April 15 2021 11:00 am PDT
Machine Learning based security analytics can identify these malicious insiders by their behaviors and highlight the risk before they cross the line from a potential issue to an active threat. In many cases, malicious actors display telltale behaviors well before they act which means it’s possible to identify the risk early enough to prevent an unhappy employee, or deliberate threat actor, from doing damage to the organization.
Join us to explore how Gurucul’s Machine-Learning risk analytics platform can help you identify and remove malicious insiders before they generate a newsworthy incident.
ON DEMAND WEBINARS
Behavior is the leading threat indicator. Detecting and stopping insider threats and cybercriminals involves monitoring and linking three pillars of behavior. Analyzing the access and activity of a user for their accounts and entitlements is ground zero for predictive risk scoring.
Watch this webinar to understand how to:
– Reduce risk of orphan or dormant accounts being compromised or misused
– Identify orphan and dormant accounts automatically
– Identify account owners or mark an account for review
Learn how pre-packaged threat hunting analytics can be used for both active and passive threat hunting capabilities. See how real-time contextual linking helps enrich threat hunting data.
Join us for a quick look at what’s involved in retiring old equipment and migrating to it’s replacement. We’ll also look at how security analytics can help show where the old iron may be adding unnecessary risk.
Watch this webinar for a review of some real world cases where contextual data was able to reveal an attack before it became a major data breach.
Watch this webinar to understand how to integrate endpoint, network, and application telemetry for real-time threat detection.
Machine learning based behavior analytics delivers the ability to aggregate, filter, correlate, link, and make sense of enormous volumes of disparate data feeds in real-time. Fuel your cybersecurity transformation with big data.
Position your organization for cybersecurity success in 2021:
• Automate SOC operations
• Monitor the remote workforce
• Get visibility into cloud applications and infrastructure
• Manage risk with data science
Learn how Gurucul’s Unified Risk and Security Analytics platform uses machine learning and artificial intelligence to deliver advanced automated incident response. By applying AI, the system can adapt and react to new threats even as they’re developing.
Watch this session for details on our best practice recommendations based on our experience. With proven strategies and tactics, organizations can get to the point where they are able to remediate insider threats in real-time or at least before data is exfiltrated.
Gurucul has years of experience in the field implementing our cloud native analytics-driven SIEM in customer environments large and small, with extensive technology integrations as well as with limited data ingestion. The best practices are similar across the board whether you’re a large enterprise or a small hospital.
What should you be doing from a security practitioner perspective? Gurucul has spent the last decade helping organizations globally to deter, predict, detect, and remediate insider risk. We share our experience as well as a framework we have used with large, global companies.
Gurucul has invested significant R&D efforts to deliver Artificial Intelligence (AI) Driven Security Operations Center (SOC) automation. Attend this webinar to learn about our cutting-edge capabilities to help reduce Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR) to security incidents.
Gurucul takes siloed, disparate, security data sources, analyzes them, and presents a unified risk score that Security Operations personnel can actually use. Join us to learn more.
Watch this webinar on securing medical devices to understand how advanced behavior analytics detects anomalies associated with security risks that can threaten patient safety.
Watch this webinar to learn how Gurucul Behavior Analytics can weed out IoT anomalies since these devices perform a narrow set of functions that allow abnormalities to pop out.
Watch this webinar for an in-depth look at a couple of Insider Threat cases studies and how Advanced Behavioral Analytics can address the challenges posed by these pernicious threats.
Watch this webinar as we look at the main use cases in the Insider Threat space and how advanced analytics can help your organization mitigate the risk imposed by malicious insiders.
Watch this webinar to learn how Gurucul’s Risk Based Authentication can help you streamline, optimize, and personalize your user and customer authentication experience.
Watch this webinar to learn how to manage risk and make risk-based decisions in a world where zero day threats can take down entire networks in seconds.
Watch this webinar to understand how Gurucul Unified Security and Risk Analytics offers real-time updates into behaviors that impact governance and compliance controls.
Watch the Zero Trust Security Webinar for an expert analysis on the unique role that security analytics and security automation plays in achieving a genuine zero trust environment.
Watch this webinar to learn how machine learning based behavior analytics takes security beyond SIEM correlation rules and queries. By taking security beyond SIEM, you can identify risky changes in behavior patterns in real-time and automate corrective action. Get actionable intelligence with low false positives.
Modern machine learning algorithms can detect the change in a user’s behavior from the moment the credentials are compromised. Detection can be tied to specific activities such as a series of failed login attempts, an atypical IP address or unusual activity in general.
Watch this webinar to find out how this free service can help you put advanced threat detection controls in place to identify users who are at risk from phishing attacks, detect users whose accounts may have been compromised, prevent data exfiltration, and more.
Join us as we take a look at the Insider Threat problem from a different perspective. We’ll explore where the SOC sits in the picture, what could cause an analyst to turn to the dark side, and how to mitigate the risk.
As workforces go remote, new types of insider threats are cropping up. During Threatpost’s June webinar, a panel of experts including Saryu Nayyar, CEO at Gurucul; Craig Cooper, COO at Gurucul; and Theatpost Editors Lindsey O’Donnell Welch and Tara Seals, discussed how to detect and prevent today’s insider-based malicious activity.
Watch this webinar to learn how AI-based advanced analytics serves as a force multiplier for remote SOC analysts. It can adapt seamlessly to the changing threat situation and empower the Security Operations team in the face of a brand new “normal.”
Even the most advanced security solutions have gaps. DLP, Firewalls, network monitoring – no solution is complete on its own. By leveraging the data and information you already have and analyzing it to build behavior profiles and look for anomalies, Gurucul is able to detect and stop cyber threats like never before.
Dealing with remote workers, a surge in temporary workers, headcount reductions, and a staggering demand for staff in some industries has radically impacted access controls across the board. Get actionable insights into your access risks by using ML and AI to perform identity analytics on employee and contractor access.
Join Gurucul for Taco Tuesday! It’s Cinco de Mayo and we’re serving up Margaritas and ingredients for successful Unified Security and Risk Analytics programs. Join this webinar to learn our secret recipe when it comes to detecting, predicting and preventing data breaches.
Gurucul has recently made a free 30-day Remote Workforce Monitoring Service. Attend this webinar to find out how leveraging our unique offerings can radically change the way you secure third party contractors working remotely.
Stay ahead of attackers with Network Traffic Analysis. Identify unknown network threats on network flows and packet data. Detect endpoint malware missed by software dependent on signatures and known patterns. Discover and report any unknown or unseen devices on the network.
Speaker: William Scandrett, CISO, Allina Health
Super Bowl LII was held in Minneapolis, MN – the home of Allina Health. Allina needed to monitor Healthcare providers activities to detect unauthorized or rogue access to patient’s data, and to prevent PHI data exfiltration.
Advanced threat detection requires dynamic and proactive techniques powered by machine learning, artificial intelligence, and security analytics. Attend this webinar to learn how Gurucul’s beyond SIEM capabilities support advanced threat detection with risk prioritized alerts.
Speaker: Kurt Lieber, CISO, Aetna
Organizations need to be looking at Model-Driven Security Orchestration, where the security responses to emerging threats and attacks are automated and driven at machine speed. In this presentation, Kurt Lieber provides an overview of Aetna’s security orchestration program.