CISO Tribune

Vendor comparison · 2 companies

Dreadnode vs DTEX Systems

Dreadnode sells an infrastructure platform that gives security teams the means to own, operationalize, and improve agentic cyber capabilities. DTEX Systems sells the DTEX Platform, which integrates Insider Risk Management, Data Loss Prevention, User and Entity Behavior Analytics, User Activity Monitoring, and AI security into one solution. 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
  • DTEX Systems
Dreadnode vs DTEX Systems: 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.ioDTEX SystemsDTEX Systems sells the DTEX Platform, which integrates Insider Risk Management, Data Loss Prevention, User and Entity Behavior Analytics, User Activity Monitoring, and AI security into one solution.dtex.ai
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.
  • Insider Risk Management[2][5][7][9]Combines behavioral context and user activity monitoring to focus on human risk.
  • i³ Investigative Services[2]Provides investigation capabilities for security incidents and insider threats.
  • AI Risk Assistant[7]Turns behavioral, data, and AI signals into insights.
  • DTEX AI Security[11]Gives organizations visibility and control over AI tools.
Categories
Headquarters
Not stated on its pagesSan Jose, United States[4]
Founded
Not stated on its pagesNot stated on its pages
Ownership and funding
Not stated on its pagesPrivately held[3][5][7]
Named customers
Not stated on its pagesNot stated on its pages
Recent news
Not stated on its pages
  • August 4, 2026DTEX announced Deep Researcher, an AI security agent that identifies human and AI risk before it escalates to a security alert.[13]
  • June 9, 2026DTEX Systems introduced an expanded AI Risk Management product covering how employees and autonomous AI agents use generative AI tools across the enterprise.[14]
G2 and Gartner Peer Insights
  • G2: Not stated on its pages
  • Gartner Peer Insights: Not stated on its pages
  • G2: Not stated on its pages
  • 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, DTEX sells mainly to large enterprise security teams, including insider risk management and SOC teams working in globally distributed environments. DTEX says it is deployed in the largest banks in the world and helps financial institutions discern legitimate use from malicious intent. DTEX describes use in regulated industries that need activity context for audits, regulatory reporting, and investigations. DTEX says organizations and governments worldwide rely on its platform.
Last verified
November 6, 2026September 27, 2026

Where they overlap

  • Dreadnode and DTEX Systems 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; DTEX Systems's is Insider risk management.
  • Dreadnode is also filed under Breach simulation and automated pen-testing and Penetration testing and red team services. DTEX Systems is also filed under Data loss prevention.
  • Dreadnode lists AI Red Teaming and Dreadnode Platform. DTEX Systems lists Insider Risk Management, i³ Investigative Services, AI Risk Assistant and DTEX AI Security.
  • DTEX Systems is headquartered in San Jose, United States.
  • DTEX Systems is privately held.

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: DTEX Systems

What Insider Risk Management does[2][5][7][9]
Insider Risk Management combines behavioral context, user activity monitoring, and deep visibility into how people interact with data and AI. The DTEX Platform differentiates between malicious, careless, and compromised behavior so appropriate action is taken.
What i³ Investigative Services does[2]
i³ Investigative Services provides investigation capabilities to help organizations identify, analyze, and respond to security incidents and insider threats. DTEX i³ combines insider threat intelligence, insider risk services, and expert threat hunting.
What AI Risk Assistant does[7]
AI Risk Assistant turns complex behavioral, data, and AI signals into digestible, context-rich insights. AI Risk Assistant is described as guiding well-informed investigations.
What DTEX AI Security does[11]
DTEX AI Security gives organizations visibility and control over AI tools across the enterprise. DTEX tracks usage of all GenAI tools, showing which tools are in use, who is using them, and how.

Questions about Dreadnode and DTEX Systems

What do Dreadnode and DTEX Systems sell?
Dreadnode sells AI Red Teaming and Dreadnode Platform. DTEX Systems sells Insider Risk Management, i³ Investigative Services, AI Risk Assistant and DTEX AI Security.
Are Dreadnode and DTEX Systems in the same category?
They share AI model and agent security. Dreadnode's primary category is AI model and agent security and DTEX Systems's is Insider risk management.
Where are Dreadnode and DTEX Systems headquartered?
DTEX Systems is headquartered in San Jose, United States.
Who owns Dreadnode and DTEX Systems?
DTEX Systems is privately held.
Who are Dreadnode and DTEX Systems sold to?
Dreadnode sells to organizations that require scaled agentic workloads and custom capabilities. From its own pages, DTEX sells mainly to large enterprise security teams, including insider risk management and SOC teams working in globally distributed environments.
What have Dreadnode and DTEX Systems announced recently?
August 4, 2026: DTEX announced Deep Researcher, an AI security agent that identifies human and AI risk before it escalates to a security alert.

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

DTEX Systems full record

  1. [1]Leading U.S. Telecommunications Company Chooses DTEX Systems to Mitigate Insider Risk IT Sabotage and Credential MisuseDTEX Systems via Business Wire · businesswire.com · published June 2, 2023 · Tier A
  2. [2]DTEX Platform - DTEXDTEX Systems · published September 23, 2026 · Tier A
  3. [3]Alphabets capitalg backs dtex systems 50m strengthen insider threat protectionSiliconANGLE · siliconangle.com · published March 5, 2024 · Tier B
  4. [4]Insider threat cybersecurity pioneer dtex raises 17 5 million funding to fuel market expansionDTEX Systems via GlobeNewswire · globenewswire.com · published May 7, 2020 · Tier A
  5. [5]Trust Center - DTEXDTEX Systems · undated page, accessed October 24, 2026 · Tier A
  6. [6]Insider Risk Management for Financial Services - DTEXDTEX Systems · undated page, accessed October 24, 2026 · Tier A
  7. [7]DTEX | The Risk-Adaptive Security Platform for the Human and AI EnterpriseDTEX Systems · undated page, accessed October 24, 2026 · Tier A
  8. [8]DTEX Insider Threat Intelligence - DTEXDTEX Systems · undated page, accessed October 24, 2026 · Tier A
  9. [9]Why DTEX - DTEXDTEX Systems · undated page, accessed October 24, 2026 · Tier A
  10. [10]About DTEX - DTEXDTEX Systems · undated page, accessed November 5, 2026 · Tier A
  11. [11]AI Security: Ensuring Safe AI Tool UsageDTEX Systems · undated page, accessed November 5, 2026 · Tier A
  12. [12]DTEX Platform Integrations - DTEXDTEX Systems · undated page, accessed November 5, 2026 · Tier A
  13. [13]DTEX Launches Deep Researcher, a New Agent to Expose Unknown RiskDTEX · published August 4, 2026 · Tier A
  14. [14]DTEX adds AI Risk Management to track how agents and employees use AISiliconANGLE · published June 9, 2026 · Tier B

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