Name: 2022 Threat Landscape Report Unpacked
Start: 2022-03-15T15:00:00Z
End: 2022-03-15T15:36:09.000Z
Location: BrightTALK
Rating: 0

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.

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'

Though the COVID-19 pandemic will hopefully soon be behind us, some of the changes caused by it are here to stay. Certainly, the cybersecurity attack landscape has changed due to the transition to WFH and the increased digital activity that has caused. But in addition to that, attackers who never miss an opportunity, have manipulated the pandemic, often making it the theme of their nefarious activities.  To stay secure in this changing landscape, the cybersecurity arena must adapt to deal with these threats proactively. In this webinar, we’ll review how the coronavirus pandemic impacted the cyber-threat landscape in 2020.

In this webinar you will gain:
•	Knowledge of how the rapid transition to work from home impacted enterprise cyber security
•	Insight on how hackers changed their ransomware campaigns to seize the opportunity created by the pandemic
•	Insight on how the COVID-19 pandemic contributed to new trends in spreading financial malware
•	Information on attacks targeting different operating systems
•	Access to Deep Instinct’s Cyber Threat Landscape Report

The Pandemic and its Manipulation by the Cyber-Underworld

Choosing an endpoint security solution can be a daunting task, with the features, capabilities, and benefits touted across multiple vendors all being very similar. To assist the product selection process, Forrester Research developed the Total Economic Impact (TEI) Study™. A method to evaluate the potential economic impact of a solution on an organization.

Based on interviews with real customers, the Forrester TEI study considers pre and post solution implementation conditions, benefits, costs, and risks to generate a potential return on investment (ROI) of the solution.

In this webinar, Senior Forrester Security Analyst Chris Sherman and Distinguished Sales Engineer at Deep Instinct, Brian Black, will reveal Deep Instinct’s Total Economic Impact Study’s findings.

Join us in this webinar to gain:

· The Forrester TEI methodology
· Product indicators for achieving a good ROI
· The benefits of moving to Deep Instinct
· The importance of resilient security in the age of COVID-19

Total Economic Impact Study of Deep Instinct: Research Findings

To stay secure in the modern connected world, businesses must keep track of all emerging cybersecurity threats, no matter in which form they come or from where they come. Towards that end, organizations need to assess how robust their security operations are to anticipate and prevent as many of these threats as possible.
Join this discussion with top cybersecurity experts as they share their different perspectives of what businesses can expect to face in their day-to-day operations over the next year. They will discuss malware evolutions, digital transformations, solution developments, and the impact it will all have on IT security operations.

Join us in this webinar to gain:
- Insight on the factors that will most influence and impact security operations in 2021
- Get tips for patching, monitoring, and managing the devices of remote workers'
- Learn about the latest security techniques, that top cybersecurity experts are using against ransomware and file-less threats
- Opportunity to share your plans on how you will be protecting your organization’s digital environment in 2021

How CISO’s are Preparing for 2021

New, never-seen-before attacks confront cybersecurity analysts with the uncomfortable conundrum – How do you prevent the unknown? New variants of malware are so dangerous precisely because they can be impossible to anticipate and difficult to detect, leaving companies persistently exposed until the time it is detected and then removed. What’s more, in recent years, new attacks have become increasingly common, with analysts finding as much as 80% of attacks tend to be new or unknown, zero-days.

Join us in this live demo webinar where we explore the new malware threat landscape; why they have become the preferred method amongst hackers, the vulnerabilities that they tend to use, and how deep learning technology is used to predict and prevent the unknown. We’ll also address what can be done to prevent them, enabling analysts to expect the unexpected.

Join us in this webinar to gain:
•Critical information on how attacks commonly work their malicious logic and why time is of the essence.
•Knowledge from the experts on how new malware variants modify to penetrate and stay undetected by security operations
•Information on how deep learning technology is used to predict and prevent attacks that it’s never been exposed to before
•Get some tips on how to make your organization more resilient to never-seen-before attacks

Live Demo: Preventing Never-Seen-Before Attacks

Smartphones and smart TVs connected to the network, mobile laptops connecting via remote IPs, sensitive information accessible from anywhere, cloud storage systems holding cross-company data, the organization is a veritable minefield of security disasters. How is your organization approaching your enterprise’s security operations?
 In this webinar, our experts will offer their advice and recommendations on how to build an optimal cybersecurity stack that works across all devices, tools, and locations from which your end-users may be working. The session will also provide practical advice on how to develop a consistent security strategy that works for all of your end-users, no matter their role or the applications they use.

Join us in this webinar to gain:
• Understanding of the challenges typically experienced when trying to develop an “air-tight” cybersecurity stack
• Strategies for protecting those devices that cannot be secured with traditional endpoint protection tools
• Learn what security measures are most effective against ransomware and file-less threats 
• Get tips for patching, monitoring, and managing the devices of remote workers'

How to Optimize Your Cybersecurity Stack

Cyber attackers are constantly look for new ways to wreak their havoc and one of the methods they employ is script-based attacks. Most endpoint security products handle file-based attacks well, scripts have therefore emerged as an excellent way for attackers to avoid making changes to a disk, as they easily bypass the threat detection capabilities of most products. 

Join us in this webinar, where we explore how script-based or fileless malware operates; how scripts provide initial access, enable evasion, and facilitate lateral movements post-infection. We’ll also address what can be done to prevent them, enabling analysts to recognize and identify attack methods.
Join us in this webinar to gain:
•Critical information on how script-based attacks work their malicious logic; how it operates and spreads infection
•Knowledge from the experts on how script-based attack techniques are modifying to penetrate and stay undetected by security operations
•Information on how security teams can identify attack methods
•Get some tips on how to make your organization more resilient to script based attacks

Live Demo: How to Protect Against Script based Attacks

The finding of Emotet on your corporate network can mark the beginning of the end, the death knell of  your organization’s security, heck, the end of your organization! In no small way, the creators of Emotet have been able to leave their notorious trail of destruction, through their advanced evasion techniques as they continuously work on finding new ways of being persistent and going undetected.

Join us in this webinar, where we explore the research conducted by Deep Instinct on the new wave of Emotet and the evasion techniques that it employs. Our research has shown the advanced use of obfuscation to hide the malicious API calls and the use of benign code to manipulate the algorithm of that sophisticated and expensive AI-based security tool that you may have in place.

Join us in this webinar to gain:
• Critical information on how Emotet works its malicious logic; how it operates and spreads infection
• Knowledge from the experts on how Emotet techniques are modifying to penetrate and stay undetected by many organizational security operations
• Information on how security teams can find the encrypted payload
• Get some tips on how to make your organization more resilient to an Emotet attack

Live Demo: How to Prevent the New Wave of Emotet

Deep Instinct’s latest Threat Landscape report is out now, revealing the top malware and ransomware families, leading malware trends, and a look into new cyber threats like IcedID, Qakbot, Dridex, and Trickbot aimed at the financial services sector.
 
One of its authors, Threat Intelligence Team Lead Moshe Hayun, will be highlighting some of the findings and latest developments to help you stay one step ahead.

2022 Threat Landscape Report Unpacked

Cyber Attacks

Endpoint Security

Threat Intelligence

Cyber Security

Information Security

Cyber Threats

Ransomware

Cyber Crime

Threat Analysis

Malware

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2022 Threat Landscape Report Unpacked

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