Decawork GTM brain
Decawork builds company-specific models that evaluate AI agent actions against company policy and task context for IT and security teams.
category
AI agent authorization and governancemarket profile
- text: As agents gain access to business systems, organizations need action-level controls that reflect the current task and risk.
- text: Authorization vendors increasingly offer runtime controls and approval gates for agent tool calls.
personas
- title: CISO or security engineering leaderpains:
- Broad agent credentials can expose sensitive systems or allow inappropriate actions
- Static permissions miss the business context of each task
- title: Head of IT or identity governancepains:
- Agents proliferate across teams without a clear owner or inventory
- Manual approval of every step can slow useful automation
- title: AI platform engineering leadpains:
- Needs to connect heterogeneous agents and tool calls to consistent controls
- Security checks must operate in real time without breaking workflows
icp
- text: Organizations deploying multiple internal agents across departments with access to sensitive data or systems; no minimum employee count is published.
- text: IT and security teams managing API and MCP traffic and human approval requirements for agents.
message pillars
- text: Allow useful automation while governing actions.
- text: Apply policy in the context of the active task.
- text: Maintain visibility into the agent estate.
objections
- objection: Can a model be trusted to make security decisions?response: Evaluate false allows and blocks on representative tasks, and specify which actions require human approval.
- objection: Will adding a decision gateway slow or interrupt agents?response: Pilot a bounded workflow and measure latency, coverage and failure behavior before scaling.
- objection: We already have identity and access controls.response: Compare existing static permissions with task-specific decisions at the individual agent action boundary.
competitors
- name: Aponowebsite: https://www.apono.io/agent-privilege-guard/why: Runtime agent privilege controls assess intent and require approval for sensitive actions.
- name: Permit.iowebsite: https://docs.permit.io/ai-security/framework/why: Fine-grained authorization and MCP gateway offer policy checks for agent tool calls.
- name: Palo Alto Networkswebsite: https://www2.paloaltonetworks.com/cyberpedia/what-is-agent-authorizationwhy: Enterprise security vendor addresses agent authorization and per-action enforcement.
influencers
- name: Sarthak Aggarwalurl: https://www.producthunt.com/products/decawork?launch=decaworkwhy: Co-founder introduced Decawork in its Product Hunt launch.
keywords
- AI agent authorization
- agent access control
- MCP gateway security
- AI agent governance
- runtime agent policy
- AI agent approval workflows
- agent identity management
voice
- Direct and control-oriented
- Security-focused with practical examples
signals
- text: Company is deploying agents that can modify HR, finance or production systems.
- text: IT is inventorying agents or adding approval gates for sensitive tool calls.
stack
- MCP
- API gateway
pricing
model: unknown
motion
sales_ledchannels
- Product Hunt
- X
- founder outreach
confidence
mediumFounders
- name: Aman Rajtitle: Founder/CEOrole: CEObio: - Built AI compliance platform at Barclays used by internal teams globally - Founded a fintech and scaled it to 52K families and $1.5M AUM - Led product at a consumer AI startup, scaled to 100K+ MAU (Google Play Best App 2024) - IIT Kharagpur
- name: Sarthak Aggarwaltitle: Founder/CTOrole: CTObio: - AI systems at NVIDIA (deployed at OpenAI, Meta) - Enterprise AI at Ema (used by Microsoft, Hitachi) - Led Conquest, Asia's largest student-run accelerator - Google Code-In Global Winner + Open source since the age of 12 - BITS Pilani