ROC vs. CTEM: How a Risk Operations Center Evolves Beyond Continuous Threat Exposure Management in 2026

Key Takeaways: The Essentials of ROC vs. CTEM What is a ROC? A risk operations center ROC is a centralized command hub that unifies cyber risk management across security, IT, and compliance. It uses agentic AI to provide a real-time view of business risk, prioritize what matters, and then automat...

RedSage: A Cybersecurity Generalist LLM

Cybersecurity operations demand assistant LLMs that support diverse workflows without exposing sensitive data. Existing solutions either rely on proprietary APIs with privacy risks or on open models lacking domain adaptation. To bridge this gap, we curate 11.8B tokens of cybersecurity-focused...

From Triage to Threat Hunts: How AI Accelerates SecOps

If you work in security operations, the concept of the AI SOC agent is likely familiar. Early narratives promised total autonomy. Vendors seized on the idea of the "Autonomous SOC" and suggested a future where algorithms replaced analysts. That future has not arrived. We have not seen mass layoff...

Master-Engine-POC---Proprietary-Agentic-AI-Solution

Master Engine POC - Proprietary Agentic AI Solution !Pyth...

Multi-Agent Collaborative Intrusion Detection for Low-Altitude Economy IoT: An LLM-Enhanced Agentic AI Framework

The rapid expansion of low-altitude economy Internet of Things LAE-IoT networks has created unprecedented security challenges due to dynamic three-dimensional mobility patterns, distributed autonomous operations, and severe resource constraints. Traditional intrusion detection systems designed fo...

Secure Intellicise Wireless Network: Agentic AI for Coverless Semantic Steganography Communication

Semantic Communication SemCom, leveraging its significant advantages in transmission efficiency and reliability, has emerged as a core technology for constructing future intellicise intelligent and concise wireless networks. However, intelligent attacks represented by semantic eavesdropping pose...

Improving Methodologies for Agentic Evaluations across Domains: Leakage of Sensitive Information, Fraud and Cybersecurity Threats

The rapid rise of autonomous AI systems and advancements in agent capabilities are introducing new risks due to reduced oversight of real-world interactions. Yet agent testing remains nascent and is still a developing science. As AI agents begin to be deployed globally, it is important that they...

Agentic Browser Security: 2025 Year-End Review

Are agentic browsers the new Flash? A 2025 review of new attacks, vendor security layers, and a roadmap for navigating AI browser risks...

Your 100 Billion Parameter Behemoth is a Liability

The "bigger is better" era of AI is hitting a wall. We are in an LLM bubble, characterized by ruinous inference costs and diminishing returns. The future belongs to Agentic AI powered by specialized Small Language Models SLMs. Think of it as a shift from hiring a single expensive genius to runnin...

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

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

AJAR: Adaptive Jailbreak Architecture for Red-Teaming

As Large Language Models LLMs evolve from static chatbots into autonomous agents capable of tool execution, the landscape of AI safety is shifting from content moderation to action security. However, existing red-teaming frameworks remain bifurcated: they either focus on rigid, script-based text...

[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...

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...

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,...