472 matches found
agentc-llamaindex (0.2.5a2), agentia (>=0.0.2, <=0.0.10) +243 more potentially affected by CVE-2026-22690 via pypdf (5.9.0)
pypdf PYPI version 5.9.0 is affected by a known vulnerability. The following packages have a transitive dependency on pypdf and may be impacted: - agentc-llamaindex 0.2.5a2 - agentia =0.0.2, =0.0.1, =0.1.4, =0.1.0a0.dev0, =0.2.0a0, =1.1.0a20250429, =3.1.8, =1.0.5, =1.0.0, =0.1.0, =1.1.1, =1.4.2,...
AI & Humans: Making the Relationship Work
Leaders of many organizations are urging their teams to adopt agentic AI to improve efficiency, but are finding it hard to achieve any benefit. Managers attempting to add AI agents to existing human teams may find that bots fail to faithfully follow their instructions, return pointless or obvious...
Agent Grant: From Identity Signals to Measurable Risk Reduction
Executive Summary Identity is now the 1 attack surface. Agent Grant in Qualys ETM Identity uses agentic AI to measure and reduce identity risk across AD, Entra, Okta & other cloud IdPs/IDaaS. It operationalizes identity risk by turning messy Active Directory & identity-risk signals into validated...
A Survey of Agentic AI and Cybersecurity: Challenges, Opportunities and Use-Case Prototypes
Agentic AI marks an important transition from single-step generative models to systems capable of reasoning, planning, acting, and adapting over long-lasting tasks. By integrating memory, tool use, and iterative decision cycles, these systems enable continuous, autonomous workflows in real-world...
Rethinking Secure Semantic Communications in the Age of Generative and Agentic AI: Threats and Opportunities
Semantic communication SemCom improves communication efficiency by transmitting task-relevant information instead of raw bits and is expected to be a key technology for 6G networks. Recent advances in generative AI GenAI further enhance SemCom by enabling robust semantic encoding and decoding und...
agentic-kernel (>=0.1.0, <=0.1.10), boterview (1.3.0) +4 more potentially affected by CVE-2026-22218 via chainlit (>=2.4.400, <=2.6.3)
chainlit PYPI version =2.4.400, =0.1.0, =0.1.1, =0.1.0, =0.2.2, =0.2.4 Source cves: CVE-2026-22218 Source advisory: SNYK:PYTHON-CHAINLIT-14829575...
2025 exposed the risks we ignored while rushing AI
This blog is part of a series where we highlight new or fast-evolving threats in the consumer security landscape. This one looks at how the rapid rise ofArtificial Intelligence AI is putting users at risk. In 2025 we saw an ever-accelerating race between AI providers to push out new features. We...
Toward Trustworthy Agentic AI: A Multimodal Framework for Preventing Prompt Injection Attacks
Powerful autonomous systems, which reason, plan, and converse using and between numerous tools and agents, are made possible by Large Language Models LLMs, Vision-Language Models VLMs, and new agentic AI systems, like LangChain and GraphChain. Nevertheless, this agentic environment increases the...
Agentic AI for Autonomous Defense in Software Supply Chain Security: Beyond Provenance to Vulnerability Mitigation
The software supply chain attacks are becoming more and more focused on trusted development and delivery procedures, so the conventional post-build integrity mechanisms cannot be used anymore. The available frameworks like SLSA, SBOM and in toto are majorly used to offer provenance and traceabili...
Zero-Trust Agentic Federated Learning for Secure IIoT Defense Systems
Recent attacks on critical infrastructure, including the 2021 Oldsmar water treatment breach and 2023 Danish energy sector compromises, highlight urgent security gaps in Industrial IoT IIoT deployments. While Federated Learning FL enables privacy-preserving collaborative intrusion detection,...
Agentic AI for Cyber Resilience: A New Security Paradigm and Its System-Theoretic Foundations
Cybersecurity is being fundamentally reshaped by foundation-model-based artificial intelligence. Large language models now enable autonomous planning, tool orchestration, and strategic adaptation at scale, challenging security architectures built on static rules, perimeter defenses, and...
Securing Agentic AI Systems -- a Multilayer Security Framework
Securing Agentic Artificial Intelligence AI systems requires addressing the complex cyber risks introduced by autonomous, decision-making, and adaptive behaviors. Agentic AI systems are increasingly deployed across industries, organizations, and critical sectors such as cybersecurity, finance, an...
New Microsoft e-book: 3 reasons point solutions are holding you back
While patchwork tools slow defenders down and impact visibility into potential cyberthreats, they’re an unfortunate reality for many organizations. As digital risk accelerates and attack surfaces multiply, security leaders are doing their best to stitch together point solutions while trying to...
Security Risks of Agentic Vehicles: A Systematic Analysis of Cognitive and Cross-Layer Threats
Agentic AI is increasingly being explored and introduced in both manually driven and autonomous vehicles, leading to the notion of Agentic Vehicles AgVs, with capabilities such as memory-based personalization, goal interpretation, strategic reasoning, and tool-mediated assistance. While framework...
Penetration Testing of Agentic AI: A Comparative Security Analysis across Models and Frameworks
Agentic AI introduces security vulnerabilities that traditional LLM safeguards fail to address. Although recent work by Unit 42 at Palo Alto Networks demonstrated that ChatGPT-4o successfully executes attacks as an agent that it refuses in chat mode, there is no comparative analysis in multiple...
Agentic AI for 6G: A New Paradigm for Autonomous RAN Security Compliance
Agentic AI systems are emerging as powerful tools for automating complex, multi-step tasks across various industries. One such industry is telecommunications, where the growing complexity of next-generation radio access networks RANs opens up numerous opportunities for applying these systems...
AI Pulse: The First Agentic Cyber Week
In 2025, AI bots officially entered Cyber Week. Learn how agents shaped traffic and shopper intent — and why retailers must optimize for AI-driven commerce...
Agentic Artificial Intelligence for Ethical Cybersecurity in Uganda: A Reinforcement Learning Framework for Threat Detection in Resource-Constrained Environments
Uganda's rapid digital transformation, supported by national strategies such as Vision 2040 and the Digital Transformation Roadmap, has expanded reliance on networked services while simultaneously increasing exposure to sophisticated cyber threats. In resource-constrained settings, commonly...
The Evolution of Agentic AI in Cybersecurity: From Single LLM Reasoners to Multi-Agent Systems and Autonomous Pipelines
Cybersecurity has become one of the earliest adopters of agentic AI, as security operations centers increasingly rely on multi-step reasoning, tool-driven analysis, and rapid decision-making under pressure. While individual large language models can summarize alerts or interpret unstructured...
