Darktrace Resources

Black Basta: Old Dogs with New Tricks

Using AI to Help Humans Function Better During a Cyber Crisis

Akira Ransomware: How Darktrace Foiled Another Novel Ransomware Attack

Hives & Frankensteins: The Half-Year Threat Report

Darktrace in Support of FERC Order 887

The Rise of the Lumma Info-Stealer

Building for the AI Attack Era

Cyber Incident Simulations: Training Like It’s Real, So Security Teams Are Ready When It Is

Cutting Through the Noise: An Analysis of Post-Exploitation Activity on PaperCut Servers

Better the Devil You Know? Darktrace’s Detection of Unattributed Ransomware

Admin Credential Abuse: How Darktrace Succeeded Where Other Solutions Failed

Five Key Takeaways from Black Hat 2023

Leveraging Attack Path Modelling for Vulnerability Prioritization

The Rise of IPFS Phishing: Darktrace’s Detection of an Evasive and Dynamic Credential Harvester

Revealing the Truth Behind OT Insider Threats & How to Spot Them

It’s All in the Timing: How to Optimize Incident Response to Conserve Resources

Shining a Light on Syssphinx: Darktrace’s Detection of a Novel Ransomware Attack

Outlaw Returns: Uncovering Returning Features and New Tactics

How Darktrace’s SOC Helped Thwart a BEC Attack in its Early Stages

Email Security and the Psychology of Trust: Why Users Face a Losing Game of “Spot the Fake”

Vendor Pretender: Detecting a Vendor Email Compromise in the Wild

Phishing with QR Codes: How Darktrace Detected and Blocked the Bait

CryptBot: How Darktrace foiled a fast-moving information stealer in just 2 seconds

3CX Supply Chain Compromise: How Darktrace Uncovered A “Smooth Operator”

Generative AI: How Darktrace AI protects 8,400 customers from security and privacy risks

How Abuse of ‘PerfectData Software’ May Create a Perfect Storm: An Emerging Trend in Account Takeovers

Darktrace が自己学習型AIとAmazon セキュリティレイクを統合し、セキュリティ調査を支援

Tracking the Hive: Darktrace’s Detection of a Hive Ransomware-as-Service

Darktraceがフィッシング攻撃につながる大規模なアカウントハイジャックを検知した実例

OTシステムの耐障害性を維持するために「エアギャップ」が十分でない理由

「ICES」を分解する：多様性を持つ包括的用語

Gozi-ISFB:Darktrace’s Detection of the Malware with a Thousand Faces

Flexible Deployment for the New Era of Email Security

Integrating Email Security to Build a Posture Greater Than the Sum of Its Parts

Security Integrations: Enriching Darktrace with Microsoft Defender

Social Engineering: Detecting Malicious Email Activity from Both Known and Unknown Senders

Employees and Email: How Considering User Experience Strengthens Email Security

QakNote Infections: A Network-Based Exploration of Varied Attack Paths

AIを活用したEメールソリューションがセキュリティチームをレベルアップする方法

Tackling the Soft Underbelly of Cyber Security – Email Compromise

移り変わるEメール上のやり取り：Eメールセキュリティは過去から抜け出せない

情報窃取マルウェアAmadey：Nデーの脆弱性を悪用して情報窃取マルウェアを発動

Multi-Factor Authentication: Not the Silver Bullet

Laplas Clipper: Defending against crypto-currency thieves with DETECT + RESPOND

The Significance of Compliance: How Compliance Breach Mitigation Can Prevent Compromise

Round-the-Clock Defense Against Cryptojackers using Darktrace AI

PREVENTのユースケース：インパクトが大きい攻撃経路の特定

検知、遮断、さらに高度なアクションでアカウントハイジャックによるさらなる侵害を阻止

How Preventative Security Actively Reduces Organizational Cyber Risk

Vidarの台頭：広範なインフォスティーラーの活動をネットワークレイヤーで暴く

Securing Credit Unions: Darktrace Supports Compliant Email Security and Risk Management

Googleのマルバタイジングで配布されたVidar Info-Stealer マルウェア

Qakbotの復活：新たな脅威の出現とともに進化

DarktraceのAIは2022年カタールワールドカップをサイバー攻撃から守るためにどのように貢献したか

Darktrace Innovation: A Year In Review

BlackMatter's Smash-and-Grab tactics and the need for RESPOND

Bytesize security: Examining an insider exfiltrating corporate data from a Singaporean file server to Google Cloud

New Year’s Resolutions: Customers Share Challenges and Goals for 2023

Exploring the Cyber AI Loop as an Analyst: PREVENT/ASM & DETECT

Finding the Right Cyber Security AI for You

Five Cyber Security Predictions for 2023

製品統合について：サードパーティのEDRアラートに機械学習を導入

When to RESPOND?: Large-Scale Data Exfiltration

PREVENT Use Cases: Reducing Risk for Mergers, Acquisitions, and Subsidiaries

Cyber AI Analyst：ノイズを断ち切り、セキュリティの優位性を獲得する

To be Xor Not to Be: How RESPOND could have stopped a surprise DDoS incident

PREVENT Use Cases: Uncovering Misconfigurations

Early-Adopter Customers Reflect on Darktrace PREVENT

PREVENT Use Cases: Getting Ahead of Brand Abuse

The resurgence of the raccoon: Steps of a Raccoon Stealer v2 Infection (Part 2)

The last of its kind: Analysis of a Raccoon Stealer v1 infection (Part 1)

Inside the Yanluowang leak: Organization, members, and tactics

New technique to deliver malicious email payloads: Webmail login portal hidden within Google Translate domain

PREVENT Use Cases: Shining a Light on Shadow IT

When speedy attacks aren’t enough: Prolonging Quantum Ransomware

Security check-up: How Cullman Regional Medical Center uses Darktrace to secure its patient data

Bytesize security: Impersonation tactics fail to fool Darktrace AI

Growing your onion: AutoIt malware in the Darktrace kill chain

Filtering out digital toxins: Why the American Kidney Fund chose Darktrace RESPOND

Piloting Airline Cyber Security with AI

High-profile hacks emphasize the threat of social engineering

Modern Extortion: Detecting Data Theft from the Cloud

A thief in red: Compliance and the RedLine information stealer

Protecting the endpoint with Self-Learning AI: A customer perspective

The cyber security shortages holding back Africa and the Global South

From BumbleBee to Cobalt Strike: Steps of a BumbleBee intrusion

Detecting the unknown: revealing uncategorized ransomware using Darktrace

Emotet resurgence: cross-industry campaign analysis

A new home front: the part we all play in a modern cyber war

Bytesize security: HTML phishing attachments

Threat actor tactics in the Russo-Ukrainian conflict: analyst observations and predictions

A new sheriff in town: why the city of St. Catharines turned to Darktrace to protect its digital assets

Maximizing security investments as an SMB

Exploring the dangers of remote access tools

N-Day vulnerabilities: minimizing the risk with Self-Learning AI

Using Self-Learning AI to defend against zero-day and N-day attacks

PrivateLoader: network-based indicators of compromise

Rudin Management keeps life moving for tenants with AI

Darktrace unveils new brand with McLaren at British Grand Prix

サイバー犯罪者が暗号通貨を利用して利益を得る方法