LayerX
Overview
Product details compiled from public sources, each with a citation.
- Vendor
- LayerX Security1
- Description
- Browser-extension control of employee AI use that discovers shadow AI tools, applies DLP to prompts and file transfers, and enforces identity-based access policies.1
- Deployment
- SaaS1
- Status
- Acquired5
- Acquisition
- Acquired by Akamai, announced 2026-05-14. It has been folded into the acquirer as Akamai Workforce Protector.4
Matrix Coverage
Where this product defends, by asset class and NIST CSF function. The Coverage column shows whether each asset is Primary, Secondary, or Adjacent to what the product does. The table omits empty rows and columns.
| Asset class | Identify | Protect | Detect | Coverage | Source |
|---|---|---|---|---|---|
| AI Orchestration Tools | Detect: Not covered | Secondary | 3 | ||
| Runtime AI Data | Identify: Not covered | Primary | 2 |
Framework Relevance
These frameworks include controls relevant to the asset classes LayerX defends. This is an editorial inference from the AI Defense Matrix asset-level crossmap, not a statement that LayerX Security implements these controls or is certified against them.
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| Framework | Asset class | Relevant controls |
|---|---|---|
| NIST IR 8596 | AI Orchestration Tools | Agents as deployed artifacts (orchestration view; see AI Agent Identities row for the principal view); system prompts and templates |
| Runtime AI Data | Prompts (runtime); inference data | |
| CSA AI Controls Matrix | AI Orchestration Tools | Application and Interface Security; Supply Chain Management |
| Runtime AI Data | Data Security and Privacy Lifecycle Management; Application and Interface Security | |
| ISO 42001 | AI Orchestration Tools | A.6 AI system life cycle; A.5 Assessing impacts of AI systems |
| Runtime AI Data | A.7 Data for AI systems; A.8 Information for interested parties | |
| Google SAIF | AI Orchestration Tools | Secure the AI supply chain; application and pipeline security; agent orchestration controls |
| Runtime AI Data | Expand AI red-teaming; runtime input and output safety; prompt defense | |
| SANS Critical AI Security Guidelines | AI Orchestration Tools | Secure Agentic Systems and AI Autonomy Controls (defined function scope; execution isolation; API and function-call gating); Limit Model Behavior (focused functionality; access controls outside the model) |
| Runtime AI Data | Model I/O Handling (sanitize, validate, and filter inputs and outputs; segregate user and system prompts; multilayered prompt-injection defense); Conventional Security Controls (protect augmentation and RAG data with vector-store access controls and validation); Data Minimization and Obfuscation (limit sensitive prompt content; context-window management); Limit Model Behavior (AI guardrails) | |
| MITRE ATLAS | AI Orchestration Tools | AML.T0051 LLM Prompt Injection; AML.T0054 LLM Jailbreak; AML.T0016 Obtain Capabilities (malicious plugins) |
| Runtime AI Data | AML.T0051 LLM Prompt Injection; AML.T0054 LLM Jailbreak; AML.T0056 Extract LLM System Prompt | |
| OWASP AI Exchange | AI Orchestration Tools | Development-time threats: agent framework supply chain; runtime threats: plugin abuse, prompt injection via tools |
| Runtime AI Data | Input threats: prompt injection, adversarial inputs, evasion; runtime threats: RAG poisoning, memory tampering | |
| OWASP LLM Top 10 | AI Orchestration Tools | LLM01 Prompt Injection; LLM05 Improper Output Handling; LLM07 System Prompt Leakage; LLM10 Unbounded Consumption |
| Runtime AI Data | LLM01 Prompt Injection; LLM02 Sensitive Information Disclosure; LLM08 Vector and Embedding Weaknesses; LLM05 Improper Output Handling | |
| OWASP Agentic Security Top 10 | AI Orchestration Tools | ASI01 Agent Goal Hijack; ASI02 Tool Misuse and Exploitation; ASI05 Unexpected Code Execution (RCE); ASI07 Insecure Inter-Agent Communication; ASI08 Cascading Failures; ASI10 Rogue Agents |
| Runtime AI Data | ASI06 Memory & Context Poisoning; ASI01 Agent Goal Hijack (via prompt injection in runtime inputs) |
Provenance
Last sourced 2026-07-03.
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Sources
- LayerX homepage
- LayerX AI DLP use case
- “Apply data classification and labelling to detect sensitive files, and automatically block unauthorized sharing.”
- LayerX shadow AI discovery use case
- “This provides security teams with complete visibility into all data being shared with AI tools, without missing anything.”
- Akamai Workforce Protector product page
- “Akamai Workforce Protector (Formerly LayerX)”
- Akamai completes LayerX acquisition
Changelog
-
Recorded completion of the Akamai acquisition, which closed on 2026-07-02.
-
Recorded the post-acquisition product name (Akamai Workforce Protector).
-
Added to the catalog from the LayerX use-case documentation; Akamai announced a definitive agreement to acquire LayerX on 2026-05-14, with the close expected in the third quarter of 2026.
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