Okta vs Zscaler
Relationship
Identity Threat Protection and AI Endpoint Security both list threat detection and response; Okta's scale not recorded.
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
3 shared capabilities — Across all their products, both list data security, guardrails and safety and threat detection and response.
Ludbee capability tags · every product each company sellsShared product type — Both ship application and platform.
Ludbee product recordsAligned comparison
Capability overlap
Shared · 3
Not verified for Okta · 1
Recorded for Zscaler. Okta’s product records say nothing either way — a missing record is not a missing capability.
Okta has no capability Zscaler lacks, among the 3 recorded here.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Okta
Application
Continuously monitors user sessions, device health and other signals with AI-driven detections to catch identity threats such as session hijacking and token theft, and responds automatically with MFA challenges, read-only access or session termination across apps.
Platform
Identity security for AI agents: gives agents their own identities and governs their access, with Agent Gateway and the Cross App Access protocol alongside Okta workforce and customer identity.
Zscaler
Application
Discovers AI on managed devices and stops AI-specific threats on those devices.
Governance layer for employee use of generative AI that discovers shadow AI applications, applies allow, block or coach policies per user, and monitors prompts and responses against more than 100 data loss prevention dictionaries to stop sensitive data leaving through AI tools.
AI security posture management that auto-discovers and classifies AI models, agents and services across Azure AI Foundry, Amazon Bedrock, Google Vertex AI and unmanaged providers, correlates the sensitive data connected to them, and maps findings to frameworks including NIST AI RMF 600-1 and the EU AI Act.
Runs AI models over the security data flowing through the Zero Trust Exchange, using attack graphs, user risk scoring and threat intelligence to score the probability of a breach, forecast an attacker's next tactics, and recommend policy changes before the attack completes.
AI-driven detection and diagnosis of digital-experience issues across the network and application delivery path.
Platform
Cloud-native security platform that inspects and enforces policy on every connection between users, devices, workloads and AI agents, rather than trusting anything on a corporate network.
No counterpart
Zscaler sells these in a stack layer with no product recorded for Okta yet — nothing on the other side to compare them against.
API service
Real-time guardrails for LLM traffic that inspect prompts and responses inline to block prompt injection, jailbreaks, sensitive-data leakage and toxic or off-topic output, deployed either as a proxy or as an API-based Detection as a Service.
Inline, AI-powered sandbox that analyzes unknown files in real time to block zero-day and file-based malware before it reaches endpoints, using AI/ML models trained on 600M+ samples.
Developer tool
Automated adversarial testing for AI applications and agents that runs simulated attacks using 25+ predefined and custom probes across text, image, voice and document inputs, scoring results for security, safety, hallucination and business alignment against MITRE ATLAS, NIST AI RMF and the OWASP LLM Top 10.