AI-Driven Malware Detection (ATP) & Data Loss Prevention (DLP)

On-Demand Webinar (30 min)
With Jayakrishnan Iyer, Distinguished Engineer

As cyber-attack techniques grow ever more sophisticated, traditional signature-based defenses struggle to keep pace. In this webinar— “AI-Driven Malware Detection & Data Loss Prevention”—we explore how Versa’s advanced AI/ML methodologies can transform both threat prevention and data protection in your security infrastructure. You’ll learn how to harness the power of supervised, unsupervised, and deep-learning models to detect malware strains in real time, while applying intelligent tagging, classification and detection to prevent sensitive data exfiltration.

Join Versa Networks on May 29th for insights on running your security tools safely, no matter where they might reside.

The discussion will cover:

Understand AI/ML‐Based Malware Detection

  • The role of feature engineering (e.g., opcode sequences, API call patterns, network telemetry) in building robust classifiers
  • Supervised learning pipelines (random forests, gradient boosting, neural networks) for identifying known and zero-day malware.
  • Unsupervised and semi-supervised detection techniques to surface previously unseen threats differentiated per file-type.
  • Deployment case studies: deploying model inference in the public cloud and Versa cloud gateways.

Understand Machine-Learning-Powered DLP

  • Text and content embedding methods (e.g., transformer encoders) for low-latency semantic classification of documents.
  • Using per-content-type models depending on Image, Documents, Text etc. for content inspection and detection of PII/sensitive information.
  • Deployment in public/private cloud and Versa Cloud Gateways.

Integrate & Operationalize AI-Driven Controls

  • Orchestrating threat-intelligence feeds and ML model updates via CI/CD for security operations
  • Measuring model performance through precision/recall KPIs, drift detection, and continuous feedback loops for model updates.

Who should attend?

  • CISOs and CTOs interested in learning how AI/ML based security can be integrated into their current SSE stack
  • IT and cybersecurity professionals seeking to update their security infrastructure with AI/ML based solutions.
  • Decision-makers in charge of digital transformation and cybersecurity strategies
  • Compliance officers and risk managers aiming to ensure their organizations meet evolving cybersecurity standards.
  • Organizations that need to consolidate multiple-point solutions into an integrated security suite powered by AI.

Attendee Learning Overview:

During this webinar, security architects, CISOs, and other key stakeholders will leave armed with a concrete roadmap for designing and deploying Versa’s AI/ML based ATP and DLP solutions that not only detect malware more accurately but also safeguard critical data from leakage—shifting your organization from reactive defense to proactive, intelligence-driven security.

Key takeaways will include:

  • Approach to engineer and deploy real-time ML classifiers for zero-day malware detection at scale within Versa’s Advanced Threat Prevention service.
  • Techniques for leveraging semantic embeddings and transformer models to automate and strengthen DLP policies.
  • Best practices for operationalizing AI-driven security controls, CI/CD integration, and data-driven performance monitoring