ProHunter APT Hunting Tool / Paper

Advanced Persistent Threats APTs remain difficult to detect due to their stealthy nature and long-term persistence. To tackle this challenge, provenance-based threat hunting has gained traction as a proactive defense mechanism. This technique models audit logs as a whole-system provenance graph a...

CTI-REALM: A new benchmark for end-to-end detection rule generation with AI agents

Excerpt: CTI-REALM is Microsoft’s open-source benchmark for evaluating AI agents on real-world detection engineering—turning cyber threat intelligence CTI into validated detections. Instead of measuring “CTI trivia,” CTI-REALM tests end-to-end workflows: reading threat reports, exploring telemetr...

How to Prioritize Vulnerabilities Effectively: A Framework

Attackers don’t care about your massive backlog of "critical" vulnerabilities. They look for the path of least resistance—the one exploitable weakness that gives them a foothold into your network. If your vulnerability management program isn't thinking like an attacker, you're always one step...

What is CTEM? A Modern Approach to Cyber Risk

To effectively defend your organization, you need to think like an attacker. Attackers don’t care about a vulnerability’s CVSS score; they care about whether they can exploit it to reach a valuable target. Traditional security often misses this crucial context, leaving you to guess which of the...

7 Best CTEM Tools to Reduce Your Attack Surface

To truly secure your organization, you have to start thinking like an attacker. An adversary doesn’t care about your endless spreadsheet of CVEs; they look for a single, exploitable path to their objective. So, how do you find that path before they do? You start by using threat intelligence to...

The 5 Stages of a CTEM Cybersecurity Program

To beat an attacker, you have to think like one. An adversary doesn't care about your compliance reports or internal severity ratings. They care about one thing: finding an exploitable path to your critical assets. So why are we still prioritizing based on theoretical scores? A modern security...

A Guide to Threat Exposure Management for Enterprises

For years, security has been an inside-out job. We scan our own systems, find our own flaws, and create our own to-do lists. But what if we flipped the script and looked at our organization from the outside-in? This is the core idea behind Threat Exposure Management. It’s a continuous process tha...

Top 5 Vulnerability Prioritization Tools for Enterprises

A high CVSS score doesn’t always equal high business risk. A critical vulnerability on a non-essential, isolated asset might be less of a priority than a medium-level one on your primary payment server. To truly manage risk, you have to connect technical data to business context. This means...

TrendAI™ Supports Global Law Enforcement Efforts

Learn how TrendAI™ and our researchers contributed threat intelligence and analysis to support INTERPOL against cybercrime...

Mining the YARA Ecosystem: From Ad-Hoc Sharing to Data-Driven Threat Intelligence

YARA has established itself as the de facto standard for "Detection as Code," enabling analysts and DevSecOps practitioners to define signatures for malware identification across the software supply chain. Despite its pervasive use, the open-source YARA ecosystem remains characterized by ad-hoc...

Microsoft Graph Advanced Intelligence Collector

This Metasploit auxiliary module interacts with the Microsoft Graph API to perform advanced intelligence collection in Microsoft 365 environments. The module supports Azure AD application authentication or direct access tokens and enables enumeration of Azure users, SharePoint sites, OneDrive...

Microsoft Graph Enterprise Intelligence Collector

This Metasploit auxiliary module interacts with the Microsoft Graph API to perform enterprise intelligence collection. It supports authentication using Azure AD application credentials or an existing access token and enables enumeration of Azure users, SharePoint sites, OneDrive files, and Exchan...

Post-Quantum Federated Learning: Secure and Scalable Threat Intelligence for Collaborative Cyber Defense

Collaborative threat intelligence via federated learning FL faces critical risks from quantum computing, which can compromise classical encryption methods. This study proposes a quantum-secure FL framework using post-quantum cryptography PQC to protect cross-organizational data sharing. We expose...

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...

Cyber Threat Intelligence for Artificial Intelligence Systems

As artificial intelligence AI becomes deeply embedded in critical services and everyday products, it is increasingly exposed to security threats which traditional cyber defenses were not designed to handle. In this paper, we investigate how cyber threat intelligence CTI may evolve to address...

Inside Tycoon2FA: How a leading AiTM phishing kit operated at scale

In this article 1. Operational overview of Tycoon2FA 2. Mitigation and protection guidance 3. Microsoft Defender detections Following its emergence in August 2023, Tycoon2FA rapidly became one of the most widespread phishing-as-a-service PhaaS platforms, enabling campaigns responsible for tens of...

From Threat Intelligence to Firewall Rules: Semantic Relations in Hybrid AI Agent and Expert System Architectures

Web security demands rapid response capabilities to evolving cyber threats. Agentic Artificial Intelligence AI promises automation, but the need for trustworthy security responses is of the utmost importance. This work investigates the role of semantic relations in extracting information for...

How HiveForce Labs Finds Threats Before They Hit

There’s often a huge gap between knowing about a threat and knowing if you’re protected from it. A threat feed might tell you about a new attack campaign, but that information lives in a report. It doesn't tell you what would happen if that same attack hit your network. This is the difference...

Criminal IP to Present Decision-Ready Threat Intelligence at RSAC™ 2026

Torrance, United States / California, 2nd March 2026, CyberNewswire...

APT28 Tied to CVE-2026-21513 MSHTML 0-Day Exploited Before Feb 2026 Patch Tuesday

A recently disclosed security flaw patched by Microsoft may have been exploited by the Russia-linked state-sponsored threat actor known as APT28, according to new findings from Akamai. The vulnerability in question is CVE-2026-21513 CVSS score: 8.8, a high-severity security feature bypass affecti...