force-multiply their attacks by orders of magnitude. For example, look no further than 2021's Log4j breach, where Log4j (an open-source logging framework maintained by Apache and used in a myriad of different applications) was the root of exploits that put thousands of systems at risk.  Log4j's communication functionality was vulnerable and thus provided an opening for an attacker to inject malicious code into the logs which could then be executed on the system. After its discovery, security researchers saw millions of attempted exploits, many of which turned into successful denial-of-service (DoS) attacks. According to some of the latest research by Gartner, close t...