The AI Security Race Is Heating Up — And the Stakes Have Never Been Higher
As AI models move deeper into enterprise infrastructure, the attack surface grows with them. Prompt injection, adversarial inputs, poisoned training data, and vulnerable model artifacts are no longer theoretical concerns — they're active threat vectors. A new category of security vendors has emerged to address this, and choosing between them is far from simple. This article is based on AI Compare's dataset for AI Security & Safety Platforms Comparison, which evaluates six major players across 47 comparison dimensions. Let's cut through the noise.
The six platforms under the microscope are: Protect AI, HiddenLayer, Robust Intelligence (now part of Cisco), Lakera, CalypsoAI, and Adversa AI. Each approaches the problem from a different angle — and that's exactly where the interesting tradeoffs begin.
Different Philosophies, Different Strengths
The most important thing to understand about this market is that no single vendor does everything equally well. The platforms split along clear strategic lines.
Protect AI, founded in 2022 and headquartered in Seattle, has positioned itself as the broadest platform in the group. With products spanning model scanning (Guardian), ML bill of materials visibility (Radar), and runtime guardrails (Layer), it covers the widest surface area. It also owns huntr.com, described as the world's largest AI/ML bug bounty platform, and maintains a meaningful open-source portfolio including ModelScan and LLM Guard. With ~$108M in funding as of its Series B in October 2024, it has the deepest war chest of the private players.
HiddenLayer, based in Austin and also founded in 2022, goes deep on model-level threat detection. Its AISec Platform includes Model Scanner, MLDR (Machine Learning Detection & Response), and AI Detection & Response — a stack that mirrors traditional endpoint security but for ML models. It supports AI/ML SBOMs and model supply chain security, putting it squarely alongside Protect AI in the infrastructure-security camp. Its ~$56M Series A gives it solid runway, though it's still playing catch-up on breadth.
Robust Intelligence, acquired by Cisco in 2024, brings AI validation, continuous testing, and a dedicated AI Firewall to the table. The Cisco umbrella gives it a significant advantage for enterprises already in the Cisco ecosystem and provides a path to FedRAMP-adjacent deployment. Its pre-acquisition funding of ~$44M was modest, but the acquisition changes the resourcing calculus entirely.
Lakera, the Zurich-based startup, has built its entire identity around one critical problem: prompt injection defense. Its Lakera Guard product is API-based, clean, and developer-friendly. The Gandalf community challenge — a public prompt injection game — doubled as both a benchmark and a marketing masterstroke. At ~$20M raised, Lakera is the leanest of the funded players, but its focus is a genuine strength when LLM protection is the primary need. The tradeoff: it does not offer model vulnerability scanning, data poisoning detection, or adversarial red teaming at scale.
CalypsoAI, the oldest company in this group (founded 2018) and based in Washington, D.C., leans hard into governance and policy enforcement. Its Moderator product focuses on real-time AI policy controls and content filtering. With ~$68M in funding including U.S. government contracts, it has a clear lane in regulated and defense-adjacent markets. However, it does not offer model vulnerability scanning, adversarial red teaming, or data poisoning detection — capabilities that more technical security teams will likely require.
Adversa AI, the Tel Aviv-based outfit with ~$5M in seed funding, is the specialist's specialist. It offers automated adversarial testing and red teaming audits with genuine depth in robustness research. It scores high on adversarial testing, data poisoning detection, model vulnerability scanning, and compliance — but it does not offer LLM guardrails, an AI firewall, or model supply chain security. It's a tool for teams that already know what adversarial AI threats look like and need serious testing capability.
Where the Real Tradeoffs Live
Looking across the capability matrix reveals some sharp differentiation:
- Model Supply Chain Security is offered by Protect AI and HiddenLayer, with only limited support from Robust Intelligence. Lakera, CalypsoAI, and Adversa AI do not cover this area — a significant gap as model artifact attacks become more common.
- LLM Guardrails are a core offering for Protect AI, Robust Intelligence, Lakera, and CalypsoAI. HiddenLayer offers limited guardrails, and Adversa AI offers none. If your primary concern is deployed LLM safety, Lakera's singular focus here is hard to ignore.
- Air-Gapped / FedRAMP Deployment is supported by Protect AI, HiddenLayer, and CalypsoAI directly. Robust Intelligence achieves this via Cisco infrastructure. Lakera and Adversa AI do not support this deployment mode — a hard blocker for certain government or defense use cases.
- Open Source Presence is almost entirely Protect AI's territory. HiddenLayer, Robust Intelligence, CalypsoAI, and Adversa AI offer no open-source tooling. Lakera has the Gandalf challenge but no production OSS tools. For teams that want to evaluate before committing, Protect AI's OSS portfolio provides a meaningful on-ramp.
- AI/ML SBOM is only provided by Protect AI and HiddenLayer — two years into a world where software supply chain security is table stakes, this capability gap among the other four is notable.
Who Should Use What?
If you're a large enterprise building or deploying custom ML models and you need comprehensive coverage — supply chain, scanning, runtime protection, and red teaming — Protect AI and HiddenLayer are the natural starting points. Both offer broad capability sets, on-premise options, and FedRAMP support.
If your primary deployment is LLM-based applications and prompt injection is your top threat, Lakera Guard is purpose-built for exactly that scenario and integrates cleanly via API. Just understand that you'll need to pair it with another tool if you want model scanning or adversarial testing.
If you operate in a regulated industry or defense context and governance is the priority, CalypsoAI has the track record and government relationships to back it up. And if you need an adversarial AI red team in software form, Adversa AI is the most focused option in the group — though it's not a full-platform replacement.
Robust Intelligence is increasingly a Cisco infrastructure decision as much as a standalone product choice. For enterprises already in that ecosystem, it may be the path of least resistance.
Go Deeper with the Full Comparison
This article only scratches the surface of what's available. The full dataset covers 47 comparison rows across deployment architecture, product capabilities, compliance certifications, integrations, and more. If you're making a real purchasing decision, you owe it to yourself to review the complete picture at AI Compare's AI Security & Safety Platforms Comparison.
For readers who want a faster, broader view of the AI tools landscape, WeCompareAI is an excellent resource. It helps teams cut through vendor marketing by providing clear, structured comparisons of AI tools, models, and vendors across categories — saving hours of research and making it much easier to identify the right fit for specific use cases.
The AI security market is young, fragmented, and evolving fast. The platforms that win will be the ones that can prove their value as threats evolve — not just the ones with the most funding or the broadest feature list today.