Fluid-Antenna-Aided AAV Secure Communications in Eavesdropper Uncertain Location

For autonomous aerial vehicle AAV secure communications, traditional designs based on fixed position antenna FPA lack sufficient spatial degrees of freedom DoF, which leaves the line-of-sight-dominated AAV links vulnerable to eavesdropping. To overcome this problem, this paper proposes a framewor...

Asymmetry Vulnerability and Physical Attacks on Online Map Construction for Autonomous Driving

High-definition maps provide precise environmental information essential for prediction and planning in autonomous driving systems. Due to the high cost of labeling and maintenance, recent research has turned to online HD map construction using onboard sensor data, offering wider coverage and mor...

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles

Autonomous vehicles AVs rely on complex perception and communication systems, making them vulnerable to adversarial attacks that can compromise safety. While simulation offers a scalable and safe environment for robustness testing, existing frameworks typically lack comprehensive supportfor...

CyberSleuth: Autonomous Blue-Team LLM Agent for Web Attack Forensics

Large Language Model LLM agents are powerful tools for automating complex tasks. In cybersecurity, researchers have primarily explored their use in red-team operations such as vulnerability discovery and penetration tests. Defensive uses for incident response and forensics have received...

Securing and governing the rise of autonomous agents​​

In this blog, you will hear directly from Corporate Vice President and Deputy Chief Information Security Officer CISO for Identity, Igor Sakhnov, about how to secure and govern autonomous agents. This blog is part of a new ongoing series where our Deputy CISOs share their thoughts on what is most...

Securing and governing the rise of autonomous agents​​

In this blog, you will hear directly from Corporate Vice President and Deputy Chief Information Security Officer CISO for Identity, Igor Sakhnov, about how to secure and govern autonomous agents. This blog is part of a new ongoing series where our Deputy CISOs share their thoughts on what is most...

FALCON: Autonomous Cyber Threat Intelligence Mining with LLMs for IDS Rule Generation

Signature-based Intrusion Detection Systems IDS detect malicious activities by matching network or host activity against predefined rules. These rules are derived from extensive Cyber Threat Intelligence CTI, which includes attack signatures and behavioral patterns obtained through automated tool...

AI Agents Need Data Integrity

Think of the Web as a digital territory with its own social contract. In 2014, Tim Berners-Lee called for a "Magna Carta for the Web" to restore the balance of power between individuals and institutions. This mirrors the original charter's purpose: ensuring that those who occupy a territory have ...

How Agentic AI Helps with Adaptive Cloud Risk Assessment with Agent Vikram

In fast-moving cloud environments like AWS, security teams face an uncomfortable truth: not every EC2 instance is being scanned, existing tools don’t work across a diverse environment that includes long-lived and ephemeral assets, and visibility is never complete. Qualys research found that over...

Agentic AI: How Autonomous Agents are Changing the Game

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Webinar: What the Next Wave of AI Cyberattacks Will Look Like — And How to Survive

The AI revolution isn't coming. It's already here. From copilots that write our emails to autonomous agents that can take action without us lifting a finger, AI is transforming how we work. But here's the uncomfortable truth: Attackers are evolving just as fast. Every leap forward in AI gives bad...

ScamAgents: How AI Agents Can Simulate Human-Level Scam Calls

Large Language Models LLMs have demonstrated impressive fluency and reasoning capabilities, but their potential for misuse has raised growing concern. In this paper, we present ScamAgent, an autonomous multi-turn agent built on top of LLMs, capable of generating highly realistic scam call scripts...

Qualys has introduced Agentic AI, a solution for autonomous cyber risk management

Qualys hasintroducedAgentic AI, a solution for autonomous cyber risk management. As part of this solution, Qualys provides ready-to-use Cyber Risk Agents that operate autonomously and act as an additional skilled digital workforce. Agentic AI not only detects issues and provides analytics but als...

Unpacking Qualys Agentic AI: Technical Insights into Its Architecture and Capabilities

Agentic AI revolutionizes how enterprise organizations leverage artificial intelligence by introducing systems designed to function as autonomous agents capable of planning, decision-making, and executing complex workflows with minimal human oversight. Unlike traditional AI, which often performs...

From Exposure Whack-a-Mole to Autonomous Cyber Risk Management: Meet Agentic AI on the Qualys Platform

Cyber threats are increasing in both volume and sophistication, while the enterprise attack surface continues to expand. This puts immense pressure on security teams, who are already overwhelmed by tool sprawl and a flood of disconnected findings—often lacking the context needed to prioritize bas...

ASINT: Learning AS-To-Organization Mapping from Internet Metadata

Accurately mapping Autonomous Systems ASNs to their owning or operating organizations underpins Internet measurement research and security applications. Yet existing approaches commonly rely solely on WHOIS or PeeringDB, missing important relationships e.g., cross-regional aliases, parent-child...

Large Reasoning Models Are Autonomous Jailbreak Agents

Jailbreaking -- bypassing built-in safety mechanisms in AI models -- has traditionally required complex technical procedures or specialized human expertise. In this study, we show that the persuasive capabilities of large reasoning models LRMs simplify and scale jailbreaking, converting it into a...

GPU in the Blind Spot: Overlooked Security Risks in Transportation

Graphics processing units GPUs are becoming an essential part of the intelligent transportation system ITS for enabling video-based and artificial intelligence AI based applications. GPUs provide high-throughput and energy-efficient computing for tasks like sensor fusion and roadside video...

The vulnerability of the monitoring, analysis, and automatic issue resolution platform of Palo Alto Networks Autonomous Digital Experience Manager lies in improper privilege assignment, allowing attackers to elevate their privileges to the root level.

The vulnerability of the monitoring, analysis, and automatic issue resolution platform used by Palo Alto Networks Autonomous Digital Experience Manager is related to improper privilege assignment. Exploiting this vulnerability can allow attackers to elevate their privileges to the root level...

Leveraging Trustworthy AI for Automotive Security in Multi-Domain Operations: Towards a Responsive Human-AI Multi-Domain Task Force for Cyber Social Security

Multi-Domain Operations MDOs emphasize cross-domain defense against complex and synergistic threats, with civilian infrastructures like smart cities and Connected Autonomous Vehicles CAVs emerging as primary targets. As dual-use assets, CAVs are vulnerable to Multi-Surface Threats MSTs,...