Head-to-head · updated 13 September 2026
DataShield vs HiddenLayer: detecting an attack, or proving the agent was allowed?
HiddenLayer is good at its job. They scan model artifacts for tampering, run attack simulations against your AI, and watch agents at runtime for prompt injection, unsafe tool use and lateral movement. They have SOC 2 Type II, $150M raised, defense and intelligence customers, and a threat research team that publishes real work. If your question is "is something attacking my AI right now," they answer it.
DataShield answers a different question, and it's the one your auditor asks. Not "was this hostile" but "was this allowed, and can you prove the record wasn't edited afterward." Datasets are tokenized at ingest; agents query tokenized data over MCP; detokenization is a privileged, audited operation. Most teams who talk to us end up running both. Here's the honest split, rows HiddenLayer wins included.
The short version
Pick DataShield when
- An examiner, an auditor, or the EU AI Act's Article 12 will ask you to prove an agent's access record wasn't edited. A detection log is still just a log. Ours is a hash chain with signed checkpoints. Run the verifier.
- You need to pull an agent's authority mid-session and have the very next governed tool call fail, not wait for a token to expire.
- The data itself is the exposure. Datasets are tokenized at ingest, so the agent's queries never contained the raw value in the first place.
- You'd like a price before you book a call. Ours is published.
Pick HiddenLayer when
- You need to know whether the model artifact itself is malicious or tampered with. Model scanning and AI Bill of Materials are their home turf and we don't do any of it.
- You want continuous attack simulation and red teaming against your own AI, run by people who publish threat research for a living.
- Your exposure is prompt injection hidden in retrieved context or MCP responses. Their detection classifiers are built for exactly that, and we don't compete there.
- You're securing AI coding agents across shell commands, file edits and repo access. Their Agent Harness Security product is aimed squarely at that workload.
Bottom line: HiddenLayer decides whether a request looks hostile. DataShield decides whether an agent was permitted, and keeps proof. Those are different obligations, and most regulated buyers owe both. If you already have detection and your auditor is the one applying pressure, start here.
Feature by feature
Competitor cells describe what HiddenLayer's public site, newsroom and press releases say as of the date above. If we've mischaracterised something, email support@myorg.ai and we'll correct it, credited.
| What matters | DataShield | HiddenLayer | Edge |
|---|---|---|---|
| Audit evidence | SHA-256 hash chain with Ed25519-signed checkpoints that are themselves chained. Verification names the failure: tampering, insertion, deletion, or truncation. Public verifier. | Runtime visibility, investigation and threat hunting over agent activity. We found no published cryptographic tamper evidence for those records. | ◆ |
| Agent authorization | Every governed tool call passes a scope ceiling, a declared authority tier, and a revocation re-check before dispatch. | "Enforceable runtime policies" on APIs, MCP tools, code execution and filesystem operations. Enforcement is behavioural, not identity-scoped. No authority tiers described. | ◆ |
| Break-glass | Scoped, time-boxed emergency access for agents that auto-revokes and can't be quietly removed from the log. | Not described in their public material. | ◆ |
| GDPR erasure | Crypto-shred of per-subject key material plus ISO 27560 consent receipts. The audit chain still verifies after erasure. | Not a data platform, so erasure isn't in scope for them. Nothing published. | ◆ |
| Tokenization and data handling | Datasets are tokenized at ingest; agents query tokenized data over MCP; detokenization is a privileged, audited operation. Tokens are deterministic, join-preserving and vault-reversible, with quasi-identifier generalization (dates to year, decade or age band; ZIPs to 3 or 4 digits; partial phones, SSNs and emails) with a measured cardinality-reduction score per column. | Agent Harness Security redacts sensitive information before models access it. That's pattern matching on a live stream, not a property of the stored dataset. | ◆ |
| Model supply chain | Nothing. We don't scan model artifacts and won't pretend to. | Model scanning for malicious or tampered artifacts, model genealogy, AI Bill of Materials. Strong, and years of work behind it. | ◇ |
| Attack detection and red teaming | Out of scope by design. We authorize and record; we don't classify intent. | Prompt injection, jailbreaks, memory corruption and lateral movement detection, plus continuous AI Attack Simulation and a published threat research practice. | ◇ |
| MCP and agents | Native MCP endpoints on Auth, Ontology and Lighthouse. MCP tool tokens with scope ceilings, per-call metering attributed to the agent. | Dedicated agentic and MCP security solution. Enforcement points include LiteLLM proxy interception, SDK instrumentation and gateway inspection. | ◈ |
| Deployment | Self-hosted in your own cloud or data center, or on a dedicated single-tenant server we operate. Your keys. | Marketed across SaaS, on-prem, air-gapped and hybrid, with connectors into cloud, CI/CD, SIEM/SOAR and MLOps. Broad, and a real advantage for defense buyers. | ◇ |
| Maturity signals | Auth, Guardian and Lighthouse are live in production (Guardian and Lighthouse since April 2026). SOC 2 not yet certified, and we say so. | Founded 2022. $100M Series B in September 2026, $150M total. SOC 2 Type II. 50+ new platform customers, 39 granted patents, DoD and intelligence work. | ◇ |
| Pricing | Published model, scoped instant quote, no sales wall. | Quote-only. No price points published; the CTA is "Book a demo." | ◆ |
| EU AI Act record-keeping | The chain is designed to map to Article 12 logging and Article 26 deployer duties, and to HIPAA §164.312(b). How it works. | We found no EU AI Act mapping anywhere on their public pages. Worth asking them directly. | ◆ |
◆ DataShield leads◇ HiddenLayer leads◈ comparable
HiddenLayer claims are drawn from hiddenlayer.com and HiddenLayer's own press releases, last checked 13 September 2026. We link them below rather than paraphrase from memory.
Three things you get here that you won't get from a detection platform
Proof, not a verdict
A classifier gives you an opinion about a request. Useful, but an opinion isn't evidence. Our record is a hash chain with signed checkpoints, and the verifier tells you what went wrong, not just that something did. Try it in your browser, no signup.
Authority that changes mid-flight
An analyst resigns on a Tuesday. Their agent is halfway through a 40-minute job. With DataShield the next governed tool call is re-checked against current authority and fails closed. Detection won't flag that call, because nothing about it looks hostile. How Auth does it.
Data that was never raw
Redacting on the way past means the raw value was in the path and you're trusting a matcher. We tokenize at ingest, so the agent's query surface never held it. Detokenization is a privileged, logged vault operation. See the architecture.
Where HiddenLayer is genuinely stronger
Almost everywhere we don't play. They've been at adversarial ML since 2022, well before it was fashionable, and the depth shows. Model scanning, model genealogy, AI Bill of Materials, continuous attack simulation, a threat research team that ships advisories: none of that exists here and none of it is on our roadmap. They have SOC 2 Type II. They raised $100M in September 2026 and have $150M total behind them. They do DoD and intelligence work, they're in the CDAO Tradewinds marketplace, and they're embedded in the Databricks Unity AI Gateway ecosystem. Against that, our maturity line reads: Auth live in production, Guardian and Lighthouse in production since April 2026, SOC 2 not yet certified. We'd rather you hear that from us than find it out.
The push-back is narrow but it doesn't go away. Their own CEO put it well when they launched Agent Harness Security: securing agents takes more than deciding whether to allow or block an action. Agreed. It also takes a record of who was allowed to do what, and Gartner expects most unauthorized agent transactions through 2028 to be internal policy violations rather than attacks. A well-behaved agent doing something it simply shouldn't have been permitted to do doesn't trip a classifier. It trips an authorization check, or nothing at all.
Questions worth asking both of us
These are the questions we'd want answered if we were buying. Ask them on every vendor call, including ours.
Can you cryptographically prove an audit log entry wasn't deleted?
DataShield: yes. Each record commits to the one before it, checkpoints are signed and chained, and verification tells deletion apart from truncation and from tampering. Run it against a sample chain at /verify. HiddenLayer: their material describes runtime visibility, investigation and threat hunting, but we found no tamper-evidence mechanism for those records. Ask them to show one.
What happens to a revoked agent mid-session?
DataShield re-checks authority on every governed tool call, so revocation lands on the next call and the context is downgraded. HiddenLayer enforces runtime policy on tool calls and MCP interactions, but we found no description of agent authority tiers or mid-session revocation. Ask how long a revoked agent keeps working after you pull its access.
How does GDPR erasure interact with the audit trail?
DataShield crypto-shreds per-subject key material and issues an ISO 27560 consent receipt. Actor identities in the chain are HMAC-committed, so the evidence stays verifiable after the subject is gone. HiddenLayer isn't a data platform, so this isn't their problem to solve. If your erasure obligation and your retention obligation are fighting each other, that's a DataShield question.
Is DataShield an alternative to HiddenLayer, or something you run alongside?
Alongside, in most cases. We don't scan model artifacts, we don't run red teams, and we don't classify prompt injection. They don't authorize tool calls against an agent's current authority, don't ship break-glass, and don't publish a tamper-evident audit chain. If you're choosing which to fund first, the honest test is whether your next hard conversation is with an attacker or with an examiner.
We're securing AI coding agents. Who's the better fit?
Probably them, for that workload. Agent Harness Security watches prompts, tool calls, shell commands, file edits and repo interactions, and it's built for exactly that. Our fit is the governed data an agent reaches over MCP, and the record of whether it was allowed to. Different seam.
Does DataShield have SOC 2?
Not yet, and we won't imply otherwise. HiddenLayer does have SOC 2 Type II, and that's a point for them. What we offer instead: Auth is live a public threat model and a verifier anyone can run without an account, Guardian and Lighthouse have been in production since April 2026, and design-partner terms include source escrow so a small vendor isn't a single point of failure. Details on the security page.
- HiddenLayer raised a $100M Series B led by Delta-v Capital, bringing total funding to $150M, with 39 granted patents and 50+ new platform customers. — HiddenLayer newsroom, 02 Sep 2026
- Agentic solution positioning: "Gain visibility and control over how agents act at runtime across workflows and MCP interactions," enforced via LiteLLM proxy, SDK instrumentation and gateway inspection. — hiddenlayer.com, 13 Sep 2026
- Agent Harness Security redacts sensitive information before models access it and blocks unsafe actions in coding agent workflows. — HiddenLayer newsroom, 03 Aug 2026
- HiddenLayer states SOC 2 Type II for the company and its Machine Learning Detection & Response System; no ISO 27001 or FedRAMP listed. — hiddenlayer.com/security, 13 Sep 2026
- Agentic Runtime Security capabilities launched as visibility, investigation and threat hunting, and detection and enforcement. — HiddenLayer newsroom, 23 Mar 2026
- ≥80% of unauthorized agent transactions through 2028 will be internal policy violations rather than attacks. — Gartner, 2026
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AdjacentDataShield vs Lakera
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AllEvery comparison
One honest scorecard per vendor, sources at the bottom.
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