How Live Threat Intelligence Cuts Cybersecurity Expenses

Disclosure: This article was provided by ANY.RUN. The information and analysis presented are based on their research and findings...

AegisShield: Democratizing Cyber Threat Modeling with Generative AI

The increasing sophistication of technology systems makes traditional threat modeling hard to scale, especially for small organizations with limited resources. This paper develops and evaluates AegisShield, a generative AI enhanced threat modeling tool that implements STRIDE and MITRE ATT&CK to...

FALCON: Autonomous Cyber Threat Intelligence Mining with LLMs for IDS Rule Generation

Signature-based Intrusion Detection Systems IDS detect malicious activities by matching network or host activity against predefined rules. These rules are derived from extensive Cyber Threat Intelligence CTI, which includes attack signatures and behavioral patterns obtained through automated tool...

Wordfence Bug Bounty Program Monthly Report – July 2025

Last month in July 2025, the Wordfence Bug Bounty Program received 325 vulnerability submissions from our growing community of security researchers working to improve the overall security posture of the WordPress ecosystem. These submissions are reviewed, triaged, and processed by the Wordfence...

CVE-2025-21799

creationtimestamp| type| source ---|---|--- 2025-08-22 14:52:22+00:00| seen| MISP/24306fae-b16b-4478-9297-d2973cdb583c...

JJ Cummings: The art of controlling information

Welcome to the second episode of Humans of Talos, our ongoing video interview series that celebrates the people powering Cisco's threat intelligence efforts. In each episode, we dive deep into the personal journeys, motivations and lessons learned from the team members who help keep the internet...

Advancing Autonomous Incident Response: Leveraging LLMs and Cyber Threat Intelligence

Effective incident response IR is critical for mitigating cyber threats, yet security teams are overwhelmed by alert fatigue, high false-positive rates, and the vast volume of unstructured Cyber Threat Intelligence CTI documents. While CTI holds immense potential for enriching security operations...

Connect with the security community at Microsoft Ignite 2025

In today’s AI-powered world, security professionals are facing unprecedented challenges—and opportunities. As generative AI reshapes the digital landscape, the need for robust, intelligent, and adaptive security strategies has never been more urgent. At Microsoft Ignite 2025, we will showcase...

Connect with the security community at Microsoft Ignite 2025

In today’s AI-powered world, security professionals are facing unprecedented challenges—and opportunities. As generative AI reshapes the digital landscape, the need for robust, intelligent, and adaptive security strategies has never been more urgent. At Microsoft Ignite 2025, we will showcase...

Simulating Cyberattacks through a Breach Attack Simulation (BAS) Platform Empowered by Security Chaos Engineering (SCE)

In today digital landscape, organizations face constantly evolving cyber threats, making it essential to discover slippery attack vectors through novel techniques like Security Chaos Engineering SCE, which allows teams to test defenses and identify vulnerabilities effectively. This paper proposes...

Inside the Ransomware Economy in 2025: Q2 Trends & Key Insights You Need to Know

Building on insights from Rapid7’s Q1 and Q2 2025 ransomware trend reports, it’s clear that the ransomware economy continues to evolve – and not just in volume, but also in business maturity. As threat actors shift tactics, tools, and partnerships, defenders face a complex landscape shaped by...

Quantifying the ROI of Cyber Threat Intelligence: a Data-Driven Approach

The valuation of Cyber Threat Intelligence CTI remains a persistent challenge due to the problem of negative evidence: successful threat prevention results in non-events that generate minimal observable financial impact, making CTI expenditures difficult to justify within traditional cost-benefit...

EX-NIDS: a Framework for Explainable Network Intrusion Detection Leveraging Large Language Models

This paper introduces eX-NIDS, a framework designed to enhance interpretability in flow-based Network Intrusion Detection Systems NIDS by leveraging Large Language Models LLMs. In our proposed framework, flows labelled as malicious by NIDS are initially processed through a module called the Promp...

Microsoft at Black Hat USA 2025: A unified approach to modern cyber defense

Microsoft will be at Black Hat USA 2025, August 5–7 in Las Vegas, and we’re bringing you a unified, practitioner-driven experience built around real-world insights, threat intelligence, incident response, and hands-on AI expertise. We believe security teams are strongest when intelligence, tools,...

PT-2025-30046 · Opencti · Opencti

Name of the Vulnerable Software and Affected Versions: OpenCTI versions prior to 6.6.6 Description: OpenCTI is a platform for managing cyber threat intelligence knowledge and observables. An IDOR vulnerability exists in the GraphQL NotificationLineNotificationMarkReadMutation and...

Cut Response Time with This Free, Powerful Threat Intelligence Service

Disclosure: This article was provided by ANY.RUN. The information and analysis presented are based on their research and findings...

Google AI "Big Sleep" Stops Exploitation of Critical SQLite Vulnerability Before Hackers Act

Google on Tuesday revealed that its large language model LLM-assisted vulnerability discovery framework identified a security flaw in the SQLite open-source database engine before it could have been exploited in the wild. The vulnerability, tracked as CVE-2025-6965 CVSS score: 7.2, is a memory...

CLIProv: a Contrastive Log-To-Intelligence Multimodal Approach for Threat Detection and Provenance Analysis

With the increasing complexity of cyberattacks, the proactive and forward-looking nature of threat intelligence has become more crucial for threat detection and provenance analysis. However, translating high-level attack patterns described in Tactics, Techniques, and Procedures TTP intelligence...

The Exposure Convergence: Why Identity, Infrastructure, and Intelligence Are Converging

Running short on time but still want to stay in the know? Well, we’ve got you covered! We’ve condensed all the key takeaways into a handy audio summary. Our AI-driven podcasts are fit for on the go. The cybersecurity industry is experiencing a fundamental convergence around "exposure management" ...

False Alarms, Real Damage: Adversarial Attacks Using LLM-Based Models on Text-Based Cyber Threat Intelligence Systems

Cyber Threat Intelligence CTI has emerged as a vital complementary approach that operates in the early phases of the cyber threat lifecycle. CTI involves collecting, processing, and analyzing threat data to provide a more accurate and rapid understanding of cyber threats. Due to the large volume ...