“The AI in security market is expected to be valued at USD3.92 billion in 2017 and to reach USD34.81 billion by 2025, a CAGR of 31.38%."
“Addressing today’s threats requires real-time Artificial Intelligence to scale your team of information security analysts across your entire enterprise.”
As one analyst puts it, “The volume of threat data is exceeding the capacity of even the most skilled security professional, and organizations are drowning in a sea of information that continues to grow as rapidly as the threat landscape itself. When organizations see over 200,000 security events every day and don’t have the skills to stay ahead, where do you turn?”
The answer, increasingly, in the use of AI-based solutions. Not only can automated, intelligent systems analyse volumes of data no humans can tackle, but they can spot patterns and anomalies far more quickly too
These abilities not only improve security, they lower its cost by reducing the number of analysts needed to manage the current crop of passive defences.
In combination with human analysts these systems are also far quicker and more accurate in identifying more complex threats and anomalies.
AI solutions now exist in network security, endpoint security, application security, and cloud security. Vendors exist who have applied machine learning to identity and access management (IAM), risk and compliance management, encryption, data loss prevention (DLP), unified threat management (UTM), antivirus/antimalware, intrusion detection/ prevention system (IDS/IPS), and pretty much every other area of cybersecurity – firewall, security and vulnerability management, disaster recovery, DDOS mitigation, web filtering, application white listing, and patch management.
Advanced AI and Machine Learning is helping analysts meet the volume and sophistication of modern attacks, reducing organizational risk, improving visibility and improving SOC teams’ ability to stay ahead of modern threats.
But with so many vendors claiming AI expertise, how can CISOs evaluate the AI ecosystem? How do vendors differentiate?
The e-Crime AI Forum will cover these and other key subjects for its audience of professionals tasked with safeguarding digital assets and sensitive data. There will be real-life case studies, strategic talks and technical break-out sessions to help end-users understand how these new technologies can be cost-effectively deployed in real-life business situations.