Torq vs Adapt (2026)

Torq

by Torq

Adapt

by Adapt

Pros

• ✓AI agents autonomously triage, investigate, and respond to security threats at machine speed, reducing alert fatigue and false positive investigation time that burns out SOC analysts.
• ✓Socrates natural language interface lets analysts describe desired security responses conversationally and execute them immediately, lowering the skill barrier for complex incident response.
• ✓Hyperautomation orchestrates entire security workflows across the tool stack, connecting detection platforms like Wiz to response actions without requiring manual playbook execution.

Limitations

• ⚠No public pricing page and no free tier or self-serve trial means teams cannot evaluate Torq without committing to a sales process and demo cycle.
• ⚠Deploying Torq means integrating it across an existing security stack (SIEM, EDR, cloud, identity, and ticketing) and tuning agents over 2 to 4 weeks, so its value depends on a mature security toolset already being in place.
• ⚠Exclusively focused on security operations with no general-purpose automation capabilities, making it unsuitable for teams that need workflow automation across marketing, sales, HR, or IT functions.

Pros

• ✓Usage-based pricing with no seat minimums and a genuinely free starter tier lowers adoption friction. Starter gives every user $25 in free credits, a $100 Slack bonus, and up to $300 for work-domain signups, so teams can run real workflows before committing to a paid plan.
• ✓Slack-native interaction means end users adopt nothing new: anyone can tag @Adapt in an existing channel to query data, trigger workflows, or run cross-system analysis. Adapt also exposes a hosted MCP server (early access, June 2026), so external agents and tools can connect over the Model Context Protocol and inherit full company context.
• ✓SOC 2 Type II certified, with GDPR and CCPA listed on the security page and an explicit commitment that user data is never used to train AI models. OAuth tokens and API keys are stored in encrypted infrastructure, addressing the privacy objections that block AI tool adoption.

Limitations

• ⚠Microsoft Teams is not supported, so organizations where Slack is not the primary chat platform must rely on the web or mobile app for all interactions, reducing the chat-native experience central to Adapt's value.
• ⚠Zero independent reviews on G2, Capterra, or any third-party platform as of Q3 2026, so buyers have no external validation beyond vendor-published testimonials to assess reliability and support before committing.
• ⚠Credit-based pricing is harder to forecast at production scale than flat-rate billing, so teams running complex cross-system workflows may find costs less predictable than no-code alternatives such as Zapier or Make ($9/mo billed annually).