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 files for tampering. Attack tests run against your AI. They watch agents at runtime. Prompt injection, unsafe tool use, side-hops. They have SOC 2 Type II. $150M raised. Defense and spy-agency clients. A threat research team that ships real work. Is your question "is something attacking my AI right now"? They answer it.
DataShield answers a different question. It's the one your auditor asks. Not "was this hostile" but "was this allowed, and can you prove the record wasn't edited after?" We tokenize data at ingest. Agents query it over MCP. Turning a token back into real data is a special, audited step. Most teams who talk to us end up running both. Here's the honest split. We include the rows HiddenLayer wins.
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 checker.
- You need to pull an agent's access mid-session. The very next checked tool call should fail. Not wait for a token to expire.
- The data itself is the risk. We tokenize data at ingest. The agent's queries never hold the raw value at all.
- You'd like a price before you book a call. Ours is published.
Pick HiddenLayer when
- You need to know if the model file itself is bad or tampered with. Model scans and an AI Bill of Materials are their turf. We don't do any of it.
- You want steady attack tests and red teams against your own AI. Run by people who publish threat work for a living.
- Your risk is prompt injection hid in fetched context or MCP replies. Their filters are built for just that. We don't compete there.
- You're securing AI coding agents: shell commands, file edits, repo access. Their Agent Harness Security product aims right at that job.
Bottom line: HiddenLayer decides if a request looks hostile. DataShield decides if an agent had leave to act, and keeps proof. Those are different jobs. Most regulated buyers owe both. Got detection already? Is your auditor the one pushing? Start here.
Feature by feature
Competitor cells describe what HiddenLayer's site, newsroom, and releases say. We use the date above. Did we get something wrong? Email support@myorg.ai. We'll fix it and credit you.
| What matters | DataShield | HiddenLayer | Edge |
|---|---|---|---|
| Audit evidence | A SHA-256 hash chain, with Ed25519-signed checkpoints. We chain those checkpoints too. Verification names the failure: tampering, insertion, deletion, or truncation. Try the checker. | Runtime sight, digging in, and threat hunts over agent activity. We found no public tamper proof for those records. | ◆ |
| Agent authorization | Each checked tool call passes a scope ceiling. Plus a set access tier. It gets a pull-check before dispatch. | "Enforceable runtime policies" on APIs and MCP tools. Code runs and file work too. Enforcement is by behavior, not by identity. No access tiers, either. | ◆ |
| Break-glass | Scoped, time-boxed urgent access, just for agents. It auto-revokes on its own. It can't be quietly removed from the log. | Not said in their public docs. | ◆ |
| GDPR erasure | Crypto-shred of per-subject key material. Plus ISO 27560 consent receipts. The audit chain still checks out after erasure. | Not a data platform. Erasure isn't their job. Nothing published. | ◆ |
| Tokenization and data handling | We tokenize data at ingest. Agents query it over MCP. Turning a token back is a special, audited step. Tokens are fixed, join-preserving, and vault-reversible. Plus generalization on quasi-identifiers. Dates become year, decade, or age band. ZIPs become 3 or 4 digits. Phones, SSNs, and emails get partial masking. Each column gets its own score. | Agent Harness Security hides sensitive info before models see it. That's pattern matching on a live feed. Not a trait of the stored data. | ◆ |
| Model supply chain | Nothing. We don't scan model files. We won't pretend to. | Model scans for bad or tampered files. Model family trees. AI Bill of Materials. Strong, with years of work behind it. | ◇ |
| Attack detection and red teaming | Out of scope by design. We clear and record. We don't judge intent. | Prompt injection, jailbreaks, memory corruption, side-hop checks. Plus steady AI Attack tests. Plus a public threat research team. | ◇ |
| MCP and agents | Native MCP endpoints on Auth, Ontology, and Lighthouse. MCP tool tokens carry scope ceilings, always. Per-call metering ties back to the agent. | A dedicated agentic and MCP security tool. Checks run at: LiteLLM proxy, SDK hooks, gateway checks. | ◈ |
| Deployment | Self-hosted, in your own cloud or data center. Or on a dedicated single-tenant server we run. Your keys. | Sold across SaaS, on-prem, air-gapped, and hybrid. Ties into cloud, CI/CD, SIEM/SOAR, and MLOps. Broad. A real edge for defense buyers. | ◇ |
| Maturity signals | Auth, Guardian and Lighthouse are all live. Guardian and Lighthouse have run since April 2026. SOC 2 isn't certified yet, 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 spy-agency work. | ◇ |
| Pricing | Published model, scoped instant quote, no sales wall. | Quote-only. No price shown. The CTA is "Book a demo." | ◆ |
| EU AI Act record-keeping | The chain is built to map to Article 12 logging. And Article 26 deployer duties. Also HIPAA §164.312(b). How it works. | We found no EU AI Act mapping on their pages. Worth asking them, straight up. | ◆ |
◆ DataShield leads◇ HiddenLayer leads◈ comparable
We drew HiddenLayer claims from hiddenlayer.com. And their own press releases. Last checked 13 September 2026. We link them below, not just a paraphrase from memory.
Three things you get here that you won't get from a detection platform
Proof, not a verdict
A filter gives you an opinion about a request. Useful, but an opinion isn't proof. Our record is a hash chain with signed checkpoints. The checker 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, we re-check the next checked tool call. Against current access, right then. It fails closed. Detection won't flag that call. Nothing about it looks hostile. How Auth does it.
Data that was never raw
Hiding data on the way past means the raw value sat in the path once. You're trusting a matcher. We tokenize at ingest. The agent's query surface never holds it. Turning a token back is a special, logged vault step. 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 in style. The depth shows. Model scans, model family trees, AI Bill of Materials. Steady attack tests. A threat research team that ships advisories. None of that exists here. None of it is on our roadmap. They have SOC 2 Type II. They raised $100M in September 2026. $150M total, behind them. DoD and spy-agency work fills their client list. They're in the CDAO Tradewinds market. They're built into the Databricks Unity AI Gateway world, too. Against that, our maturity line reads plainly. Auth is live now. Guardian and Lighthouse have run live since April 2026. SOC 2 isn't certified yet. We'd rather you hear that from us. Not find it out.
The push-back is narrow, but it doesn't go away. Their own CEO put it well. That was at the Agent Harness Security launch. Securing agents takes more than an allow-or-block call. Agreed. It also takes a record of who could do what. Gartner expects most unauthorized agent transactions through 2028 to be internal rule breaks, not attacks. Not attacks. A well-behaved agent doing something it shouldn't. That won't trip a filter. It trips an access 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, it can. Each record commits to the one right before it. We sign and chain checkpoints. Verification tells deletion apart from truncation and from tampering. Run it against a sample chain at /verify. HiddenLayer: their docs describe runtime sight. Digging in, and threat hunts. We found no tamper-proof method for those records. Ask them to show one.
What happens to a revoked agent mid-session?
DataShield re-checks access on each checked tool call. The pull lands on the next call. The context drops down, too. HiddenLayer runs its rules on tool calls and MCP swaps. We found no note of agent access tiers. Or mid-session pulls. 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. It issues an ISO 27560 consent receipt. Actor IDs in the chain carry HMAC marks. The proof stays checkable, even once the subject is gone. HiddenLayer isn't a data platform. This isn't their problem to solve. Are your erasure and retention duties 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 files. We don't run red teams. Sorting prompt injection isn't part of what we do. They don't clear tool calls against an agent's current access. They don't ship break-glass. A tamper-evident audit chain isn't part of what they publish. Choosing which to fund first? The honest test: who is your next hard talk with? An attacker, or an examiner?
We're securing AI coding agents. Who's the better fit?
Probably them, for that job. Agent Harness Security watches prompts and tool calls. Shell commands, file edits, repo work too. It's built for just that. Our fit is the checked data an agent reaches. Over MCP. And the record of whether it had leave to. Different seam.
Does DataShield have SOC 2?
Not yet. We won't imply otherwise, ever. HiddenLayer does have SOC 2 Type II. That's a point for them. What we offer instead: Auth is live now. It ships with a public threat model. Plus a checker anyone can run, no account needed. Guardian and Lighthouse have run since April 2026. Design-partner terms include source escrow. That way, 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. Total funding hit $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. Gateway checks. - hiddenlayer.com, 13 Sep 2026
- Agent Harness Security redacts sensitive information before models access it. It 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 features launched as visibility, investigation, and threat hunting. Plus 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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Model security inside a platform giant. Versus an evidence layer you can check.
AdjacentDataShield vs Lasso Security
Guardrails catch the hostile call. We record whether the ordinary one had authorization.
AdjacentDataShield vs Lakera
Prompt defense on top, agent authorization and audit underneath.
AllEvery comparison
One honest scorecard per vendor, sources at the bottom.
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