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Risk & ComplianceEstablished · 6 yrs on market

DTEX

Risk-adaptive insider risk platform unifying human, data, and AI risk in one behavioral intelligence engine.

By DTEX Systems · 4.5/5 Value-Position score (estimate)

Positioning guardrails

Best for

  • Enterprises consolidating legacy DLP, UAM and UEBA tools into a single insider risk platform
  • Security teams that need behavioral visibility into insider threats, leavers and data exfiltration
  • Organizations that must monitor shadow AI usage and autonomous AI agent activity
  • Regulated industries needing defensible activity evidence for audits, legal and the board
  • Globally distributed security operations that want SIEM-first workflows and lightweight endpoints

Ideal size: Enterprise (1,000+ employees) people · Mature security program with a SOC, insider risk or DLP function

Not for

  • Small businesses without a dedicated security, insider risk or SOC function
  • Buyers who want transparent self-serve pricing and instant signup
  • Teams looking only for signature-based blocking or perimeter security
  • Companies with no mandate or appetite for employee activity monitoring

Value metrics scorecard

Time-to-Value

About 2 weeks

~14 days to first production value

Total Cost of Ownership

On request

Enterprise subscription licensed under a Master Software License and Support Subscription Agreement; pricing is quoted per deployment and not published.

Implementation Friction

2/5

Engineering + admin effort required

Value-Position score

4.5

out of 5 · model estimate

Full cost breakdown

Mandatory implementation fee

None

Seat tiers

Not published; all licensing is handled through the vendor's Master Software License and Support Subscription Agreement.

Add-on costs

  • Historical Investigations module, which extends accessible data retention to 365 days
  • Focused Observation module for concurrent endpoint screen recording
  • Additional AWS storage and capacity beyond the standard DTEX AWS Specifications
  • DTEX i3 investigation and intelligence services

Company & support

Who is behind DTEX, and how your team gets help once it is live.

Company

Founded
Not recorded
Headquarters
Not recorded

How you get support

  • PhoneNot listed
  • EmailPaid plans
  • Live chatNot listed
  • Support portal / ticketsPaid plans
  • Community forumNot listed
  • Help centre / docsPaid plans
  • Dedicated account managerNot listed
  • In person / on-siteNot listed
Hours
Business hours
Response time
Severity 1 targeted response within 2 hours during Normal Business Hours; Severity 1 resolution within 5 business days.

Support is provided in English during Normal Business Days, 8:00am-6:00pm local to the customer's region (Americas ET/PT, EMEA GMT/BST, APAC AEST/AEDT). Requests are raised via the support portal or support email; training, setup assistance and custom integration work are excluded from standard…

“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.

Market position

Where DTEX sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.

Quadrant view

Typical annual cost × Time-to-value

$0/yr$1/yr1d2d6d31d150dAnnual TCO ← betterDays to value better →Quick & CheapQuick & PriceySlow & CheapSlow & PriceyDTEXZscalerNAKIVO Backup & ReplicationRecoCyeraCohesity

The lines cross at the median of the solutions shown, so about half sit on each side of each line.

DTEX is outlined. Click any dot to open its dossier.

Companies on the chart 6 / 10

  • DTEX
  • Zscaler
  • NAKIVO Backup & Replication
  • Reco
  • Cyera
  • Cohesity
Add or change companies

Up to 10 companies including DTEX. Listed closest first.

Stack fit signal

Compatibility with standard B2B ecosystems.

MCPNot supported

No supported MCP path today, so it cannot be driven from an AI client.

SalesforceNot supported
AWSIntegration
SnowflakeNot supported
HubSpotNot supported
Google WorkspaceIntegration
Microsoft 365Integration
SAPNot supported
SlackNot supported

AI & MCP readiness

What DTEX ships in AI, and what it asks of your ecosystem.

AI features shipped

AI added to an existing product
Anomaly detectionAI governance tooling

DTEX AI Risk Management covers AI agent oversight: discovery of agents and copilots, prompt and action lineage, behavioral AI risk scoring, shadow AI detection and human-in-the-loop intervention. Sources describe AI/ML behavioural analytics but name no foundation-model provider and say nothing about how AI is licensed, billed or trained.

Your data & models

Trains on your data
Not recorded — ask the vendor
Runs on
Not recorded
AI pricing
Not recorded

In your ecosystem

AI connection
Not supported
Model key
Not recorded
AI usage audit
Not recorded

Compliance attestations

SOC 2 — not listedISO 27001 — not listedGDPR — not listedHIPAA — not listedFedRAMP — not listedISO 42001 — not listedIAPP AIGP* — not listed

* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.

Bottom line

DTEX Systems sells a risk-adaptive insider risk platform that unifies human, data and AI risk: behavioural intelligence, risk-adaptive DLP, user activity monitoring and UEBA in one lightweight, agent-based platform. Buyers cite fast onboarding, consolidation of legacy DLP/UAM/UEBA tools and defensible investigation evidence; a Forrester commissioned TEI study claims $3.29M in stack savings and 75% faster investigations. Pricing is quoted per enterprise deployment with no public list price.

Frequently asked questions

What does DTEX actually do?

DTEX unifies human, data and AI risk in one platform. It monitors endpoint and user activity, applies behavioural intelligence and AI/ML to surface insider risk, data exfiltration and shadow AI usage, and gives security teams the context to investigate and intervene. It is positioned as a consolidation layer for legacy DLP, user activity monitoring and UEBA tooling, with SIEM, EDR, cloud security and data classification integrations.

How long does implementation take?

Customer evidence on DTEX's own site points to fast time to value. One healthcare and biotech IT director says the team immediately benefited from the project within two weeks of initial deployment, with quick onboarding and easy agent rollout. DTEX also publishes a case study of a healthcare organisation that uncovered data exfiltration risk in less than three weeks, and customers describe easy POV setup and smooth migration from on-prem to cloud.

How is DTEX priced?

DTEX does not publish list pricing. Customers license the software and support under a Master Software License and Support Subscription Agreement, with commercial terms agreed per deployment. Optional modules such as Historical Investigations and Focused Observation, extra AWS storage beyond the standard specification, and DTEX i3 investigation or intelligence services are handled separately, so buyers should expect a negotiated enterprise contract.

How does DTEX address AI agent and shadow AI risk?

DTEX AI Risk Management discovers AI agents, copilots and unsanctioned workflows across the enterprise, captures prompt and action lineage, attributes each action to a human or autonomous actor, scores risky agent behaviour and supports human-in-the-loop intervention. The vendor also highlights shadow AI and prompt leakage use cases, where it uncovers GenAI usage, captures prompts and uploads, and applies guardrails without blocking legitimate workflows.

What support is included?

Support is delivered in English on Normal Business Days from 8:00am to 6:00pm in the customer's regional time zone, with Severity 1 issues targeted for response within two hours and resolution within five business days. Requests are raised through the support portal or by support email, and documentation, software downloads and training are available in the customer portal. Training, setup assistance and custom integration work are excluded and may be chargeable.

Does DTEX protect employee privacy?

DTEX describes a privacy-first approach to insider risk management, using pseudonymisation to tokenise personally identifiable information while still building audit trails that stand up to compliance, legal and board scrutiny. Buyers should confirm the specific configuration for their jurisdiction during proof of value; the vendor pages do not state how customer data is used to train or improve AI models.

DTEX Review: TTV, TCO & Best Fit (About 2 weeks to value) | Value-Position