Using the Power of Artificial Intelligence to Minimize Your Cybersecurity Attack Surface
Cybercrime is an exponentially growing threat to the world's businesses, governments, and citizens. Estimates of the annual impact of cybercrime on the global economy reach as high as $600 billion, and attackers have been easily evading signature-based antivirus solutions for years. Making matters worse, the exponential growth in both connected devices and malware is overwhelming the capacity of enterprise security teams. Organizations are being asked to secure IT, Mobility, IoT, and OT assets all while staying on top of the latest zero-day and polymorphic threats.
A new approach is needed to keep up with the evolving cybersecurity landscape. To address this need, SparkCognition has augmented how endpoint security protects organizations, leveraging the power of artificial intelligence to detect and prevent threats faster and with greater accuracy.
This session will include nationally recognized cybersecurity experts from the SANS Institute, as well as experts from SparkCognition, who are deploying artificial intelligence solutions for cybersecurity.
During this webinar we will cover:
- The evolving cybercrime landscape and the risks it poses to businesses
- How we built DeepArmor, a cognitive engine to classify unknown files as malicious or benign, including the characterized process for data collection, extraction, learning and training, and classification of threats
- How enterprise information security teams are adopting cognitive approaches, such as machine learning, to more quickly and accurately identify zero-day and polymorphic threats
- How natural language processing can accelerate threat intelligence, research, and remediation processes and provide insight into threats
