438 matches found
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...
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...
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...
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...
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...
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...
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...
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...
Bringing the Power of Agentic AI for Identity Risk, Adaptive Threat Prioritization, and Exposure Exploitability Validation
Qualys Enterprise TruRisk Management ETM extends the power of risk operations with agentic AI — Introducing ETM Identity, TruLens for industry-based threat prioritization, and TruConfirm exposure exploitability validation to accelerate your remediation. Every year at our yearly conference, now...
In-Browser LLM-Guided Fuzzing for Real-Time Prompt Injection Testing in Agentic AI Browsers
Large Language Model LLM based agents integrated into web browsers often called agentic AI browsers offer powerful automation of web tasks. However, they are vulnerable to indirect prompt injection attacks, where malicious instructions hidden in a webpage deceive the agent into unwanted actions...
From Prompts to Protocols: How Agentic Systems, MCP, Vibe Coding, and Schema-Aware Tools Are Rewiring Software Engineering
Modern software engineering faces growing complexity across codebases, environments, and workflows. Traditional tools, although effective, rely heavily on…...
The AI SOC Stack of 2026: What Sets Top-Tier Platforms Apart?
The SOC of 2026 will no longer be a human-only battlefield. As organizations scale and threats evolve in sophistication and velocity, a new generation of AI-powered agents is reshaping how Security Operations Centers SOCs detect, respond, and adapt. But not all AI SOC platforms are created equal...
The AI SOC Stack of 2026: What Sets Top-Tier Platforms Apart?
The SOC of 2026 will no longer be a human-only battlefield. As organizations scale and threats evolve in sophistication and velocity, a new generation of AI-powered agents is reshaping how Security Operations Centers SOCs detect, respond, and adapt. But not all AI SOC platforms are created equal...
A Survey on Agentic Security: Applications, Threats and Defenses
The rapid shift from passive LLMs to autonomous LLM-agents marks a new paradigm in cybersecurity. While these agents can act as powerful tools for both offensive and defensive operations, the very agentic context introduces a new class of inherent security risks. In this work we present the first...
Agentic Misalignment: How LLMs Could Be Insider Threats
We stress-tested 16 leading models from multiple developers in hypothetical corporate environments to identify potentially risky agentic behaviors before they cause real harm. In the scenarios, we allowed models to autonomously send emails and access sensitive information. They were assigned only...
