CISO Tribune

Vendor comparison · 2 companies

Dreadnode vs Salt Security

Dreadnode sells an infrastructure platform that gives security teams the means to own, operationalize, and improve agentic cyber capabilities. Salt Security provides security for the APIs, MCP servers and data infrastructure where agents execute. CISO Tribune files both under AI model and agent security. This page sets the two records side by side: what each sells, where it is based, who owns and funds it, the customers it names and its recent news, each fact numbered to its source.

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  • Dreadnode
  • Salt Security
Dreadnode vs Salt Security: Products, Customers and Funding Compared
DreadnodeDreadnode sells an infrastructure platform that gives security teams the means to own, operationalize, and improve agentic cyber capabilities.dreadnode.ioSalt SecuritySalt Security provides security for the APIs, MCP servers and data infrastructure where agents execute.salt.security
What it sells
  • AI Red Teaming[2][3][5]AI red teaming across AI systems in production, from traditional machine learning models to multi-agent systems.
  • Dreadnode Platform[3][4]Infrastructure for security teams to own, operationalize, and improve agentic cyber capabilities.
  • Agentic Security Graph[4][8]Maps and correlates the full environment out-of-band.
  • Salt Surface[5][9]Provides agentless, outside-in discovery of MCP servers and APIs.
  • Salt Connect[5][9]Provides cloud and code inventory.
Categories
Headquarters
Not stated on its pagesPalo Alto, United States[1][3]
Founded
Not stated on its pages2016[1][11]
Ownership and funding
Not stated on its pagesNot stated on its pages
Named customers
Not stated on its pagesNot stated on its pages
Recent news
Not stated on its pages
  • June 1, 2026Salt Security launched Salt Code, a component that enforces security policies on AI-generated code across the development lifecycle.[17]
G2 and Gartner Peer Insights
  • G2: Not stated on its pages
  • Gartner Peer Insights: Not stated on its pages
  • G2: listed, seen November 10, 2026[7]
  • Gartner Peer Insights: Not stated on its pages
Who it fits
Dreadnode sells to organizations that require scaled agentic workloads and custom capabilities. Dreadnode describes a cyber eval engagement for a frontier model provider. Organizations that need to run inside their own boundary can deploy Dreadnode on a Kubernetes cluster or in air-gapped environments, and on-prem deployment is available with the Enterprise plan.From its own pages, the company shows an industry solution for Finance, described as stop fraud and abuse. It lists one for Healthcare, described as HIPPAA-grade protection. Transportation is also listed, with secure logistics APIs. Retail is listed, with protect PII at scale. Software is listed, with API-first app security. Its whitepaper page also says security teams face a challenge in which the action layer goes unmonitored.
Last verified
November 6, 2026September 27, 2026

Where they overlap

  • Dreadnode and Salt Security are both filed under AI model and agent security.

Where they differ, field by field

  • Dreadnode's primary category is AI model and agent security; Salt Security's is API security.
  • Dreadnode is also filed under Breach simulation and automated pen-testing and Penetration testing and red team services.
  • Dreadnode lists AI Red Teaming and Dreadnode Platform. Salt Security lists Agentic Security Graph, Salt Surface and Salt Connect.
  • Salt Security is headquartered in Palo Alto, United States.
  • Salt Security was founded in 2016.

What it sells: Dreadnode

What AI Red Teaming does[2][3][5]
Dreadnode applies AI red teaming across the full range of AI systems in production today, from traditional machine learning models to multi-agent systems. Dreadnode Platform evaluations probe models, applications, and deployed agents with adversarial attacks across supported languages and modalities.
What Dreadnode Platform does[3][4]
The Dreadnode Platform equips defenders with ready-to-run capabilities and shared operational knowledge. Dreadnode can be deployed on an existing Kubernetes cluster or an embedded cluster on a dedicated VM, with offline installation bundles for air-gapped deployments.

What it sells: Salt Security

What Agentic Security Graph does[4][8]
Salt's Agentic Security Graph maps and correlates the full environment out-of-band. Salt describes its agentic security platform as one graph of agents, the MCP servers they use and the APIs they call, with the context behind each one.
What Salt Surface does[5][9]
Salt Surface provides agentless, outside-in discovery of MCP servers and APIs. Salt Surface discovers these from the outside, without an agent.
What Salt Connect does[5][9]
Salt Connect provides cloud and code inventory. Salt names Salt Connect together with collectors that are used where runtime analysis is needed.

Questions about Dreadnode and Salt Security

What do Dreadnode and Salt Security sell?
Dreadnode sells AI Red Teaming and Dreadnode Platform. Salt Security sells Agentic Security Graph, Salt Surface and Salt Connect.
Are Dreadnode and Salt Security in the same category?
They share AI model and agent security. Dreadnode's primary category is AI model and agent security and Salt Security's is API security.
Where are Dreadnode and Salt Security headquartered?
Salt Security is headquartered in Palo Alto, United States.
When were Dreadnode and Salt Security founded?
Salt Security was founded in 2016.
Who are Dreadnode and Salt Security sold to?
Dreadnode sells to organizations that require scaled agentic workloads and custom capabilities. From its own pages, the company shows an industry solution for Finance, described as stop fraud and abuse.
What have Dreadnode and Salt Security announced recently?
June 1, 2026: Salt Security launched Salt Code, a component that enforces security policies on AI-generated code across the development lifecycle.

About Dreadnode

Dreadnode sells an infrastructure platform that gives security teams the means to own, operationalize, and improve agentic cyber capabilities. The Dreadnode Platform equips defenders with ready-to-run capabilities, shared operational knowledge, and the ability to run agents. Dreadnode describes the path to operationalize agents as fragmented and opaque. Dreadnode's capabilities are operator-authored agents for security testing, research, and operations, connected to the tools a team already uses.[3][5]

Ready-to-run cyber capabilities on the Dreadnode Platform put agents to work on security testing, research, and operations. The Dreadnode Platform supports persistent sessions across web and terminal, with search of past work and sharing with a team. Dreadnode Platform workflows coordinate agents by sequencing tasks, running work in parallel, and branching or combining results. The Dreadnode Platform connects existing command-line tools, MCP servers, and custom integrations. Versioned capabilities on the Dreadnode Platform can be shared with their instructions, tools, and dependency setup.[4]

Dreadnode Platform agents carry saved project context into new sessions and retrieve findings from earlier work. Dreadnode Platform users can review structured findings and assets with supporting evidence and relationships. The Dreadnode Platform versions and reuses datasets across evaluations, optimization, and training. Dreadnode Platform users can post-train models with demonstrations or rewards and retain the resulting model artifacts.[4]

Dreadnode combines task evaluations, LLM judges, and AI red teaming so a team can set the criteria for greater responsibility. Dreadnode Platform evaluations benchmark agents against published security tasks and a team's own tasks and environments. Dreadnode uses LLM judges to assess correctness, scope adherence, and signs of cheating against a team's criteria. The Dreadnode Platform probes models, applications, and deployed agents with adversarial attacks across supported languages and modalities. The Dreadnode Platform compares models, prompts, and capability versions with per-sample results and judge reasoning.[3][4]

Dreadnode Platform observability follows active agent sessions with live progress, metrics, and logs. The Dreadnode Platform inspects nested model and tool calls with their arguments and results. Dreadnode Platform traces connect findings back to the execution that produced them. Dreadnode Platform users can query traces to investigate failures and compare latency, token usage, and cost. Runtime policies in the Dreadnode Platform restrict tool access and check proposed actions against scope, and they allow, block, or request approval.[4]

Dreadnode offers AI red teaming across AI systems in production today, from traditional machine learning models to multi-agent systems. Dreadnode offers web application penetration testing with 83 attack technique playbooks. Dreadnode describes an autonomous pentester with a built-in headless browser and 84 skills. Dreadnode agents run network discovery and Active Directory assessments, connected to attack-path analysis and C2 tools. Dreadnode's authored capabilities cover web, AI, network, reverse engineering, and forensics.[2][3][4]

Dreadnode can be deployed on a customer's infrastructure, with application records, execution evidence, and capability artifacts in data stores the customer controls. Dreadnode runs on an existing Kubernetes cluster or on an embedded cluster on a dedicated VM, and offline installation bundles support air-gapped deployments. Dreadnode routes inference to approved providers or to models a customer hosts itself. Dreadnode offers on-prem deployment with the Enterprise plan. Dreadnode states that all evaluation, training, Worlds, and AI red teaming data stays within a customer's organization environment. Dreadnode SaaS meters workloads against a shared organization credit balance. Dreadnode stores secret values without returning them in normal API reads and injects them only into the remote runtimes and evaluations a user selects.[3][4][5][6][7]

Dreadnode treats organizations as an ownership boundary, and workspaces as the main collaboration boundary inside an organization. In SaaS mode, creating or updating workspaces on Dreadnode requires a Pro plan or higher. Dreadnode is SOC 2, ISO 27001:2022, and ISO 27701 compliant. Dreadnode charges a one-time annual fee that varies based on deployment requirements, SLAs, and custom work. Dreadnode built an initial suite of ER-Spatial security tasks during a cyber eval engagement for a tier 1 frontier model provider.[3][4][5][8][9][10][11]

Dreadnode on the record

Sources

Dreadnode full record

  1. [1]Dreadnode v2 security agent infrastructure platformDreadnode · dreadnode.io · published March 24, 2026 · Tier A
  2. [2]dreadnode.ioDreadnode · dreadnode.io · undated page, accessed November 6, 2026 · Tier A
  3. [3]Dreadnode — AI Infrastructure for CybersecurityDreadnode · undated page, accessed November 10, 2026 · Tier A
  4. [4]The Dreadnode PlatformDreadnode · undated page, accessed November 10, 2026 · Tier A
  5. [5]Pricing | DreadnodeDreadnode · undated page, accessed November 10, 2026 · Tier A
  6. [6]Credits | DreadnodeDreadnode · undated page, accessed November 10, 2026 · Tier A
  7. [7]Secrets | DreadnodeDreadnode · undated page, accessed November 10, 2026 · Tier A
  8. [8]Organizations | DreadnodeDreadnode · undated page, accessed November 10, 2026 · Tier A
  9. [9]Workspaces | DreadnodeDreadnode · undated page, accessed November 10, 2026 · Tier A
  10. [10]Projects | DreadnodeDreadnode · undated page, accessed November 10, 2026 · Tier A
  11. [11]Beyond the Terminal: Offensive Security Evals for Embodied Reasoning | DreadnodeDreadnode · undated page, accessed November 10, 2026 · Tier A

Salt Security full record

  1. [1]Salt security raises 140 million series d round led by capitalg at 1 4 billion valuationSalt Security · salt.security · undated page, accessed September 27, 2026 · Tier A
  2. [2]Salt security extends its agentic security platform with native ai detection and responseSalt Security · salt.security · published September 22, 2026 · Tier A
  3. [3]Contact usSalt Security · salt.security · undated page, accessed September 27, 2026 · Tier A
  4. [4]The Agentic Security Graph: A New Framework for the AI EraSalt Security · undated page, accessed October 28, 2026 · Tier A
  5. [5]Salt Security: Agentic AI Security, MCP Discovery, and API SecuritySalt Security · undated page, accessed October 28, 2026 · Tier A
  6. [6]EU AI Act Compliance 2026: What High-risk AI Systems Must Do Now | Salt SecuritySalt Security · undated page, accessed October 28, 2026 · Tier A
  7. [7]Salt Security Reviews & Product Details - G2G2 · undated page, accessed October 28, 2026 · Tier C
  8. [8]Onyx Security vs Salt Security | Secure the Agentic Action LayerSalt Security · undated page, accessed November 10, 2026 · Tier A
  9. [9]Securing APIs - API Attack Surface Management SolutionSalt Security · undated page, accessed November 10, 2026 · Tier A
  10. [10]Salt Security Master Services AgreementSalt Security · published May 20, 2026 · Tier A
  11. [11]API Security Company - About Us Salt Security API SecuritySalt Security · undated page, accessed November 10, 2026 · Tier A
  12. [12]Agentic Security Platform - Complete AI & API Protection PlatformSalt Security · undated page, accessed November 10, 2026 · Tier A
  13. [13]API Security Software - API Security Management SoftwareSalt Security · undated page, accessed November 10, 2026 · Tier A
  14. [14]Proactive API Security - “Shift Left" API DevelopmentSalt Security · undated page, accessed November 10, 2026 · Tier A
  15. [15]API Security Customers - Salt Security CustomersSalt Security · undated page, accessed November 10, 2026 · Tier A
  16. [16]API Security Trends - API Attacks, Breaches & Threats ReportSalt Security · undated page, accessed November 10, 2026 · Tier A
  17. [17]Salt Security launches Salt CodeSalt Security · published June 1, 2026 · Tier A

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