AI-Powered SASE: Transforming Threat Detection and Response with VersaAI

dhiraj-sehgal
By Dhiraj Sehgal
Senior Director, Product Marketing
May 14, 2025

Your teams are under constant pressure to detect and respond to threats faster and more accurately than ever. With the rise of GenAI applications, sophisticated malware, and increasingly complex data protection needs, traditional security models are no longer sufficient. Versa’s AI-powered Universal SASE solution brings advanced analytics, deep learning models, and intelligent automation into every layer of your security stack.

This blog explores how Versa Universal SASE enhances threat detection and incident response, delivers continuous security optimization, and sets the stage for autonomous, self-protecting networks.

The AI Security Imperative: Why Innovation Is Essential

Artificial Intelligence has revolutionized many domains, and cybersecurity is no exception. However, as defenders embrace AI, so do attackers. The speed, scale, and sophistication of today’s threats—fueled by adversarial AI and automated attack chains—are outpacing traditional defenses. Security teams must now contend with everything from polymorphic malware such as Emotet which evades detection by modifying its code structure while retaining malicious behavior, sophisticated data exfiltration, and zero-day exploits to insider threats and GenAI misuse.

Meanwhile, enterprise environments have grown increasingly complex. Hybrid work, bring-your-own-device (BYOD), multi-cloud architectures, and the explosion of IoT and edge devices have widened the attack surface and created visibility gaps. Traditional threat detection and response processes simply cannot keep up.

To stay ahead, organizations need more than static policies or isolated detection engines. They need AI-powered Universal SASE solutions that are adaptive, autonomous, and context-aware—solutions that don’t just react to threats but predict and prevent them.

Challenges Required to be Addressed by AI-driven Security Platforms

The following are key limitations of legacy security approaches in an AI-powered world:

1. AI Blind Spots and Adversarial Threats

AI/ML models themselves can become targets. Attackers exploit model weaknesses or inject adversarial inputs to evade detection. Versa platform leverage AI combats this by using multi-stage detection pipelines with a blend of gradient-boosted trees, deep neural networks, and Transformer-based models, each validating and reinforcing the others’ predictions.

2. Lack of Context and Explainability

Many ML-based detection systems fail to explain why an anomaly occurred, leaving SOC analysts overwhelmed with alerts. Versa is working on Explainable AI to surface meaningful explanations for detected anomalies and visualize relationships and behavioral patterns across user entities.

3. Scattered Intelligence and Fragmented Policy Management

Security insights often live in silos, and policy creation is error-prone and time-consuming. Versa integrates AI Ops with security tools, allowing teams to convert natural language into enforceable policies, and Co-Pilots like Verbo and VersaGPT to automate documentation and troubleshooting.

4. Delayed Detection and Response

Traditional systems analyze logs after an incident, delaying containment. Versa UEBA uses machine learning to build behavioral baselines for users and entities. Instead of relying on static rules, it dynamically detects deviations from normal behavior (e.g., unusual access times, data transfers, or geolocations), enabling faster detection of insider threats and compromised accounts. Versa also assigns real-time risk scores to user activities. This allows security teams to prioritize threats instead of chasing low-risk alerts, which improves Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR).

Versa Universal SASE: A Unified AI-Driven Security Stack

Versa integrates multiple AI/ML techniques to provide an intelligent security architecture that spans threat protection, data protection, user and entity behavior analytics (UEBA), and AI Ops.

Threat Protection at the Edge

  • Zero-Day Protection leverages sandbox verdicts using gradient-boosted trees, DNNs, and Transformer models to flag previously unknown malware
  • Integrated NGFW (Next-Gen Firewall) includes ML-based malware detection for real-time prevention.
  • The GenAI Firewall adds a security layer to restrict and control GenAI interactions based on content risk.

Versa UEBA: Real-Time Anomaly Detection

Versa’s User and Entity Behavior Analytics (UEBA) continuously monitors behavior across users, devices, and applications.

  • Employs prediction models, anomaly detection, and intelligent alerting to flag suspicious activity.
  • MITRE ATT&CK mapping for comprehensive threat context.

AI-Driven Data Protection

Versa brings contextual DLP to the forefront:

  • Uses Transformer models and LLMs for advanced data classification and pattern recognition, including OCR and document types.
  • Provides early data classification at the edge to prevent leakage in real-time.

Security along with AIOps and Co-Pilots

Versa platform is not just about detection—it’s about operational efficiency:

  • Co-Pilots, including Verbo (chatbot) and VersaGPT (documentation assistant), simplify management, troubleshooting, and policy enforcement.
  • Versa AI automatically correlates signals across users, entities, networks, and apps—eliminating the need for manual alert stitching. Whether through UEBA insights or platform-wide analytics, it connects the dots in real time so security teams can act faster with full context and fewer false positives.
  • AI models proactively predict capacity needs, detect potential faults, and recommend actions.

How does Versa Universal SASE help with AI-driven security

Versa Universal SASE sets itself apart with:

  • Entity-wide anomaly detection: across users, phones, laptops, IoT.
  • Multi-stage malware detection with deep learning models.
  • Mixed LLM/Transformer-based models for smarter data protection.
  • GenAI Firewall for securing interactions with generative AI.
  • Explainable AI to provide visibility into ML-based decisions.
  • Copilot experiences that make security intuitive and accessible.

Versa Universal SASE isn’t just bolting AI onto existing systems—it reimagines what secure access and threat management look like in an AI-driven world. From malware and data loss to GenAI usage and insider threats, Versa’s AI-powered SASE provides the simplicity, intelligence, and automation that modern enterprises need.

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Gartner Research Report

2024 Gartner® Magic QuadrantTM for SD-WAN

For the fifth year in a row, Versa has been positioned as a Leader in the Gartner Magic Quadrant for SD-WAN. We are one of only three recognized vendors to be in the Gartner Magic Quadrant reports for SD-WAN, Single-Vendor SASE, and Security Service Edge.