Secure your MCP hosts with quantum-resistant identity and access management. Learn about lattice-based signatures, CRYSTALS-Dilithium, and 4D context-aware security.
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This week on the Lock and Code podcast, we speak with Zach Hinkle and MinJi Pae about TikTok's new American ownership—and it's new rules.
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How Can Organizations Protect Their Systems with Non-Human Identities? Have you ever considered the critical role that Non-Human Identities (NHIs) play in safeguarding your organization’s cybersecurity? Organizations are increasingly resorting to NHIs to maintain robust security protocols. These machine identities, a combination of encrypted passwords, tokens, or keys known as “Secrets,” are crucial for ensuring […]
The post How does NHI reassured stability in cybersecurity appeared first on Entro.
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How Does Non-Human Identity Management Boost Security in AI Architecture? What is the role of Non-Human Identity (NHI) management in securing AI-driven architecture? With cybersecurity professionals grapple with the complexities of protecting digital environments, the management of NHIs stands as a critical strategy in enhancing security measures. Where systems autonomously make decisions, the protection of […]
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Are Non-Human Identities the New Frontier in Cybersecurity? Where cyber threats loom large, an often-overlooked challenge is the protection and management of Non-Human Identities (NHIs). Cybersecurity is evolving rapidly, and professionals across various sectors are increasingly recognizing the strategic importance of NHIs. But what exactly are these identities, and why should cybersecurity experts be optimistic […]
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Are DevOps Teams Finding Relief with Automated NHI Lifecycle Management? The integration of Non-Human Identities (NHIs) and Secrets Security Management into DevOps processes has emerged as a crucial strategy. But how exactly is this automation impacting the workflow and peace of mind for DevOps teams? The Growing Importance of NHIs in Cybersecurity Non-Human Identities, often […]
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The University of Mississippi Medical Center shut down operations at its 35 medical clinics around the state following a ransomware attack. Healthcare facilities are top targets for cybercriminals, who look to steal the sensitive data they hold for both money and intelligence gathering.
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Session 13B: API Security
Authors, Creators & Presenters: Yi Yang (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, China), Jinghua Liu (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, China), Kai Chen (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, China), Miaoqian Lin (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, China)
PAPER
The Midas Touch: Triggering the Capability of LLMs for RM-API Misuse Detection
As the basis of software resource management (RM), strictly following the RM-API constraints guarantees secure resource management and software. To enhance the RM-API application, researchers find it effective in detecting RM-API misuse on open-source software according to RM-API constraints retrieved from documentation and code. However, the current pattern-matching constraint retrieval methods have limitations: the documentation-based methods leave many API constraints irregularly distributed or involving neutral sentiment undiscovered; the code-based methods result in many false bugs due to incorrect API usage since not all high-frequency usages are correct. Therefore, people propose to utilize Large Language Models (LLMs) for RM-API constraint retrieval with their potential on text analysis and generation. However, directly using LLMs has limitations due to the hallucinations. The LLMs fabricate answers without expertise leaving many RM APIs undiscovered and generating incorrect answers even with evidence introducing incorrect RM-API constraints and false bugs. In this paper, we propose an LLM-empowered RM-API misuse detection solution, ChatDetector, which fully automates LLMs for documentation understanding which helps RM-API constraints retrieval and RM-API misuse detection. To correctly retrieve the RM-API constraints, ChatDetector is inspired by the ReAct framework which is optimized based on Chain-of-Thought (CoT) to decompose the complex task into allocation APIs identification, RM-object (allocated/released by RM APIs) extraction and RM-APIs pairing (RM APIs usually exist in pairs). It first verifies the semantics of allocation APIs based on the retrieved RM sentences from API documentation through LLMs. Inspired by the LLMs' performance on various prompting methods, ChatDetector adopts a two-dimensional prompting approach for cross-validation. At the same time, an inconsistency-checking approach between the LLMs' output and the reasoning process is adopted for the allocation APIs confirmation with an off-the-shelf Natural Language Processing (NLP) tool. To accurately pair the RM-APIs, ChatDetector decomposes the task again and identifies the RM-object type first, with which it can then accurately pair the releasing APIs and further construct the RM-API constraints for misuse detection. With the diminished hallucinations, ChatDetector identifies 165 pairs of RM-APIs with a precision of 98.21% compared with the state-of-the-art API detectors. By employing a static detector CodeQL, we ethically report 115 security bugs on the applications integrating on six popular libraries to the developers, which may result in severe issues, such as Denial-of-Services (DoS) and memory corruption. Compared with the end-to-end benchmark method, the result shows that ChatDetector can retrieve at least 47% more RM sentences and 80.85% more RM-API constraints. Since no work exists specified in utilizing LLMs for RM-API misuse detection to our best knowledge, the inspiring results show that LLMs can assist in generating more constraints beyond expertise and can be used for bug detection. It also indicates that future research could transfer from overcoming the bottlenecks of traditional NLP tools to creatively utilizing LLMs for security research.
ABOUT NDSS
The Network and Distributed System Security Symposium (NDSS) fosters information exchange among researchers and practitioners of network and distributed system security. The target audience includes those interested in practical aspects of network and distributed system security, with a focus on actual system design and implementation. A major goal is to encourage and enable the Internet community to apply, deploy, and advance the state of available security technologies.
Our thanks to the Network and Distributed System Security (NDSS) Symposium for publishing their Creators, Authors and Presenter’s superb NDSS Symposium 2025 Conference content on the Organizations' YouTube Channel.
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“We do not know how long this situation may last. As a precaution, all of our IT systems have been taken down, and a risk assessment will be conducted before we bring things back up.” Vice Chancellor LouAnn Woodward of the University of Mississippi Medical Center uttered these words standing before cameras on Thursday, February […]
The post In 2026, Businesses Should Be Breach Ready and Never Shut Down Their Core Business appeared first on ColorTokens.
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How Can We Enhance Security with Effective Non-Human Identity Management? Can your organization’s security posture handle the growing complexity of machine identities and their secrets? With the increasing deployment of microservices and containerized applications, managing non-human identities (NHIs) has become a critical part of information security strategies. But what makes NHI management so integral to […]
The post Can Agentic AI boost confidence in privileged access management appeared first on Entro.
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Can SOC Teams Really Rely on Non-Human Identities for Cybersecurity? SOC (Security Operations Center) teams are continually challenged to adapt and respond to emerging cybersecurity vulnerabilities. When threats evolve, traditional security measures can often fall short. This is where Non-Human Identities (NHIs) come into play, offering innovative solutions to bolster security protocols. Understanding the Concept […]
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How Secure Is Your Travel Data with Agentic AI? Can we truly rely on Agentic AI to keep our travel data secure? The rise of artificial intelligence in managing personal and sensitive data has led to increased concerns about privacy and security. While we continue our journey through digital, it’s crucial to evaluate the effectiveness […]
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How Do Non-Human Identities Transform Cloud Security? Are your organization’s security measures keeping pace with evolving threats? The rise of Non-Human Identities (NHIs) is reshaping how we approach cloud security by closing gaps that have long persisted between security and R&D teams. Where businesses increasingly migrate to cloud environments, the effective management of these machine […]
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Session 13A: JavaScript Security
Authors, Creators & Presenters: Liam Wachter (EPFL), Julian Gremminger (EPFL), Christian Wressnegger (Karlsruhe Institute of Technology (KIT)), Mathias Payer (EPFL), Flavio Toffalini (EPFL)
PAPER
DUMPLING: Fine-Grained Differential JavaScript Engine Fuzzing
Web browsers are ubiquitous and execute untrusted JavaScript (JS) code. JS engines optimize frequently executed code through just-in-time (JIT) compilation. Subtly conflicting assumptions between optimizations frequently result in JS engine vulnerabilities. Attackers can take advantage of such diverging assumptions and use the flexibility of JS to craft exploits that produce a miscalculation, remove bounds checks in JIT compiled code, and ultimately gain arbitrary code execution. Classical fuzzing approaches for JS engines only detect bugs if the engine crashes or a runtime assertion fails. Differential fuzzing can compare interpreted code against optimized JIT compiled code to detect differences in execution. Recent approaches probe the execution states of JS programs through ad-hoc JS functions that read the value of variables at runtime. However, these approaches have limited capabilities to detect diverging executions and inhibit optimizations during JIT compilation, thus leaving JS engines under-tested. We propose DUMPLING, a differential fuzzer that compares the full state of optimized and unoptimized execution for arbitrary JS programs. Instead of instrumenting the JS input, DUMPLING instruments the JS engine itself, enabling deep and precise introspection. These extracted fine-grained execution states, coined as (frame) dumps, are extracted at a high frequency even in the middle of JIT compiled functions. DUMPLING finds eight new bugs in the thoroughly tested V8 engine, where previous differential fuzzing approaches struggled to discover new bugs. We receive $11,000 from Google's Vulnerability Rewards Program for reporting the vulnerabilities found by DUMPLING.
ABOUT NDSS
The Network and Distributed System Security Symposium (NDSS) fosters information exchange among researchers and practitioners of network and distributed system security. The target audience includes those interested in practical aspects of network and distributed system security, with a focus on actual system design and implementation. A major goal is to encourage and enable the Internet community to apply, deploy, and advance the state of available security technologies.
Our thanks to the Network and Distributed System Security (NDSS) Symposium for publishing their Creators, Authors and Presenter’s superb NDSS Symposium 2025 Conference content on the Organizations' YouTube Channel.
The post NDSS 2025 -DUMPLING: Fine-Grained Differential JavaScript Engine Fuzzing appeared first on Security Boulevard.
With rapid technological progress, it is estimated that nearly 200 billion connected devices, ranging from medical equipment and industrial machines to cars, smartphones, and home appliances, will be communicating through the Internet of Things (IoT) and Industrial IoT (IIoT). This massive interconnected ecosystem creates an enormous attack surface for attackers to exploit, disrupt, and infiltrate. […]
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Are Organizations Fully Realizing the Potential of Non-Human Identities in Cloud-Native Security Solutions? Where businesses continually strive for digital transformation, how do they ensure their security infrastructures evolve at the same swift pace when their innovative endeavors? For sectors like financial services, healthcare, and DevOps, where sensitive data is the currency of trust, the stakes […]
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The Critical Role of Agentic AI in Enhancing Cloud Compliance Monitoring How do organizations ensure their cloud systems remain compliant in real-time amidst evolving threats? The implementation of Agentic AI in compliance monitoring has emerged as a proactive strategy for bridging the security gap in cloud environments, especially when it comes to Non-Human Identities (NHIs). […]
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Are You Adequately Protecting Your Organization with NHI Management? Where information is a cornerstone for business operations, safeguarding data has become paramount for organizations across various industries. How do Non-Human Identities (NHIs) play a role, and why should cybersecurity teams incorporate NHI management into their strategy? Understanding Non-Human Identities in Cybersecurity When we talk about […]
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How Do Non-Human Identities Revolutionize Cloud Security? Maintaining robust cybersecurity measures is crucial. One area rapidly gaining attention is the management of Non-Human Identities (NHIs), which plays a vital role in ensuring cloud security. But why are NHIs important? And how can they help bridge the gap between security and R&D teams? The Role of […]
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Lasso Security this week added an ability to analyze the behavior of an artificial intelligence (AI) agent to better understand what guardrails and controls need to be applied. Ophir Dror, chief product officer for Lasso Security, said Intent Deputy adds a behavioral intent framework to the company’s platform for securing AI applications and agents. The..
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