Huntress
Huntress Labs Incorporated · EFROS US AI Vendor Governance Index entry
Composite governance score
C = mixed posture. Acceptable for non-regulated use; requires meaningful additional controls in regulated workloads.
About this vendor
Endpoint and M365 identity threat detection with AI-augmented threat hunting, sized for SMB-to-mid-market organizations without enterprise MDR budget. Decision-support AI rather than autonomous response.
- Enterprise tier
- Managed EDR, Managed Identity Threat Detection and Response (ITDR), SAT (Security Awareness Training), AI-augmented threat hunting
- Vendor homepage
- https://www.huntress.com
- Trust center
- https://www.huntress.com/trust
Twelve-axis governance scoring
Each axis is scored Yes / Partial / No / N/A against public evidence — vendor trust portals, BAAs/DPAs, SOC 2 report cover pages, published methodology documents. N/A applies when the axis is structurally inapplicable (foundation models, for example, defer Section 1557 to the downstream healthcare deployer).
| Axis | Status | EFROS note | Source |
|---|---|---|---|
| BAA / DPA available | Yes | Huntress signs BAAs for healthcare customers where PHI overlaps with telemetry scope. | Huntress Trust |
| Training-data opt-out | Yes | Customer telemetry not used for cross-customer model training; tenant data is scoped to the customer's environment. | Huntress Trust |
| US data residency option | Yes | US data residency standard. | Huntress Trust |
| SOC 2 Type II report | Yes | SOC 2 Type II report available via Trust portal; reports gated under NDA. | Huntress Trust |
| ISO/IEC 42001 attestation | No | No ISO/IEC 42001 attestation. | Public posture review |
| NIST AI RMF self-attestation | Partial | AI-augmented threat hunting features documented; no formal NIST AI RMF self-attestation document. | Huntress product documentation |
| Colorado AI Act readiness | No | No Colorado AI Act readiness statement. | Public posture review |
| HHS-OCR Section 1557 readiness | N/A | MSSP — Section 1557 obligation sits with the healthcare customer. | Huntress positioning |
| FRB SR 11-7 readiness | N/A | MSSP — SR 11-7 obligation sits with the financial institution customer. | Huntress positioning |
| ABA Formal Op 512 readiness | N/A | MSSP — ABA Formal Opinion 512 obligation sits with the law firm customer. | Huntress positioning |
| Subprocessor list public | Yes | Subprocessor list public via Trust portal. | Huntress Trust |
Trust-center maturity
Trust portal includes SOC 2, subprocessor list, security documentation. AI governance documentation lighter than platform compliance posture.
Source: Huntress Trust
Deep dive
Overview
Huntress is best-in-class for endpoint and M365 identity threat detection at the SMB-to-mid-market scale. The AI features function as decision-support for human threat hunters rather than autonomous response. Distribution is partner-led (MSP channel + direct), and pricing is calibrated below enterprise MDR.
Strengths
- Strong endpoint and M365 identity coverage for the price point
- SOC 2 Type II, US residency, BAA available
- Subprocessor transparency via Trust portal
- Decision-support AI keeps human-in-the-loop accountability clear
Weaknesses
- No ISO/IEC 42001 attestation
- No Colorado AI Act readiness statement
- Coverage scope intentionally narrower than full-XDR MDR (no native network or OT)
- AI-specific governance documentation thinner than platform compliance
Best-fit use case
Organizations with limited internal security capacity wanting strong endpoint and M365 identity threat detection without paying enterprise MDR pricing. Particularly strong fit for MSP-distributed delivery to SMB end customers.
Avoid when
Enterprises needing full-spectrum XDR with native network, OT, or cloud workload protection — Huntress's coverage is intentionally focused rather than comprehensive.
Operator's take
Deploy Huntress when organizations with limited internal security capacity wanting strong endpoint and M365 identity threat detection without paying enterprise MDR pricing. Particularly strong fit for MSP-distributed delivery to SMB end customers. The composite score of 69 (grade C) reflects a mixed posture for regulated US workloads. Skip the vendor when enterprises needing full-spectrum XDR with native network, OT, or cloud workload protection — Huntress's coverage is intentionally focused rather than comprehensive. In every deployment, treat the cells above as a snapshot — the acquisition that gets to production safely is the one that re-verifies the trust-center posture before contract signature and rebuilds the matrix at renewal.
How this scoring is computed
The composite score blends eleven scoreable axes (BAA, training opt-out, US data residency, SOC 2, ISO/IEC 42001, NIST AI RMF, Colorado AI Act, Section 1557, SR 11-7, ABA Op 512, subprocessor transparency) with the trust-center maturity score. Axes marked N/A are excluded from the denominator so vendors are not penalized for sector-inapplicable axes. The vendor's primary sector amplifies the most relevant axes — healthcare vendors weight Section 1557 ×2, legal vendors weight ABA Op 512 ×2, banking vendors weight SR 11-7 ×2 — so the composite reflects what matters in the actual buying context.
Read the full methodology →Disagree with this scoring?
EFROS publishes scoring rationale per cell with a public source. If you have evidence that a specific axis should score differently — a new BAA, a new certification, a documented policy change — submit a formal challenge below. We re-score and publish the result with the next quarterly edition (or as a mid-quarter changelog entry if the change is material).
Disagree with a score?
Every cell in the EFROS Index is source-cited. If you have a public source that contradicts a score for Huntress, submit a formal challenge — we re-verify against the source and respond within 14 days.
Other vendors in security-mssp
Same category, scored on the same twelve axes. Useful for head-to-head shortlisting.
Take the scoring into production
The Index tells you the posture. These engagements turn the posture into a deployable program — vendor selection, governance policy, sector overlay, audit-ready evidence.