Name: We Prevent What Others Can't Find - Deep Instinct Overview
Start: 2019-11-13T17:05:00Z
End: 2019-11-13T17:05:41.000Z
Location: BrightTALK

Deep Instinct, the first and only preemptive 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.

Legacy cyber tools are not built for modern threats.

Attackers have turned AI into an autonomous weapon that never stops, never sleeps, and adapts faster than any security team can respond. AI agents can now execute the entire cyber kill chain without human intervention, from reconnaissance and exploitation to lateral movement, privilege escalation, and data exfiltration. 

While defenders wait for board approvals and vendor updates, criminals are three moves ahead—and gaining speed. The only way to fight back is with AI that's built to win—faster, smarter, more adaptable. So what does defense look like now?

Join us on Wednesday, December 17th at 3 PM GMT / 11 AM ET / 8 AM PT, for a live workshop where we’ll do the following:

- Build AI agents that can orchestrate and execute multi-stage attacks autonomously
- Demonstrate the necessity of deep learning for fighting back
- Reveal how defenders can stay ahead of attackers

See the future of cyber defense in action and learn why speed, accuracy, and adaptability are no longer optional.

Meet the Fully Automated Kill Chain: Legacy Cyber Tools are Dead

Criminals, aided by Dark AI, are ramping up attacks — and defenders are feeling the burn. Alert storms are overwhelming teams; preventing excessive false positives while gaining explainability for the threats that matter is urgent.

Introducing the Deep Instinct Artificial Neural Network Assistant — DIANNA.

Join us on Wednesday, October 1st at 3 PM GMT / 11 AM ET / 8 AM PT, for a live demonstration where we’ll do the following: 

* Create new, never-before-seen AI-generated malware in seconds
* Prevent it instantly with the world’s only deep learning-based cyber solution
* Perform live analysis with DIANNA, showing full threat explainability in <10 seconds

This is your chance to see how AI supercharges defenders; don’t miss it.

DIANNA Explains: Supercharging the SOC with Malware Explainability

Over the past year, cybersecurity professionals have been at the forefront of an escalating battle to secure organizations against cyberattacks.

We surveyed SecOps professionals about the state of the industry, emerging trends in AI, and present and future threats to get their take on the new technologies and challenges facing cybersecurity.

Join us on Wednesday, June 18th, at 4 PM BST / 11 AM ET / 8 AM PT for our expert analysis of the 2025 Voice of SecOps Report: Cybersecurity & AI: Promises, Pitfalls — and Prevention Paradise

During this webinar, we’ll cover the following:

* New Phishing Threats: 46% saw an increase in targeted phishing, including deepfakes
* The AI Boom: 86% of organizations are using more AI in their cyber operations
* Emerging Tech: Quantum computing and evolving AI are stoking fears
* Preparing for Prevention: 82% are implementing prevention-first cyber strategies

2025 Voice of SecOps Research: Cybersecurity & AI: Promises, Pitfalls — and Prevention Paradise

The upward trend of global cyberattacks continued in 2024. Organizations across the globe were targeted by sophisticated new AI-powered attacks launched by hacker groups and nation-states alike. These new capabilities present new problems for defenders, as well as new opportunities.

Join us on Wednesday, March 26th, at 3 PM GMT / 11 AM ET / 8 AM PT to learn more about these trends and what our experts expect in the year ahead as they discuss the "2025 Threat Research Report: The Changing Face of Global Threats."

During this webinar, we’ll cover the following:

* Most Dangerous Malware of 2024: Breaking down the key trends and the year’s most sophisticated threats
* The Rise of Ransomware-as-a-Service (RaaS): How RaaS is changing the threat landscape
* Cyber Warfare & Global Conflict: How geopolitical tensions are driving cyber threats
* Critical 2025 Predictions: What’s coming and how to prepare

The New AI Threat Landscape: 2024 Year in Review & What to Expect in 2025

Data storage is under siege. Whether data is stored in NAS, the cloud, or the hybrid-cloud, bad actors are targeting it with sophisticated, AI-driven cyberattacks. 

Organizations need solutions that protect their data wherever it resides and during the migration between repositories and data storage methods.

Join us on Tuesday, February 25th, at 4 PM GMT / 11 AM ET / 8 AM PT for an introduction to DSX for Cloud – Amazon FSx NetApp and learn how Deep Instinct protects your data from the start of your cloud migration to full cloud implementation.

We’ll cover the following:

* How DSX for Cloud – Amazon FSx NetApp prevents threats to Amazon FSx for NetApp ONTAP storage
* How we prevent threats during the cloud migration phase of cloud transformations and continue to prevent them in the hybrid-cloud environment
* Why a deep learning solution is necessary to combat Dark AI threats

Cloud Migration Security: Protecting FSx NetApp from Zero-Day Threats

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?

What makes Deep Instinct's deep learning-based cybersecurity solution unique? Brian Black, our Senior Sales Engineer provides an overview of Deep Instinct's zero time, preventative solution. He explains the value of having a deep learning framework dedicated to cybersecurity; As the deep learning algorithm is able to analyze files statically in pre-execution, it enables zero time prevention, meaning files are detected and prevented prior to executing and running. Furthermore, the 'intelligence' of the algorithm entails that higher detection rates can be achieved while producing industry-low levels of false positives.

We Prevent What Others Can't Find - Deep Instinct Overview

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We Prevent What Others Can't Find - Deep Instinct Overview

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