The End of Trust: How Agentic AI Breaks Security Assumptions

For decades, the security of digital interaction has rested on an unacknowledged economic constraint. Attackers faced a tradeoff between the fidelity of a deception and the scale at which it could be deployed. Convincing impersonation required sustained human effort and was confined to a narrow s...

MATRA: Modeling the Attack Surface of Agentic AI Systems -- OpenClaw Case Study

LLMs are increasingly deployed as autonomous agents with access to tools, databases, and external services, yet practitioners across different sectors lack systematic methods to assess how known threat classes translate into concrete risks within a specific agentic deployment. We present MATRA, a...

Malicious code in unisys-agentic-ai-playground (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 13ec6c43f5a186c6e78aca52041174240070088e17078f1bcb9f63ac0d55f5f0 The package unisys-agentic-ai-playground was found to contain malicious code. Source: ossf-package-analysis...

MAL-2026-2874 Malicious code in unisys-agentic-ai-playground (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 13ec6c43f5a186c6e78aca52041174240070088e17078f1bcb9f63ac0d55f5f0 The package unisys-agentic-ai-playground was found to contain malicious code. Source: ossf-package-analysis...

The AI Arms Race – Why Unified Exposure Management Is Becoming a Boardroom Priority

The cybersecurity landscape is accelerating at an unprecedented rate. What is emerging is not simply a rise in the number of vulnerabilities or tools, but a dramatic increase in speed. Speed of attack, speed of exploitation, and speed of change across modern environments. This is the defining...

TrendAI™ Research at RSAC 2026: Advancing Defense Across AI‑Driven and Cyber‑Physical Threats

TrendAI™ Research explored agentic AI cybercrime and EV infrastructure security through two research sessions at RSAC 2026...

Secure agentic AI end-to-end

Next week, RSAC™ Conference celebrates its 35-year anniversary as a forum that brings the security community together to address new challenges and embrace opportunities in our quest to make the world a safer place for all. As we look towards that milestone, agentic AI is reshaping industries...

Observability for AI Systems: Strengthening visibility for proactive risk detection

Adoption of Generative AI GenAI and agentic AI has accelerated from experimentation into real enterprise deployments. What began with copilots and chat interfaces has quickly evolved into powerful business systems that autonomously interact with sensitive data, call external APIs, connect to...

What Boards Must Demand in the Age of AI-Automated Exploitation

“You knew, and you could have acted. Why didn’t you?” This is the question you do not want to be asked. And increasingly, it’s the question leaders are forced to answer after an incident. For years, many executive teams and boards have treated a large vulnerability backlog as an uncomfortable but...

Agentic AI security: Why you need to know about autonomous agents now

Agentic AI is making headlines worldwide for its potential force-multiplying capabilities, and organizations are understandably intrigued by how it can improve throughput and capabilities. However, as with any technological revolution, unforeseen issues are inevitable, and agentic AI is no...

Secure agentic AI for your Frontier Transformation

Today we shared the next step to make Frontier Transformation real for customers across every industry with Wave 3 of Microsoft 365 Copilot, Microsoft Agent 365, and Microsoft 365 E7: The Frontier Suite. Introducing the First Frontier Suite built on Intelligence and Trust As our customers rapidly...

Your complete guide to Microsoft experiences at RSAC™ 2026 Conference

The era of AI is reshaping both opportunity and risk faster than any shift security leaders have seen. Every organization is feeling the momentum; and for security teams, the question is no longer if AI will transform their work, but how to stay ahead of what comes next. At Microsoft, we see this...

Aembit Announces Agenda and Speaker Lineup for NHIcon 2026 on Agentic AI Security

Silver Spring, Maryland, 15th January 2026, CyberNewsWire...

[Webinar] Securing Agentic AI: From MCPs and Tool Access to Shadow API Key Sprawl

AI agents are no longer just writing code. They are executing it. Tools like Copilot, Claude Code, and Codex can now build, test, and deploy software end-to-end in minutes. That speed is reshaping engineering—but it's also creating a security gap most teams don't see until something breaks. Behin...

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...

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...

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...

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...

Webinar: The "Agentic" Trojan Horse: Why the New AI Browsers War is a Nightmare for Security Teams

The AI browser wars are coming to a desktop near you, and you need to start worrying about their security challenges. For the last two decades, whether you used Chrome, Edge, or Firefox, the fundamental paradigm remained the same: a passive window through which a human user viewed and interacted...