Protect AI vs Trellix Helix
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Protect AI is an enterprise AI security platform that combines model scanning, scalable AI red teaming, and runtime threat detection to help organizations assess and mitigate risks across model formats and AI application types including RAG systems and agents.
Cloud native security operations platform for ingesting telemetry, correlating threats and orchestrating response across a wide ecosystem.
Feature Tags Comparison
Key Features
- Guardian scanning: Scan models for security issues across major model formats with checks targeting threats like backdoors and unsafe deserialization
- Recon red teaming: Run scalable AI red teaming and vulnerability assessments to surface risks before launching AI apps to production
- Layer runtime detection: Use runtime scanners to detect attack patterns and protect AI apps including RAG systems and agents in production
- Unified platform: Operate Guardian Recon and Layer within one platform to align findings and workflows across teams
- Integration emphasis: Product pages highlight integration with existing scanners and environments to fit into current security programs
- Pre production decisions: Use Recon insights for model selection and evaluating the effectiveness of existing defenses
- 500 plus integrations across 230 vendors: ingest logs alerts and telemetry without building brittle connectors
- Correlated detections and entity views: see relationships across users hosts identities and cloud assets
- Case management and timelines: organize investigations with evidence artifacts and analyst notes
- Automation and playbooks for response: accelerate containment enrichment and ticketing across tools
- Threat contextualization and intel: enrich alerts with global feeds and local knowledge bases
- Role based access and reporting: align with compliance and executive needs
Use Cases
- Model intake review: Scan third party models before deployment to catch unsafe formats and known threat patterns early
- Pre launch testing: Red team an AI app to identify prompt injection and misuse risks then prioritize mitigations before go live
- Runtime monitoring: Detect hostile prompts or suspicious behavior patterns in production AI systems including RAG and agent flows
- CI security gates: Add model scanning into build pipelines so releases fail when risk thresholds are exceeded
- Vendor governance: Evaluate model providers with consistent scanning and test reports for procurement and audit
- Incident response: Use findings and logs to triage suspected AI attacks and coordinate remediation across ML and security teams
- Unify detections across endpoint network and cloud
- Reduce MTTR with enriched correlated alerts
- Automate repetitive SOC tasks and handoffs
- Modernize SIEM workflows without rip and replace
- Run 24x7 operations with case management
- Provide exec ready reporting and KPIs
Perfect For
appsec engineers, ml engineers, mlops teams, security architects, governance and risk leaders, product owners shipping ai features, enterprise teams with production rag or agent systems
security operations teams platform owners and CISOs who need a cloud delivered SOC platform that integrates widely and accelerates investigation and response
Capabilities
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