AI Security & Safety Platforms Comparison
Compare AI model security and safety platforms - adversarial protection, model scanning, red teaming, guardrails, and compliance.
Last updated: 2026-02-11
| Feature | ||||||
|---|---|---|---|---|---|---|
| General | ||||||
| Headquarters | Seattle, WA | Austin, TX | San Francisco, CA (now Cisco) | Zurich, Switzerland | Washington, D.C. | Tel Aviv, Israel |
| Founded | 2022 | 2022 | 2020 (acquired by Cisco 2024) | 2021 | 2018 | 2019 |
| Company Type | Private | Private | Acquired (Cisco, public: CSCO) | Private | Private | Private |
| Total Funding | ~$108M (Series B, Oct 2024) | ~$56M (Series A, 2023) | ~$44M pre-acquisition | ~$20M (Series A, 2024) | ~$68M+ (incl. U.S. gov contracts) | ~$5M (Seed) |
| Core Focus | End-to-end ML security platform & supply chain | Model-level threat detection & protection | AI validation, red teaming & firewall | LLM guardrails & prompt injection defense | AI security, governance & policy enforcement | Adversarial AI red teaming & robustness testing |
| Core Capabilities | ||||||
| Model Vulnerability Scanning(?) | ||||||
| Prompt Injection Protection(?) | ||||||
| LLM Guardrails / Content Filtering(?) | Limited | |||||
| Adversarial Testing / Red Teaming(?) | Limited | |||||
| Data Poisoning Detection(?) | ||||||
| Model Supply Chain Security(?) | Limited | |||||
| AI Firewall / Gateway(?) | ||||||
| Compliance & Governance(?) | Limited | |||||
| Products & Technology | ||||||
| Primary Product(s) | Guardian (model scanning), Radar (ML BOM/visibility), Layer (guardrails runtime) | AISec Platform (Model Scanner, MLDR, AI Detection & Response) | AI Firewall, AI Validation (continuous testing), RI Red Teaming | Lakera Guard (API-based guardrails & prompt injection defense) | Moderator (real-time AI policy enforcement & content filtering) | AI Red Teaming Platform (automated adversarial testing & audits) |
| Open Source Tools | ModelScan, NB Defense, LLM Guard (OSS portfolio) | Gandalf (prompt injection game/benchmark) | ||||
| Bug Bounty / Community(?) | huntr.com (AI/ML bug bounty platform, largest in world) | Gandalf community challenge | ||||
| AI/ML SBOM (Software Bill of Materials)(?) | ||||||
| Model Risk Scoring(?) | ||||||
| Deployment & Architecture | ||||||
| SaaS / Cloud-Hosted | ||||||
| On-Premise / Self-Hosted | ||||||
| API-Based Integration | ||||||
| Air-Gapped / FedRAMP(?) | Via Cisco | |||||
| Low-Latency Inline Mode(?) | ||||||
| Integrations & Compatibility | ||||||
| OpenAI / GPT Models | ||||||
| Anthropic / Claude | ||||||
| Google / Gemini | ||||||
| Hugging Face Models | Limited | Limited | ||||
| AWS Bedrock / SageMaker | Limited | |||||
| Azure AI / Azure ML | Limited | |||||
| Open Source Models (Llama, Mistral, etc.) | ||||||
| CI/CD Pipeline Integration(?) | Limited | |||||
| SIEM / SOC Integration(?) | Via Cisco SecureX | |||||
| Compliance Frameworks | ||||||
| OWASP Top 10 for LLMs | ||||||
| NIST AI Risk Management Framework | Limited | |||||
| EU AI Act Readiness | Limited | |||||
| MITRE ATLAS Coverage(?) | ||||||
| SOC 2 Certified | Via Cisco | Not disclosed | ||||
| Pricing & Licensing | ||||||
| Pricing Model | Enterprise subscription + open source tools | Enterprise subscription | Enterprise (via Cisco) | Freemium (free tier + usage-based + enterprise) | Enterprise subscription | Enterprise subscription + assessment engagements |
| Free / Open Source Tier | ||||||
| Usage-Based Pricing | ||||||
| Free Trial / Demo | Via Cisco sales | |||||
| Customers & Partnerships | ||||||
| Target Segments | Enterprise, financial services, government/defense | Enterprise, government, defense/intel community | Enterprise (now Cisco's AI security offering) | Startups to enterprise building LLM apps | U.S. government, defense, federal agencies | Enterprise, regulated industries, government |
| Notable Customers / Partners | AWS, Accenture, Dell; U.S. DoD contracts | U.S. DoD, Intel community; Gartner Cool Vendor 2023 | Cisco portfolio; J.P. Morgan, ADP (pre-acquisition) | Dropbox, Musixmatch; backed by Redpoint Ventures | U.S. Air Force, DoD; In-Q-Tel backed | Banking and defense sector clients; OWASP contributor |
| Government / Defense Focus | Limited | |||||
| Key Investors / Backers | Evolution Equity, Salesforce Ventures, Acrew Capital | Ten Eleven Ventures, Moore Strategic Ventures, M12 (Microsoft) | Sequoia Capital, Tiger Global (acquired by Cisco ~$500M, 2024) | Redpoint Ventures, Citi Ventures | In-Q-Tel, Paladin Capital, National Security Innovation Fund | Undisclosed seed investors |
| Differentiators | ||||||
| Key Strength | Broadest ML security platform with open source ecosystem (ModelScan, huntr) | Deep model-level threat detection without needing access to training data | Cisco network-level integration; continuous AI validation pipeline | Developer-friendly API; best-in-class prompt injection detection | Strong government/defense pedigree; policy-driven AI governance | Deep adversarial ML research expertise; comprehensive red teaming |
| Key Limitation | Newer company; enterprise features still maturing | Less focus on LLM-specific guardrails vs. model-level threats | Acquisition integration; standalone availability unclear | Focused primarily on LLM guardrails; less model scanning depth | Heavily gov-focused; smaller commercial ecosystem | Smaller team; less product maturity vs. larger competitors |