I'm Tamara Shostak, an AI and cybersecurity engineer. I work on protecting web applications and APIs, from bot attacks to targeted hacking attempts.
For more than six years I've built and led teams that develop machine learning for security: anomaly detection frameworks, automated bot mitigation, and systems that reduce vulnerabilities.
This blog is where I write about that work: security, machine learning and data.
Posts
- The Tragic Alley of the LLM
- Next-Gen WAF: What Can Be Done
- Next-Gen WAF: What the Evidence Supports
- LLMs in Business: Documentation, Support and Data
- Visualizing Education Data
- Inclusive Education: Regional Case Studies
- Predicting Education Completion Rates
- Measuring Inclusive Education with UNESCO's SDG 4 Data
- Real-Time Anomaly Detection for Web Traffic with Grafana and ClickHouse
- Reducing False Positives: An Overview
- False Positives and Machine Learning, Part 2
- Inspired by Marie Curie
- Rate Limiting Beyond Static Thresholds
- Security Across Multiple Clouds
- False Positives and Machine Learning, Part 1
- Machine Learning in Web Security
- BigQuery ML at Google Cloud Next '18
- CPDoS: Cache-Poisoned Denial of Service