​​Securing our future: November 2025 progress report on Microsoft’s Secure Future Initiative ​​

When we launched the Secure Future Initiative SFI, our mission was clear: accelerate innovation, strengthen resilience, and lead the industry toward a safer digital future. Today, we’re sharing our latest progress report that reflects steady progress in every area and engineering pillar,...

Why Organizations Can’t Ignore Vendor Risk Assessment in Today’s Cyber-Threat Landscape

In an era where digital ecosystems extend far beyond a company’s internal network, enterprise cybersecurity is no longer…...

Synergistic Development of Cybersecurity and Functional Safety for Smart Electric Vehicles

The introduction of Smart Electric Vehicles SEVs represents an increasingly disruption on automotive area, once integrates advanced computer and communication technologies to highly electrical cars, which come with high performances, environment friendly and user friendly characteristics . But th...

Large Language Models for Explainable Threat Intelligence

As cyber threats continue to grow in complexity, traditional security mechanisms struggle to keep up. Large language models LLMs offer significant potential in cybersecurity due to their advanced capabilities in text processing and generation. This paper explores the use of LLMs with...

From Tabletop to Turnkey: Building Cyber Resilience in Financial Services

Introduction Financial institutions are facing a new reality: cyber-resilience has passed from being a best practice to an operational necessity to a prescriptive regulatory requirement. Crisis management or Tabletop exercises, for a long time relatively rare in the context of cybersecurity, have...

GPT-5 at CTFs: Case Studies from Top-Tier Cybersecurity Events

OpenAI and DeepMind's AIs recently got gold at the IMO math olympiad and ICPC programming competition. We show frontier AI is similarly good at hacking by letting GPT-5 compete in elite CTF cybersecurity competitions. In one of this year's hardest events, it outperformed 93% of humans finishing...

Automated and Explainable Denial of Service Analysis for AI-Driven Intrusion Detection Systems

With the increasing frequency and sophistication of Distributed Denial of Service DDoS attacks, it has become critical to develop more efficient and interpretable detection methods. Traditional detection systems often struggle with scalability and transparency, hindering real-time response and...

Large Language Models for Cyber Security

This paper studies the integration off Large Language Models into cybersecurity tools and protocols. The main issue discussed in this paper is how traditional rule-based and signature based security systems are not enough to deal with modern AI powered cyber threats. Cybersecurity industry is...

​​Securing critical infrastructure: Why Europe’s risk-based regulations matter

The Deputy CISO blog series is where Microsoft Deputy Chief Information Security Officers CISOs share their thoughts on what is most important in their respective domains. In this series, you will get practical advice, tactics to start and stop deploying, forward-looking commentary on where the...

Designing Proportionate Cybersecurity Frameworks for European Micro-Enterprises: Lessons from the Squad 2025 Case

Micro and small enterprises SMEs account for most European businesses yet remain highly vulnerable to cyber threats. This paper analyses the design logic of a recent European policy initiative -- the Squad 2025 Playbook on Cybersecurity Awareness for Micro-SMEs -- to extract general principles fo...

8 Top Application Security Tools (2026 Edition)

The software revolution has redefined what’s possible in global business. Complex applications underpin e-commerce, healthcare, finance, transportation, and…...

The MSP Cybersecurity Readiness Guide: Turning Security into Growth

MSPs are facing rising client expectations for strong cybersecurity and compliance outcomes, while threats grow more complex and regulatory demands evolve. Meanwhile, clients are increasingly seeking comprehensive protection without taking on the burden of managing security themselves. This shift...

The Death of the Security Checkbox: BAS Is the Power Behind Real Defense

Security doesn't fail at the point of breach. It fails at the point of impact. That line set the tone for this year's Picus Breach and Simulation BAS Summit , where researchers, practitioners, and CISOs all echoed the same theme: cyber defense is no longer about prediction. It's about proof. When...

CyberNER: A Harmonized STIX Corpus for Cybersecurity Named Entity Recognition

Extracting structured intelligence via Named Entity Recognition NER is critical for cybersecurity, but the proliferation of datasets with incompatible annotation schemas hinders the development of comprehensive models. While combining these resources is desirable, we empirically demonstrate that...

Adapting Large Language Models to Emerging Cybersecurity Using Retrieval Augmented Generation

Security applications are increasingly relying on large language models LLMs for cyber threat detection; however, their opaque reasoning often limits trust, particularly in decisions that require domain-specific cybersecurity knowledge. Because security threats evolve rapidly, LLMs must not only...

Preparing for the Digital Battlefield of 2026: Ghost Identities, Poisoned Accounts, & AI Agent Havoc

BeyondTrust's annual cybersecurity predictions point to a year where old defenses will fail quietly, and new attack vectors will surge. Introduction The next major breach won't be a phished password. It will be the result of a massive, unmanaged identity debt. This debt takes many forms: it's the...

Cybersecurity on a budget: Strategies for an economic downturn

During economic uncertainty, businesses face the challenge of maintaining strong cybersecurity while managing tightened budgets. Cyber threats can become more numerous, motivated, and persistent during economic downturns, making the need for resilient, cost-effective security measures critical...

AgentCyTE: Leveraging Agentic AI to Generate Cybersecurity Training and Experimentation Scenarios

Designing realistic and adaptive networked threat scenarios remains a core challenge in cybersecurity research and training, still requiring substantial manual effort. While large language models LLMs show promise for automated synthesis, unconstrained generation often yields configurations that...

A Neuro-Symbolic Multi-Agent Approach to Legal-Cybersecurity Knowledge Integration

The growing intersection of cybersecurity and law creates a complex information space where traditional legal research tools struggle to deal with nuanced connections between cases, statutes, and technical vulnerabilities. This knowledge divide hinders collaboration between legal experts and...

Jailbreak Mimicry: Automated Discovery of Narrative-Based Jailbreaks for Large Language Models

Large language models LLMs remain vulnerable to sophisticated prompt engineering attacks that exploit contextual framing to bypass safety mechanisms, posing significant risks in cybersecurity applications. We introduce Jailbreak Mimicry, a systematic methodology for training compact attacker mode...