Name: The Cybersecurity Trade-Off
Start: 2020-06-10T17:00:00Z
End: 2020-06-10T17:00:44.000Z
Location: BrightTALK
Rating: 5

The Deep Instinct Prevention Platform stops never before seen, unknown threats with the highest accuracy and lowest false positive rate to stop attacks before they can detonate and wreak havoc.

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

Speed is not only important in the motorsport world – seconds are key to making a difference in cybersecurity too.

Did you know that the fastest ransomware starts infiltrating and encrypting a network within 1.5 seconds? That's roughly the speed of an adult's heartbeat.

So it goes without saying that modern cybersecurity systems must be even faster to protect your company from these attacks. Deep learning can make all the difference here.

Let's take a look at what happens in the first 60 seconds of an attack:
• 1.5 seconds: The ransomware starts spreading and infecting data
• 3 seconds: Malware has control of your data and elevated access rights.
• 1 minute: Average time for traditional technology to detect the malware.

Some security tools only start work when the encryption has already begun. Deep learning are increasingly in demand, because only they can handle the new speed standards. Stuart Grierson, Senior Sales Engineer at Deep Instinct will explain why speed is so essential in a cyber attack. In addition, we will explain what modern possibilities intelligent technologies offer in this context and why prevention should be the new cyber security standard.

Agenda highlights:
• The prevention and detection of threats with Artificial Intelligence, Machine Learning (ML) and Deep Learning DL).
• ML vs. DL: How deep learning can provide more speed and accuracy.
• Insights into the more accurate timeline of an unknown attack.
• 20 milliseconds: What happens in the time in which a ransomware attack can be prevented

Speed Kills Malware: How 20 Milliseconds Puts You in the Driver’s Seat

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?

The MITRE Evaluation is an important tool for customers to understand and compare the performance and features of key cybersecurity vendors. MITRE is not a ranking of vendors, but a tool to help technologists sort vendor data to develop the right security stack for their business and customers.
 
However, with much at stake to “win” MITRE, important details can be lost in the noise, making the truth hard to separate from the hype. We will review what the MITRE ATT&CK Evaluations truly are and walk through the best ways to interpret the results, including going into detail about how tests are performed.

Clarifying the vendor spin on MITRE ATT&CK Evaluations

During the pandemic, there was a rush to enable workers to work remotely. Keeping organizations functioning was the #1 priority - shortcuts were made, shadow IT was often seen, best practices were ignored, and even basic security hygiene was forgotten.

In this session we will be exploring the top 6 threats facing remote workers and organizations today. After COVID-19 92% of people expect to work from home at least 1 day per week and 80% expected to work at least 3 days from home per week*. Now that remote (and hybrid) work is here to stay, IT security teams are scrambling to implement and enforce proper security controls.  This remote workforce has shifted from being a short-term fix to a long-term reality. But where should they start? Where’s the low hanging fruit? What are the biggest risks to an organization?

A Hacker's Paradise: Top 6 Threats Facing Remote Workers

A compliance program addresses accountability demands, but it doesn't ensure core security requirements are met. We will explore the fundamental differences between compliance and security,  why they can be often confused, and the inherent risks of doing so.

3 Reasons Why 'Compliance' Does Not Equal 'Security'

It is an accepted fact that increasing prevention controls results in a higher rate of false positives. If the goal is to prevent as many threats as possible, with most solutions in the market today it makes sense that as thresholds tighten, some wrong categorization can occur. Given this fact, many security teams continuously work to balance their prevention settings with their capacity to investigate false positives; we call this the Prevention Trade-off Dilemma. 

However, there is an emerging technology that eliminates this trade-off dilemma - Deep learning-based prevention.  Deep learning prevention by its very nature ensures security teams do not have to make these problematic trade-off decisions required by other security products, as it analyzes all available data to make its malicious/benign decisions.   

By attending this webinar, you will:
     •See why the cyber trade-off decision is unavoidable with legacy and most next-gen prevention tools
     •Gain a servicable understanding of the differences between machine-learning and deep-learning prevention   
     •Real world example of how this trade-off was significantly minimized with a deep learning-based solution
     •Live Q&A with Deep Instinct’s Security experts

The Cybersecurity Trade-Off

Cyber Defence

Cyber Crime

Ransomware

Malware

Endpoint Security

Security Breach

Cyber Attacks

Deep Learning

Machine Learning

Artificial Intelligence

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The Cybersecurity Trade-Off

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