Dark Reading - How to Use AI and Machine Learning to Improve Enterprise Security
•Anthony G. Tellez•2 min read
Machine LearningSecurityAIWebinarIncident Response
Many cybersecurity vendors today use terms such as "AI" and "machine learning" to describe the capabilities of their products. But what exactly do these technologies do, and how can you implement them to improve your everyday IT security processes?
Webinar Overview
This Dark Reading webinar cuts through the hype to provide:
- Useful definitions of AI and ML terms in security context
- Practical applications of the technology
- Speed improvements for incident reaction time
- Resource optimization for IT security staff
Key Topics
Demystifying AI & ML
Clear, actionable definitions that help security teams understand:
- What AI and ML actually do in practice
- How they differ from traditional security approaches
- When and where to apply these technologies
Practical Applications
Real-world implementations that deliver measurable results:
- Automated threat detection
- Incident triage and prioritization
- Anomaly detection at scale
- Behavioral analytics
Improving Operations
Concrete ways ML enhances security operations:
- Faster Response Times - Automated analysis reduces time from detection to action
- Better Resource Utilization - Free analysts from repetitive tasks to focus on complex threats
- Proactive Defense - Predictive capabilities enable preemptive action
Implementation Strategies
Guidance on successfully deploying ML in production environments:
- Data preparation requirements
- Model training and validation
- Integration with existing security tools
- Measuring effectiveness and ROI
Presentation Materials
Dark Reading Webinar | August 2018