Name: Classifying Malware Using Deep Learning
Start: 2018-05-02T18:00:00Z
End: 2018-05-02T18:00:11.000Z
Location: BrightTALK
Rating: 3.8

Deep Instinct, the first and only zero-day data security company built on a deep learning cybersecurity framework, prevents unknown threats in <20 milliseconds, 750X faster than the fastest ransomware can encrypt. Deep Instinct Data Security X (DSX) secures data at-rest or in-motion – across cloud, NAS, applications, and endpoints.

DarkAI in the hands of criminals is putting your data at risk. As your cloud data repositories grow, so does the target on your back. Advanced zero-day threats are targeting cloud storage, exploiting critical cloud infrastructure gaps, and exposing your data. The danger is real. You can’t afford to fail.

Join us on Wednesday, December 18, at 4 PM GMT / 11 AM ET / 8 AM PT for an essential webinar on Securing Cloud Storage Against Zero-Day Attacks. Learn how to secure your data in the cloud.

We’ll cover the following:

* The failure of traditional cloud security tools against zero-day threats
* How assumptions about vendor security are making you vulnerable
* Why the “assume breach” mindset is failing organizations everywhere
* The rise of DarkAI and the changing threat landscape
* Live demo of DSX for Cloud – Amazon S3, the only way to prevent threats in AWS

Securing Cloud Storage Against Zero-Day Attacks

The rise of AI-powered threats continues to challenge even the most seasoned cybersecurity professionals. As malicious AI tactics evolve, the need for effective, preventative cybersecurity strategies has never been more critical. The Voice of SecOps 2024 report highlights these challenges and offers insights into how organizations can adapt.

Join us on Wednesday, July 10th, at 11 AM ET / 8 AM PT for an exclusive webinar featuring a Q&A-style interview with Deep Instinct CIO Carl Froggett, and Jess Bettencourt, Senior VP at Inkhouse. Gain expert insights on the latest findings from the 2024 Voice of SecOps report and learn how to navigate the complex AI-driven threat landscape.

During this session, we will cover:

• The growing impact of AI on the cybersecurity landscape in 2024
• Key findings from the latest Voice of SecOps 2024 report
• Effective strategies for combating AI-generated cyber threats
• The importance of shifting from reactive to prevention-first cybersecurity measures
• How AI-driven tools can alleviate stress and burnout among SecOps teams

AI in Cybersecurity: Friend or Foe

As the threat landscape evolves, SOC teams are overwhelmed by the growing volume of security alerts, hindering proactive threat hunting and leading to critical oversights. While generative AI is transforming cybersecurity, bad actors are also weaponizing it to launch devastating and hard-to-detect attacks.

Join our webinar on May 30th, at 11 AM ET / 8 AM PT, to discover how Deep Instinct’s Artificial Neural Network Assistant (DIANNA) leverages generative AI to revolutionize malware analysis and incident response. 

We'll explore the following topics:

* The challenges SOC teams face in managing the expanding threat landscape
* How DIANNA differs from traditional AI-powered cybersecurity solutions
* DIANNA’s ability to analyze and explain unknown threats, including intricate binaries
* Real-world examples of DIANNA’s expert-level malware analysis and natural language reporting
* How DIANNA enhances prevention-first strategies and streamlines SOC workflows

How to Harness Generative AI to Analyze Unknown Threats

Fueled by advancements in generative AI and LLMs, adversarial AI has become your organization's most significant cybersecurity risk in 2024. Even the most secure networks are vulnerable to these fast-evolving threats. 

The time to fight adversarial AI with better AI is now. Prepare for the new era of cybersecurity with Deep Instinct Prevention for Applications (DPA) 3.0, the only deep learning-based cybersecurity solution on the market today. Unlike legacy machine learning-based solutions, it only requires 1-2 updates per year to stop the most advanced threats, even in air-gapped environments.

Join us on February 8th, at 11 AM ET / 8 AM PT, to learn how to prevent threats before they detonate and cause harm, along with the following:

* How LLMs can conduct vulnerability research, develop exploits, and launch attacks, including creating custom obfuscation and malware builders
* How deep learning uses complex neural networks that mimic the human brain, the only way to protect against evolving generative AI threats
* How Deep Instinct’s deep learning brain operates autonomously, eliminating reliance on cloud connectivity, unlike traditional cybersecurity solutions
* DPA 3.0 highlights, including support for air-gapped networks, enhanced file support, classification flows, and extended coverage of PDF, ELF, APK, MSI, DMG, and ISO files up to 1TB and archives up to 50GB

How to Protect Your Data and Applications from Adversarial AI

Deep Instinct Prevention for Storage (DPS) delivers a prevention-first approach to storage protection that stops ransomware and malware from reaching your data and executing in your environment.

The consolidation of information from various endpoints—whether it’s files from customers, employees, vendors, or partners—has transformed your critical data repositories into major attack vectors, providing a one-stop-shop for attackers.
DPS closes this critical gap in your cybersecurity defense.

Join Deep Instinct when Emmet Cleere will take an in-depth look at the following:
• How storage repositories have become a critical attack vector for bad actors
• Why legacy solutions and storage vendors don’t provide adequate protection for storage repositories
• How DPS integrates natively with leading network-attached storage solutions, including NetApp Vscan and Dell CAVA
• Why fighting AI-generated malware with advanced AI-based cybersecurity is the only way to proactively protect your data

Register now and learn why you need Prevention for Storage.

Introducing Deep Instinct Prevention for Storage

The consolidation of information from various endpoints has transformed your critical data repositories into major attack vectors, providing a one-stop-shop for attackers.

With Deep Instinct’s new Deep Instinct Prevention for Storage (DPS), you can protect all your data storage repositories against increasingly sophisticated cyber threats.

Join us Wednesday, November 1st at 11 AM ET / 8 AM PT to learn more about this groundbreaking product family. During the webinar we will cover:
* The critical need to protect storage repositories and why they are a critical attack vector for bad actors
* Why legacy solutions don’t provide sufficient protection for storage repositories
* Why a predictive prevention approach is the way of the future
* Why fighting AI-generated malware with advanced AI-based cybersecurity is the only way to proactively protect your data
* How DPS integrates natively with leading network-attached storage solutions such as NetApp (Vscan) and Dell (CAVA)

Deep Instinct protects the data of the world's largest brands by delivering on the promise of threat prevention with the only cybersecurity platform fully powered by Deep Learning.

We have pioneered predictive prevention to anticipate an attacker's next move before they make it to stop ransomware, zero-days, and unknown threats before they ever get started.

We do this everywhere malicious files are trying to infiltrate your network in the cloud and on-prem including applications, storage and endpoints.

Join Deep Instinct when Emmet Cleere will take an in-depth look at the following:
· Reduce the risk of business disruption and data loss
· Improve SOC operational efficiency
· Live demo of Deep Instinct platform
· Q&A

Register now and learn how our predictive prevention platform integrates anywhere in your environment.

Deep Instinct Predictive Prevention Platform: Fighting Malware w/ Deep Learning

The MITRE ATT&CK Framework is an excellent tool for organizations to plan and understand their defense-in-depth strategy. Mapping the tactics, techniques, and procedures (TTPs) coverage to see where your gaps lie is a critical step in protecting your organization against cyber threats. 

Learn the details and results from the latest MITRE ATT&CK evaluation which focused on the complex, multi-stage, impact-focused attacks carried out by Turla, a sophisticated Russian-based threat group that has infected victims in over 45 countries. 

This webinar will cover the following topics: 
* What the ATT&CK Evaluations are and what it means for enterprises 
* The tactics, techniques, and procedures (TTPs) employed by Turla to perform an attack 
* How Deep Instinct’s platform prevents Turla attacks and protects your organization

Peeling Back the Layers on MITRE Engenuity's Latest Evaluations for Enterprise

Buckle up for the future with generative AI—it’s going to be a wild ride. In fact, it’s already increased the volume and velocity of attacks and shown it can be morphed to evade detection. New strategies are needed to keep up with emerging, unknown threats. 

Join our panel of cyber and threat research experts on Wednesday, July 12th at 11 AM ET when we’ll discuss the following: 
* The generative AI tools in an attacker’s arsenal, including AutoGPT and DarkBERT 
* The impact of generative AI on existing cybersecurity solutions  
* The biggest concerns around the abuse of Generative AI 
* How deep learning-based AI is best positioned to fight against AI-created threats 

Register today to learn how to future-proof your cybersecurity stack.

Fight AI with AI: Going Beyond ChatGPT

Ransomware continues to wreak havoc—and it isn’t going away. What comes next includes an acceleration of attacks due to AI as the threat becomes less about the ransom itself and more about data extortion. 

Ransomware-as-a-Service (RaaS) has enabled less sophisticated threat actors to quickly launch attacks, lowering the bar for cybercriminals. While threat groups like Conti break up into smaller groups and re-emerge acting as offensive startups, scaling quickly for profits.   

Join us on Wednesday, May 24th when our threat research experts, Shaul Vilkomir-Presiman and Brian Black, discuss the following: 
-How threat actor organizations have changed over the last decade 
-Where ransomware is headed based on new research 
-Ways you can prevent ransomware from entering your environment

The Future of Ransomware: 2023 and Beyond

The EPP status quo is ripe for disruption in a market that has over-rotated to a reactive detection and response approach. The need for true prevention is now.

Join us for an executive panel discussion where we’ll discuss the following topics:
· Necessary Disruption: How a shift to true prevention can dramatically reduce risk
· Prevention-first Mindset: Why ML-based EDR solutions are too reactive and reliant on detecting vs preventing threats
· Prevention Innovation: How to stop ransomware and zero-day threats before they can land inside your environment
· Protection Unparalleled: How to avoid common bypass techniques where most EPPs fail

Sign up for a discussion with the only NEW vendor in Gartner’s EPP MQ.

Disclaimer: Gartner does not endorse any vendor, product, or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Gartner Endpoint Protection Platform MQ: Breaking Down the EPP Landscape

In parallel with the opportunities Chat GPT offers, its potential for malware creation and other cybersecurity threats is also making news. How do you determine what is hype and what you need to be aware of?

An AI cybersecurity expert panel will discuss topics such as: 
- Phishing emails with malicious payloads using Chat GPT 
- Deep Instinct’s Threat Lab observations on Chat GPT 
- Differences between Chat GPT and Google’s new rival Bard 
- How you can benefit from various tools using ChatGPT:  IDA and Ghidra plugins, API calls analysis, AWS config file vulnerabilities and more

Chat GPT and Cybersecurity Panel Debate: What’s Just Hype, What’s Not?

Cybersecurity has a reaction problem. Companies continue to invest heavily in detection and response tools that rely on legacy machine learning models, yet breaches are growing at an alarming pace. 

This webinar will talk through:  
-The evolution of reactive, ML-based cybersecurity tools  
-The promise of deep learning to solve cyber problems 
-The differences in AI approaches and what it means for the future of cybersecurity 

Please join us to understand how you can use AI to become more proactive and turn the tide on bad actors.

The Future of AI in Cybersecurity: Machine Learning or Deep Learning?

Your applications are the lifeblood of your business. If a file upload contains malware – whether from internal, customer, or third-party apps – your organization is at risk. 

Join Deep Instinct experts to learn the following: 
- Why you need to scan your files for security, not just compliance 
- Which files, including Office and PDF, pose the greatest risk 
- How Emotet, ransomware, and other unknown threats are significant file risks 
- Why AV, Sandbox, and CDR can’t meet your security needs 

We’ll conclude with a demo of Deep Instinct’s agentless, malware-prevention engine powered by deep learning. This flexible, deploy-anywhere solution scales to scan millions of files per day to prevent the most advanced zero-day and unknown threats. 

Join us to ensure your files are free of malware before they enter your environment – not after.

Malicious File Uploads: The Overlooked Gap in Your Security

Bei Ransomware-Angriffen auf ein Unternehmen kommt es auf eine möglichst schnelle Reaktion an, um Schaden zu begrenzen oder zu verhindern. Im Webcast am 23. August zeigen wir Ihnen, was in den ersten 60 Sekunden einer Attacke geschieht und wie Sie Ransomware in weniger als einer Sekunde stoppen können.

Nicht nur im Rennsport kommt es auf Schnelligkeit an – auch bei der IT-Security zählen häufig Sekunden. Wussten Sie, dass die schnellste Ransomware innerhalb von 1,5 Sekunden beginnt, ein Netzwerk zu infiltrieren und zu verschlüsseln? So lange dauert ungefähr der Herzschlag eines Erwachsenen.

Es ist also selbstverständlich, dass moderne Abwehrsysteme noch schneller sein müssen, um Ihr Unternehmen vor diesen Angriffen zu schützen. Deep Learning kann hierbei den entscheidenden Unterschied machen.

Gibt man höchst destruktiver Ransomware auch nur einige Minuten Zeit, so kann sie in diesem Zeitraum bereits Systeme sperren, Hintertüren installieren und sich im Netzwerk ausbreiten. Laut einer Untersuchung dauert es im Durchschnitt jedoch mehr als 20 Stunden, bis ein betroffenes Unternehmen auf einen Cybervorfall reagiert. Wie würde das bei Ihnen aussehen?

Sehen wir uns doch einmal an, was in den ersten 60 Sekunden eines Angriffs passiert:

· 1,5 Sekunden: Die Ransomware beginnt sich auszubreiten und Daten zu infizieren

· 3 Sekunden: Malware hat die Kontrolle über Ihre Daten und erhöhte Zugriffsrechte.

· 1 Minute: Durchschnittliche Zeit bis herkömmliche Technologie die Malware erkennt.

Ransomware-Abwehr: Warum jede Sekunde zählt!

Unit 221B evaluated the Deep Instinct's Prevention Platform to determine its prevention and mitigation benefits. This assessment was done through a variety of tests in categories including portable, unknown, custom designed attacks, and Python executables, as well as static, dynamic, network, behavioral analysis, and signature detection. During this session, Lance James, CEO and Founder of Unit 221B, will discuss his initial expectations, the methodology, and how deep learning is a revolutionary factor for fighting and predicting the problems of tomorrow, while maturing your security posture today.

Unit 221B Validates Deep Instinct’s >99% Zero-Day Threat Prevention Accuracy

Deep Instinct recently commissioned a major research study to better understand and quantify the causes and impact of stress on the cybersecurity community. It confirms what many in the industry have long known -- that stress on Security Operations staff is acute and growing more problematic with the potential to have considerable ramification for the cybersecurity readiness of organizations across the globe. The study provides insights into the causes, including ransomware, and impacts of those stresses -- and also lays out some practical solutions that forward-looking organizations can adopt in to improve their security postures and cyber readiness. In this session, Justin Vaughan-Brown and Simon Hayhurst talk through the report findings, its ramifications, and recommendations.

Why Your Cybersecurity Leaders and Staff Are Thinking About Leaving

Since 2021, there has been a sharp rise in malware developed to attack Macs, including ElectroRAT, Silver Sparrow, XLoader, and more. These new malware strains have paved the way for a future with more sophisticated and profitable attacks aimed at macOS. Macs do have several built-in security advantages, but these are becoming less significant because of two trends: malware increasingly targeting browser plugins, not the underlying OS, and malware developers creating cross-platform applications independent of the operating system. In this session, we will explore the gaps and opportunities.

Ransomware: Are Macs Better Protected Than Windows Machines?

With the increase of cybersecurity disasters and due to the lack of staff expertise, organizations are concerned for the state of their infrastructure’s security, leading many organizations to use third-party threat intelligence solutions.

In order for SOC and IR teams to get a full understanding of an impending threat, they need to measure the threat severity - a task that requires time, resources and money.

That being said, there is an ongoing need to respond to such cyberattacks in real-time with minimal human interaction using artificial intelligence, or to be more specific – deep learning.

Classifying Malware Using Deep Learning

Deep Learning

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Ransomware

Cyber Attacks

Cyber Defence

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Security

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Classifying Malware Using Deep Learning

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