Vendor list · AI security
AI security platforms, scored on the published rubric.
Cohort inclusion criteria
- Threat detection & prevention: AI-native detection of email and account-takeover attacks, bots and fraud, and web or endpoint threats, with measured catch-rate or false-positive evidence where published.
- Secure access & identity: the enterprise browser, secure web access, and AI identity verification or biometrics.
- SecOps automation: AI-driven detection, triage, and automated response or SOAR orchestration.
- Security for AI: firewalls and guardrails for LLM and agent applications, adversarial testing, and trust and safety for the AI era.
This cohort deliberately spans two sub-flavors under one rubric: securing the enterprise with AI, and securing AI itself. Each vendor is scored on its actual coverage of every dimension - a dimension a vendor's product category structurally does not address scores zero, not a penalty for missing evidence. A single-surface specialist is not penalized on its own surface; it simply scores lower on protected-surface coverage.
Rubric (7 dimensions)
- Threat-detection efficacy (22%) - measured catch rate and false-positive discipline, including coverage of novel and AI-generated attack classes. The heaviest-weighted dimension.
- AI-native detection architecture (18%) - AI/ML as the detection engine versus signatures or rules with AI bolted on. Heritage-sensitive.
- Protected-surface coverage (12%) - breadth across email, web and browser, endpoint, identity, cloud, and the AI-application surface.
- Response + remediation automation (13%) - auto-remediation and SOAR depth versus alert-only.
- Integration ecosystem (15%) - pre-built connectors across SIEM / SOAR / IdP / EDR / cloud and documented APIs.
- Compliance + certifications (8%) - SOC 2, ISO 27001, FedRAMP, and emerging AI-security attestations.
- Time-to-value (12%) - deployment-to-protection latency and onboarding speed.
Platforms in scope
Each platform below is scored against the rubric above. The score is the weighted total across the seven dimensions, after integration, scale, and pricing-transparency penalties.
01 SentinelOne SentinelOne Cross-industry 93 /100
Top strength Detection efficacy, surface coverage, response automation, and integration ecosystem all score top marks: 100% detections across 16 attack steps in the 2024 MITRE evaluation with 88% fewer alerts than median, one Singularity agent spanning endpoint, cloud, identity, mobile, and...
Top gap MITRE figures are vendor-published rather than independently benchmarked on the public surface; the 2013 founding predates the LLM era; enterprise onboarding runs through expert-led services with no measured deployment-time figure; and the Enterprise tier is quote-only above the...
Best for Global 2000 organizations seeking a single-agent platform that unifies endpoint, identity, cloud, and AI-application security with autonomous response and FedRAMP High plus GovRAMP High authorization.
02 Abnormal AI AI-native human behavior security platform for email and connected cloud apps Cross-industry 90 /100
Top strength Behavioral AI is the detection engine from founding (2018): autonomous detection and remediation of BEC, VEC, and account takeover via one-click API to Microsoft 365 and Google Workspace, with SOC 2, ISO 27001/27701/42001, FedRAMP Moderate, and GovRAMP Moderate attested.
Top gap No published pricing (quote-only; /pricing returns 404) and no third-party-measured catch-rate / false-positive benchmark on the public surface; HQ and revenue bands undisclosed.
Best for Enterprise organizations (incl. Fortune 500) seeking AI-native behavioral detection and autonomous remediation for email, account takeover, and connected cloud applications.
03 CrowdStrike CrowdStrike Cross-industry 89 /100
Top strength Detection efficacy, response automation, compliance, and time-to-value all score top marks: vendor-reported 100% detection and 100% protection with no false positives in the 2025 MITRE ATT&CK Enterprise Evaluations, Charlotte Agentic SOAR for automated response, FedRAMP High...
Top gap The detection core predates the LLM era (founded 2011) with Charlotte AI layered on a heritage platform, and specific named native connectors are not documented publicly (a marketplace exists). The 2024 Channel File 291 update outage caused damage in the tens of billions, though...
Best for Large enterprises needing unified endpoint, cloud, identity, and AI-surface protection with FedRAMP High authorization and minutes-scale deployment.
04 DataDome AI-native bot, fraud, and AI-agent trust platform protecting web, mobile, and API surfaces Cross-industry 79 /100
Top strength Cohort-leading detection efficacy (5T signals/day, <0.01% false-positive rate, 99.99% claimed accuracy) and fast edge time-to-value (client-side setup in under 3 minutes, sub-2ms mitigation across 35+ PoPs), with published per-tier pricing and 300+ enterprise customers (PayPal,...
Top gap Surface coverage is focused on web/app/API/agent traffic with no email, endpoint/EDR, or identity-IdP breadth; ISO 27001/FedRAMP status not disclosed on the public surface.
Best for Enterprises needing high-accuracy bot, account-takeover, and AI-agent protection across web, mobile, and API surfaces with fast edge deployment and published pricing tiers.
05 Incode AI-native identity verification and deepfake-resistant biometrics platform Cross-industry 78 /100
Top strength Independently validated detection efficacy (zero bypasses against 13 attack types, iBeta Level 3 at 0% error on iOS/Android, NIST 99% facial recognition, DHS/Purdue validations) on an in-house 35+ ML-model engine.
Top gap No public pricing and quote-only sales; ISO 27001 and a quantitative time-to-value metric not disclosed; integration breadth is vendor-claimed, not third-party-evidenced.
Best for Enterprise and regulated buyers (financial services, public sector, large marketplaces) needing high-assurance, deepfake-resistant identity verification with FedRAMP Ready controls.
06 Sola Security AI-native platform for security teams to query, build, and automate across their stack Cross-industry 74 /100
Top strength AI-native from inception (post-2022): a domain-expert AI over a cybersecurity graph (15,000+ embeddings, 700+ node types) that unifies cloud, identity, SaaS, code, and endpoint data, with 30+ read-only connectors and minutes-to-value onboarding.
Top gap A read-only query/prioritization layer, not a primary detector or inline enforcer: no published detection-efficacy benchmark, no autonomous remediation/blocking, and no named enterprise customers on the public surface.
Best for Lean and mid-market security teams (and CISOs/GRC leads) wanting fast AI-driven cross-domain context, posture queries, and compliance evidence on top of an existing stack without heavy implementation.
07 Alice Adversarial-intelligence platform securing GenAI apps, agents, and foundation models Cross-industry 72 /100
Top strength Real-world adversarial intelligence (the Rabbit Hole engine, 10B+ analyzed samples from a decade of trust-and-safety work) powering AI red-teaming, runtime guardrails, and continuous production testing, with named foundation-model-lab references (Cohere, Amazon Nova) and...
Top gap No named SOC 2 Type II / ISO 27001 attestation on the public surface (governance is framed as alignment to EU AI Act / ISO 42001 / NIST); pricing is quote-only.
Best for Enterprise teams launching customer-facing GenAI in regulated industries (financial services, healthcare, child-facing products) and frontier model labs needing pre-launch red-teaming plus runtime guardrails.
08 Kindo AI-native agent harness for enterprise security, DevOps, and IT operations Cross-industry 71 /100
Top strength AI-native-from-inception agentic execution (Deep Hat model + Action Chat/Bot) with semi/fully-autonomous detection, containment, and remediation across SOC, IR, vuln management, network, IAM, GRC, red team, and threat intel; on-prem / self-managed / SOC 2 SaaS deployment.
Top gap Efficacy is vendor-claimed with one named customer (Aireon) and no published third-party detection benchmark; no dedicated connector catalog (integrations route 404s); no documented onboarding timeline; pricing is quote-only.
Best for Enterprise security, DevOps, and IT-ops teams that need agentic SecOps automation under strict data control (on-prem or self-managed) and centralized governance of enterprise AI.
09 Island Enterprise browser unifying zero-trust access, DLP, and AI-usage governance Cross-industry 68 /100
Top strength Broadest protected-surface coverage in the cohort: one Chromium-based enterprise browser unifies web, data/DLP, access/ZTNA, network, device posture, and the AI-application surface, with SOC 2 Type 2 and FedRAMP High in-process and named enterprise references (Pfizer, Mattress...
Top gap No third-party quantitative detection efficacy benchmark (catch rate / false-positive rate); detection and response are policy-driven with an AI-governance overlay rather than a purpose-built behavioral detection engine. Pricing is quote-only.
Best for Large enterprises seeking unified browser-delivered zero-trust, DLP, and AI-usage governance across web, endpoint-adjacent, and AI surfaces without network re-architecture.
10 Straiker AI-native security platform for enterprise AI applications and autonomous agents (discovery, adversarial testing, runtime guardrails) Cross-industry 68 /100
Top strength AI-native-from-inception detection engine (fine-tuned models + MoE routing + RLHF) that IS the product, with autonomous real-time guardrails (inline blocking before execution) and minutes-to-deploy one-line API/SDK install across coding, productivity, and custom-built agents.
Top gap No disclosed SOC 2 / ISO 27001 corporate attestation on the public surface (trust page is a JS stub); integration breadth is AI-platform-centric (gateways, MCP, AWS/Azure builder platforms) with no published SIEM/SOAR connector library; detection efficacy figures are...
Best for Enterprise teams (esp. financial services, healthcare, high-tech) deploying custom or hosted AI agents and copilots that need inline, low-latency runtime enforcement without redesigning their stack.
11 Menlo Security Browser security platform for humans and AI agents, with AI-powered zero-day threat prevention and agent runtime security Cross-industry 65 /100
Top strength FedRAMP-Authorized, government-grade compliance posture (NIST 800-53, CMMC, TIC 3.0, Coalfire PAGs) plus a broad named SIEM/IdP/EDR integration network (CrowdStrike, Splunk, Microsoft Sentinel/Azure AD, Okta, Palo Alto, Zscaler) behind a clientless cloud-isolation platform.
Top gap AI detection (HEAT Shield AI on Google Gemini; AI Adaptive DLP) is layered on a heritage remote-browser-isolation core rather than AI-native from inception; efficacy figures (90%+ zero-day, 170k blocks) are vendor-claimed with no third-party benchmark, and pricing is quote-only.
Best for Enterprise and federal/government buyers needing browser isolation plus AI-augmented zero-day web and AI-agent protection that feeds an existing SIEM/IdP stack.
12 Tines Intelligent workflow + SOAR automation platform for security and IT teams Cross-industry 53 /100
Top strength SOAR-grade orchestrated response with autonomous agents, plus a broad API-first connector library across SIEM/SOAR/IdP/EDR (integration is the moat).
Top gap Functions as connective tissue rather than a native threat-detection engine - it orchestrates alerts from other tools rather than detecting threats itself; no public detection-efficacy benchmark.
Best for Security and IT operations teams (SMB through Fortune 10) needing rapid SOAR-style automation and agentic workflows across an existing security stack.
Missing a platform we should evaluate? Submit it here. We add platforms that meet the inclusion criteria above and score them on the published rubric. Vendors that submit are not given preferential treatment - methodology is published in plain sight.