The digital enterprise is constantly expanding, with new IoT, cloud, and operational technologies all challenging traditional notions of cyber security. Safeguarding these evolving environments against machine-speed attacks has never been more difficult.

Yet the digital battleground now features its most formidable defender in Cyber AI — a self-learning technology that distinguishes friend from foe in order to thwart threats autonomously. With the Cyber AI Platform protecting your entire infrastructure in real time, it doesn’t matter whether the attack originates on a connected device, an industrial system, or in the cloud. Wherever it strikes, the AI fights back in seconds.

In this session, you’ll discover:

• Why only Autonomous Response can counter today’s machine-speed attacks
• Where advanced threat-actors exploit vulnerabilities in the cloud and IoT
• What achieving 100% visibility can reveal about your organization’s risk profile
• How the Cyber AI Analyst reduces the time spent triaging threats by 92%

The collective efforts of attackers have fundamentally changed the cyberdefense game. Today, adversaries are sophisticated, creative and tenacious -- launching attacks at unprecedented rates and volumes. Blue Hexagon Chief Strategist Danelle Au will dive into the threat landscape including new attack vectors and how they are delivered. She will present a new approach to detect network threats using deep learning. Deep learning neural networks can learn and intelligently make decisions on malware, even zero days seen for the first time. In this session, hear about why advances are possible today and how organizations worldwide are harnessing deep learning address the modern threat landscape.

Today 86% of organizations are in the process of building or already have an existing system in place to prevent/defend against insider attacks; if this statistic proves anything it is that more and more business are coming to terms with the hostilities of our world. Expected or unexpected, an employee with access to company-wide systems, no matter their intentions is a great threat to any organization. An employee with malicious intentions is dangerous, but according to a recent IBM survey, 95% of all breaches involved someone making a mistake. The Insider Threat panel at the Cyber Security Summit will show you how your organization is at risk, as well as showing you innovative & necessary steps to take in order to prevent attacks and increasing your defense systems.

Organizations process and store huge volumes of sensitive information that belong to their customers and employees – from financial information to medical records to personal identifiers, like social security numbers and birthdates. Inadequate controls in IAM processes and technology can lead to breach, involuntary exposure of this data, and non-compliance issues.

But you cannot correct what you don't know, so the first step in any IAM program is assessment.

IDMWORKS CEO & Chief Strategist, Todd Rossin, will address the most common questions around IAM Assessments & Roadmaps - Why Should We Assess? What Should We Assess? and When Should We Reassess?

All Artificial Intelligence is not the same. If A.I. mimics human behavior, what human do you mimic? @RISK presents the value of fusing human tradecraft, machine learning and big data to provide a real-time, quantified approach for managing enterprise wide cybersecurity and risk. @Risk’s application of A.I. and machine learning, fused with incident data, SIEM events, and threat intelligence results in a ‘new’ harmonized view of the network.

Specifically, “Network Consensus” synchronizes existing security products using: netflow and packet capture techniques, Dark Web Queries, and Attack Avenue testing in conjunction with IBM Watson’s Machine Learning and Cognitive Computing capabilities. The result is a real-time “situational awareness” for executives, managers and technical staff that provides a single view of the enterprise’s cyber security status and is measured through a balance scorecard.The benefits of automating Post Incident Digital Forensic Investigation (DFI) and its reuse for Pre-Incident Discovery will also be discussed. The objective of the session is to demonstrate how to transform an organization’s security and risk posture, to one that is predictive, preemptive and adaptive, in order to maximize cyber defenses and minimize risk.

In this session, Robert Wiggenhorn, Sr Director of Professional Services, will talk about how modern malware continues to circumvent even the most advanced enterprise perimeter and endpoint security tools. Even AI and Machine Learning-based technologies can’t seem to keep up with the most sophisticated and well-funded hackers. Join us to discuss new strategies today’s enterprises can employ to protect endpoints against ransomware, polymorphic malware, and threats that lurk inside email attachments, phishing links, file downloads and malicious websites.

Machine learning is a big step forward in combatting cyberattacks but is still no silver bullet. Many traditional cybersecurity solutions available today are causing huge operational challenges as they are not adequately fighting against today’s complex and sophisticated threats. Detection and response-based solutions are no longer sufficient as damage can already be done while waiting for the execution of an attack. Executives and security leaders need to start adopting a preventative approach to cybersecurity, which is made possible through Deep Learning.

Fortunately, AI technologies are advancing, and deep learning is proven to be the most effective cybersecurity solution, resulting in unmatched prevention rates with proven lowest false positive rates. As you evaluate new technologies for your organization, understand the differences and benefits of AI/ML/DL.

This session will cover:

• Introduction to Deep Learning – Differences between AI/ML/DL
• Applying deep learning as a preventative approach to cybersecurity
• Live demonstration of deep learning threat prevention

A common phrase in information security is: “It is a matter of when you will be breached, not if.” As the headlines provide real-life examples from Marriot, to Equifax, to FedEx, this seems more true than ever before. But what should you do to prepare, respond and recover from it? What tools and tactics will make it easier to detect a breach (either as it happens or after the fact), what do you say to key stake holders about what is happening and how do you pivot from “How did this happen” to “How can we make sure it doesn’t happen again”. Few things in IT can be as high visibility and high stakes as a breach and this panel will equip the audience with what they need to know to better handle when a breach happens.