Name: Cloud Security: Taking Cover with Self-Learning AI
Start: 2023-02-09T18:49:00Z
End: 2023-02-09T19:24:45.000Z
Location: BrightTALK
Rating: 5

Darktrace webinars span a range of cyber security topics, including evolutions in attacker methods, AI-driven cyber defense, and protecting technologies as diverse as IoT devices and cyber-physical systems. These webinars are ideal for anyone who wants to engage with forward thinking discussions surrounding the cyber threat landscape and technology innovations for cyber defense.

Hacktivism has dominated headlines in 2022. How will it evolve in the future? And what new threats should we be prepared for? Darktrace’s cyber experts will draw on their experience and research to share predictions for 2023. From the future of proactive security, to crypto-jacking and the rise of identity and MFA attacks, what does next year hold?

This webinar will feature Darktrace’s Global Head of Threat Analysis, Toby Lewis, and Director of Enterprise Security APJ, Tony Jarvis.

Darktrace Predictions: What's In Store for 2023?

In January, we predicted a rise in ransomware attacks, supply chain attacks and proactive security. What we did not predict, was that 2022 would be a game-changing year for cybersecurity.

Darktrace’s cyber experts will draw on their predictions for 2022 to share learnings and findings from the year. From cyberwarfare to cybersecurity shortages, to stricter cyber compliance and increased social engineering, what have we learnt from this year and how will this shape the security landscape of the year to come?

Looking back on 2022: The Cyber Landscape in Review

As cyber-attacks get more sophisticated and numerous, and the attack surface widens and becomes more complex, reducing cyber risk has become a top priority for security teams and the boardroom alike. Preventative security today consists of a patchwork of isolated solutions that work in silos, are human and resource-intensive, and often create unnecessary work for IT teams. 
 
Cyber criminals are not slowing down. With social engineering, supply chain attacks, and new vulnerabilities constantly emerging, defenders need an end-to-end solution that continuously analyzes their organization’s risk profile and helps them prioritize where to spend their time. 
 
Join Max Heinemeyer as he discusses how you can stay ahead of attackers and reduce risk through a Cyber AI Loop: an interconnected set of cyber security solutions that autonomously hardens defenses and uplifts human teams.

Getting Ahead of the Attacker: Mitigating Cyber Risk with a Cyber AI Loop

Join Jeff Cornelius, Darktrace’s EVP of Cyber Physical Security, to discover the cyber-threats facing critical infrastructure and how self-learning AI can protect against these attacks.
 
As IT and OT converge and organizations’ attack surfaces expand, unified protection of IT and OT has become critical. Meanwhile threat actors continue to innovate, finding new ways to avoid detection from signature-based detection. Critical infrastructure – which spans from food and energy to transportation and communications – is under attack from nation-state linked cyber-criminal groups, financially motivated threat actors and hacktivists alike.  
 
To defend against these threats, defenders are turning to AI that takes a fundamentally different approach to threat detection and response: learning ‘normal’ for every user and device, with no pre-conceptions of what an attack looks like.

Defending Critical Infrastructure with AI

Organizations continue to be targeted by increasingly sophisticated ransomware. The speed at which these attacks escalate forces security teams to take drastic and heavy-handed action to stop threats — often with broad-ranging and serious implications.

As digital infrastructures become more interconnected, the knock-on effects of ransomware will continue to worsen. It’s time to shift to a proportionate response strategy – stopping the attack, while allowing your business to operate as it should.

Join Brianna Leddy, Darktrace Director of Analysis, as she unpacks the stages of a ransomware attack, step by step, illustrating what impact each one might have on an organization with and without Autonomous Response.

The Stages of a Ransomware Attack: How AI Responds at Every Step

For decades, cyber-attackers have appeared to have the upper hand in an ever-changing and increasingly sophisticated information risk landscape. Some would argue that organized cybercriminals have more effectively leveraged information sharing to their advantage. But what could tip the scales in the other direction?
 
A challenge facing Chief Information Security Officers is how to help senior executives and Boards of Directors understand and visualize the real risks that face their specific organizations. Beyond general vulnerabilities, what would the intent of the attacker be? What paths may they take to cause the most disruption to the business, the most damage to systems, or even the most danger to infrastructure safety?
 
Applying cutting-edge research in attack path modeling led Darktrace to use AI to discover, simulate, and prioritize cyber risk from inside a company. Hear from two top security executives whose teams are testing new technologies in these areas and how this goes far beyond new shiny products to continuously test controls to mitigate real-world risks and finally give defenders the advantage.
 
Moderator: Nicole Eagan, Chief Strategy Officer & AI Officer, Darktrace
Panelist: Martin Sloan, Director of Security, Drax Group
Panelist: Mike Beck, Global Chief Information Security Officer, Darktrace

Attack Path Modeling: Giving the Good Guys the Advantage

Data breaches are increasingly on the rise; cyber attacks continue to evolve in sophistication, businesses must remain vigilant and informed and arm themselves with the right tools and strategies to defend themselves when the inevitable happens. 

Join this roundtable discussion with security experts to learn more about:

- Trends in cyber attacks and breaches and what's at risk
- Prevention best practices
- Solution recommendations for breach detection and response
- Key factors for CISO success
- What's on the horizon for 2022

Moderated by: 
Michelle Drolet, CEO, Towerwall
Panelists:
Dan Schaipa, Chief Product Officer, Arctic Wolf
Andrew Rose, Resident CISO, EMEA, Proofpoint
David Masson, Director of Enterprise Security, Darktrace

The 2022 Cyber Security Landscape

With the holiday season well underway, cyber defenders and cyber criminals alike are in the midst of a busy time.  Hackers are known to exploit the festive season with a range of tactics: from phishing campaigns luring victims with time-sensitive deals, to targeted supply chain attacks. 
 
Critically, ransomware resurges as criminals attempt to disrupt businesses when security teams are out of office and human response times are inevitably slower. Autonomous security that can intelligently respond to cyber-threats at machine speed becomes all the more necessary in this time of elevated risk. 
 
Join Brianna Leddy, Darktrace Director of Analysis, as she explores the cyber-threat trends of the holiday season and how Self-Learning AI uniquely stands to protect organizations from seasonal spikes in attacks. 
 
Brianna will explore real-world threat finds discovered by AI, including:
-A Christmas Day ransomware attack
-A doppelganger attack
-Black Friday phishing

Fight Holiday Cyber Crime with Self-Learning AI

Join Justin Fier, Darktrace’s Director of Cyber Intelligence & Analytics, as he uncovers the security challenges facing the automotive industry and cyber-physical transportation ecosystems.  
 
In this area, Self-Learning AI provides the ideal solution to keep pace with rapid changes in the threat landscape and industrial technologies, with its ability to detect never-before-seen attacks and adapt to any changes in infrastructure. 

Justin will explore: 
-How CASE innovations in the transportation sector create new security challenges
-Why McLaren Racing is using AI to protect its critical systems
-How Autonomous Response fights back against emerging cyber-threats at machine speed

Self-Learning AI: Protecting Transportation from Cyber-Threats

“Data is the heartbeat of what we do […] if we lose the ability to effectively analyze that data, we lose everything.” Taylor Kiel, President, Arrow McLaren

Leading INDYCAR team Arrow McLaren SP produces 40-50 gigabytes of data during a typical race weekend. The integrity and availability of this data is the lifeblood to its success – and every day new cyber-threats arise to jeopardize performance on race day.

 Join Marcus Fowler, Darktrace Director of Strategic Threat, Ed Green, Head of Commercial Technology, McLaren Racing and Taylor Kiel President Arrow McLaren SP to hear how Darktrace’s AI seamlessly scales to protect McLaren in both Formula 1 and the NTT INDYCAR series. Explore how McLaren protects its digital estate from threats like phishing, ransomware, and supply chain attacks with machine-speed, self-learning AI.

How Arrow McLaren SP Stay Ahead of Cyber-Threats

Join David Masson, Darktrace’s Director of Enterprise Security, as he uncovers the evolving cyber security challenges facing infrastructure and cyber-physical ecosystems, in light of serious attacks this year on critical national infrastructure.  

In addition to evolving attacker techniques and the rising threat of nation-state actors, the task of protecting critical national infrastructure is made more difficult by evolutions in the technological architecture of ICS, including digitized OT. 

Organizations need to prioritize defensive security to keep pace with rapid changes in the threat landscape and industrial technologies.

In this webinar, David will explore: 

-How IT/OT convergence and other infrastructure evolutions complicate the digital landscape
-How Self-Learning AI uniquely learns ‘normal’ across all digital environments  
-How AI autonomously responded to Serpent ransomware, thwarting it in its tracks

How Self-Learning AI Guards Critical Infrastructure

The widespread adoption of cloud services has created digital environments where businesses can innovate, collaborate, and share more than ever before. However, this is often at the cost of visibility and control.    Join Mariana Pereira, Darktrace’s Director of Email Security Products, as she discusses the challenges of securing cloud infrastructure and SaaS applications, and learn why Cyber AI is best-in-class in protecting organizations’ dynamic workforces and constantly-changing digital infrastructure. Hear how global businesses are defending their cloud platforms, including Microsoft 365.

Silver Linings: Self-Learning AI for Cloud and SaaS

New strains of ransomware are leaving organizations vulnerable – too often, security teams lack the ability to interrupt an attack fast enough, without causing knock-on damage to the rest of the organization.

Join Justin Fier (Director of Cyber Intelligence & Analytics) and Brianna Leddy (Director of Analysis) as they unpack some of today’s most advanced ransomware threats, and share how self-learning Cyber AI can autonomously stop ransomware – while allowing business operations to continue as normal.

In this 30-minute webinar, our experts will discuss:
* New ‘double-threat’ ransomware and ‘Ransomware-as-a-Service’
* Three real-world examples of ransomware detected by Darktrace AI: a zero-day, Sodinokibi, industrial ransomware
* How self-learning AI responds proportionately to ransomware, thanks to a deep understanding of an organization’s ‘pattern of life’

Ransomware in Focus: How AI Surgically Contains the Threat

Over the past year, healthcare organizations have been drawn to the forefront of the public eye unlike ever before. As hospitals and healthcare organizations across the globe strive to provide the best possible patient care under increasingly immense strain, attackers are ramping up their efforts against them. Ransomware attacks, phishing campaigns and even nation-state actors pose a growing threat to the healthcare industry, and holding valuable data from patient files to new vaccine research, they remain a primary target for cyber-criminals.
 
Join Justin Fier, Director of Cyber Intelligence and Analysis at Darktrace, as he discusses the cyber-threats that the healthcare sector is facing today and how security teams can take a proactive approach to protect their systems, data, and ultimately, their patients.

Healthcare Security: How AI Fights Back Against Machine-Speed Threats

The future of work remains unpredictable and uncertain. More than ever before, business leaders need to remain confident that their operations can continue securely in the face of global or even regional crises, and while sections of the economy are slowly re-opening, cyber-attackers are ramping up their campaigns.   

As businesses look set to rely on cloud and SaaS tools for the long term, our digital environments are going to be more dynamic than ever. Yet organizations are finding themselves undergoing a delicate balancing act—each new work practice and technology that is introduced also brings unforeseen risk. Static, legacy approaches have become redundant, both unintelligent and ill-equipped to adapt.   

Organizations must rethink their approach to security, and rely on new technologies like AI to achieve much-needed adaptability and resilience. Darktrace is the world leader in cyber AI technology, and leverages unsupervised machine learning to seamlessly adapt and integrate into changing environments, and to detect and respond to attacks in the earliest moments.   

In the face of an uncertain present and future, Cyber AI enables businesses to continue communicating, operating, and innovating.

Securing the Future of Work with Cyber AI

A new year, a new era of cloud attacks. Securing your cloud has never been more critical as vulnerabilities dominated the spotlight in 2022.

How will the threat landscape evolve? What can we do to safeguard our cloud infrastructure in 2023?

In this session, Darktrace shares its proactive approach using self-learning AI to autonomously prevent, detect, and respond to cyber threats in your unique cloud environment.

Featuring Darktrace’s Senior Technical Manager, Maria Fung, and Cloud Solution Architect, Kien Tran.

Cloud Security: Taking Cover with Self-Learning AI

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Cyber Crime

Cloud Security

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Cloud Applications

Artificial Intelligence

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Cloud Security: Taking Cover with Self-Learning AI

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