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...

Security Considerations for Multi-Agent Systems

Multi-agent artificial intelligence systems or MAS are systems of autonomous agents that exercise delegated tool authority, share persistent memory, and coordinate via inter-agent communication. MAS introduces qualitatively distinct security vulnerabilities from those documented for singular AI...

AI as tradecraft: How threat actors operationalize AI

In this article 1. AI as an enabler for cyberattacks 2. Post-compromise misuse of AI 3. Emerging trends 4. Mitigation guidance for AI-enabled threats 5. Microsoft Defender detections Threat actors are operationalizing AI along the cyberattack lifecycle to accelerate tradecraft, abusing both...

This Week in Spring - March 3rd, 2026

Hi Spring fans! Welcome to another rip-roaring installment of This Week in Spring! I'm writing this in an Uber en route to the airport to get to awsome Atlanta, GA, for Devnexus 2026! Who's goin'? You goin'? We - the Spring team - will be there in force! Come say hi at the boothes or come see our...

6 Ways Agentic AI Changes How Systems Act and Adapt

Learn how agentic AI changes system behavior in production environments through supervised fine-tuning, structured oversight, and lifecycle governance to improve reliability, manage risk, and support accountable deployment...

Formal Analysis and Supply Chain Security for Agentic AI Skills

The rapid proliferation of agentic AI skill ecosystems -- exemplified by OpenClaw 228,000 GitHub stars and Anthropic Agent Skills 75,600 stars -- has introduced a critical supply chain attack surface. The ClawHavoc campaign January-February 2026 infiltrated over 1,200 malicious skills into the...

Building an Agentic Cloud Security Ecosystem: A Reference Architecture with Wiz MCP and Infosys Cyber Next

Coordinated Multi-Agent Investigation and Remediation...

Can AI Lower the Barrier to Cybersecurity? A Human-Centered Mixed-Methods Study of Novice CTF Learning

Capture-the-Flag CTF competitions serve as gateways into offensive cybersecurity, yet they often present steep barriers for novices due to complex toolchains and opaque workflows. Recently, agentic AI frameworks for cybersecurity promise to lower these barriers by automating and coordinating...

Intellicise Wireless Networks Meet Agentic AI: A Security and Privacy Perspective

Intellicise Intelligent and Concise wireless network is the main direction of the evolution of future mobile communication systems, a perspective now widely acknowledged across academia and industry. As a key technology within it, Agentic AI has garnered growing attention due to its advanced...

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...

Agentic AI for Cybersecurity: A Meta-Cognitive Architecture for Governable Autonomy

Contemporary AI-driven cybersecurity systems are predominantly architected as model-centric detection and automation pipelines optimized for task-level performance metrics such as accuracy and response latency. While effective for bounded classification tasks, these architectures struggle to...

Agentic Knowledge Distillation: Autonomous Training of Small Language Models for SMS Threat Detection

SMS-based phishing smishing attacks have surged, yet training effective on-device detectors requires labelled threat data that quickly becomes outdated. To deal with this issue, we present Agentic Knowledge Distillation, which consists of a powerful LLM acts as an autonomous teacher that fine-tun...

Viral AI, Invisible Risks: What OpenClaw Reveals About Agentic Assistants

OpenClaw aka Clawdbot or Moltbot represents a new frontier in agentic AI: powerful, highly autonomous, and surprisingly easy to use. In this research, we examine how its capabilities compare to its predecessors’ and highlight the security risks inherent to the agentic AI paradigm...

ICYMI: Experts on Experts – Season One Roundup

In 2025, we launched Experts on Experts: Commanding Perspectives as a pilot video series designed to spotlight the ideas shaping cybersecurity, directly from the people driving them. Over five episodes, Rapid7 leaders shared short, candid conversations on topics like agentic AI, MDR ROI,...

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...