300 matches found
Charting the future of SOC: Human and AI collaboration for better security
Security operations centers are under pressure from unprecedented scale and complexity. Speed, precision, and consistency matter more than ever, and AI is everywhere—but hype alone doesn’t solve the challenge. This blog shares our journey and insights from building autonomous AI agents for MDR...
It’s not personal, it’s just business
Welcome to this week's edition of the Threat Source newsletter. This week, we explore how advances in agentic AI are rapidly transforming the cyber crime business. Agentic AI programming gives AI agents autonomy, allowing them to interact with external systems to collect information, make decisio...
Bot Management for the Agentic Era
Learn how bot management is evolving in the age of AI agents, with new authentication standards, monetization models, and ways to manage AI-driven automation...
Ambient and autonomous security for the agentic era
Over the past year, I've had countless conversations with customers who are striving to unlock human ambition with AI. They are on their journey to become Frontier Firms, where humans and agents push the boundaries of innovation and create new possibilities, empowering humans to become limitless...
Redefining Enterprise Defense in the Era of AI-Led Cyberattacks
More cybercriminals are turning to using autonomous AI tools to upgrade their attacks, as exemplified by the recent utilization of Anthropic’s Claude Code, prompting an urgent need for enterprises to adopt agentic AI-driven security platforms and proactive defenses to counter AI-related threats...
CVE-2025-62222 Agentic AI and Visual Studio Code Remote Code Execution Vulnerability
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CVE-2025-62222 Agentic AI and Visual Studio Code Remote Code Execution Vulnerability
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CVE-2025-62222
The CVE-2025-62222 issue affects the Visual Studio Code CoPilot Chat Extension, with a command injection flaw caused by improper handling of special characters in user-controlled input. It enables remote code execution over the network when exploited against versions prior to 0.32.5. Mitigation: ...
1 PoCo: Agentic Proof-Of-Concept Exploit Generation for Smart Contracts
Smart contracts operate in a highly adversarial environment, where vulnerabilities can lead to substantial financial losses. Thus, smart contracts are subject to security audits. In auditing, proof-of-concept PoC exploits play a critical role by demonstrating to the stakeholders that the reported...
Aembit Introduces Identity and Access Management for Agentic AI
Silver Spring, USA/ Maryland, 30th October 2025, CyberNewsWire...
The State of Agentic AI: Disrupting Publishing and Reshaping Ecommerce
Learn how agentic AI is transforming how users and automation interact with the web — changing how people shop, search, and consume content...
Discover Practical AI Tactics for GRC — Join the Free Expert Webinar
Artificial Intelligence AI is rapidly transforming Governance, Risk, and Compliance GRC. It's no longer a future concept—it's here, and it's already reshaping how teams operate. AI's capabilities are profound: it's speeding up audits, flagging critical risks faster, and drastically cutting down o...
Preparing for the Digital Battlefield of 2026: Ghost Identities, Poisoned Accounts, & AI Agent Havoc
BeyondTrust's annual cybersecurity predictions point to a year where old defenses will fail quietly, and new attack vectors will surge. Introduction The next major breach won't be a phished password. It will be the result of a massive, unmanaged identity debt. This debt takes many forms: it's the...
AAGATE: A NIST AI RMF-Aligned Governance Platform for Agentic AI
This paper introduces the Agentic AI Governance Assurance & Trust Engine AAGATE, a Kubernetes-native control plane designed to address the unique security and governance challenges posed by autonomous, language-model-driven agents in production. Recognizing the limitations of traditional...
AgentCyTE: Leveraging Agentic AI to Generate Cybersecurity Training and Experimentation Scenarios
Designing realistic and adaptive networked threat scenarios remains a core challenge in cybersecurity research and training, still requiring substantial manual effort. While large language models LLMs show promise for automated synthesis, unconstrained generation often yields configurations that...
Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges
Agentic AI systems powered by large language models LLMs and endowed with planning, tool use, memory, and autonomy, are emerging as powerful, flexible platforms for automation. Their ability to autonomously execute tasks across web, software, and physical environments creates new and amplified...
Securing AI to Benefit from AI
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...
How Trend Micro Empowers the SOC with Agentic SIEM
By delivering both XDR leadership and Agentic SIEM innovation under one platform, Trend is redefining what security operations can be...
Protected with Opera Neon: Understanding agentic browser security
Security Protected with Opera Neon: Understanding agentic browser security Share October 21st, 2025 Hi Opera users, If you were hanging out around these parts in the past few weeks, you might have noticed that we launched Opera Neon – an AI agentic browser that can browse with you or for you, tak...
Agentic AI’s OODA Loop Problem
The OODA loop --for observe, orient, decide, act--is a framework to understand decision-making in adversarial situations. We apply the same framework to artificial intelligence agents, who have to make their decisions with untrustworthy observations and orientation. To solve this problem, we need...