Compare · GRC platform
Screenata vs Drata
Drata is a GRC automation platform with a template-first model and an autopilot for continuous checks. Screenata takes a different starting point: it generates policies from your real infrastructure, traces every claim to signed evidence, and runs as an agent across Slack, email, the CLI, and your PRs. The difference is operational: where Drata's autopilot flags a gap and waits, Vera collects the evidence, drafts the fix, and re-verifies once it's applied.
Side by side
Screenata and Drata, line by line.
Where Screenata is different
Three things Drata doesn’t do.
Grounded policies, kept in sync
Drata is template-first with AI applied after the fact. Screenata writes from infrastructure scans, so the policy and the proof come from the same source and stay aligned as your systems change.
Traceability all the way to the artifact
Drata links evidence to controls. Screenata links a specific policy sentence to a testable claim, to the control test, to a signed artifact your auditor can verify outside the platform.
Compliance in your workflow
Instead of a dashboard to visit, Screenata delivers in Slack, email, the terminal, and PR reviews, with daily, weekly, quarterly, and annual agents doing the work on schedule.
The operational layer
Drata detects. Vera does the work.
Detect
Scheduled agents scan your cloud, repos, and identity provider continuously, the same signals Drata reads.
Do
Vera collects ~70% of evidence automatically across 500+ checks, chases the attestations a dashboard can't, and when she finds a gap she opens the remediation ticket and drafts the fix.
Verify & sign
After a human applies the change, Vera re-verifies and files a signed, traceable artifact. She escalates judgment calls rather than acting unattended, which is what keeps auditors comfortable.
Drata
Autopilot detects → flag → wait for a human
Screenata
Detect → collect & remediate → re-verify → sign
Drata, in detail
The questions people ask about Drata.
Drata MCP
Drata MCP vs Screenata's agent
Drata's MCP server exposes Drata data to an LLM so you can query your compliance posture from an AI client, a read layer over the dashboard. Screenata is the opposite direction: the agent doesn't just answer questions about your program, it runs it, collecting evidence, drafting remediations, and re-verifying on a schedule. One lets an AI read Drata; the other is the AI doing the compliance work.
Drata Trust Center
Trust Center, side by side
Drata offers a Trust Center to share your security posture with prospects. Screenata includes a trust center too, plus the questionnaire automation and signed, externally-verifiable evidence behind it, so what you publish is backed by artifacts an auditor or customer can validate outside the platform.
Drata pricing & competitors
Drata pricing and where it sits
Drata doesn't publish pricing; reported quotes run roughly $7–50K/year on an annual contract, priced per framework and by headcount. Its closest competitors, Vanta and Secureframe, are the same dashboard model. Screenata is the agent-first alternative at $499/month per framework.
- Drata risk assessment: a module you drive; Screenata syncs risks from GitHub and scanners automatically
- Sales-gated annual contract vs Screenata's transparent $499/month per framework, month to month
- Dashboard your team operates vs an agent that operates it for you
The honest version
When Drata is the better fit.
- You prefer a mature dashboard-centric workflow your team already knows
- You're standardizing a larger org on a single GRC vendor
- Your compliance program is run by a dedicated owner, not a founder on the side
Screenata is built for the 5–50 person team that needs SOC 2 to close a deal, wants policies grounded in real infrastructure, and would rather operate compliance from Slack and the terminal than a dashboard. More on who we’re for.
Screenata
$499/month per framework
One plan, everything included. SOC 2 + HIPAA, all integrations, all agent operations. Cancel anytime.
Drata
$7–50K/year (est.), annual contract
Typical GRC platform model: annual commitment, with additional frameworks and headcount priced on top.
Questions
Screenata vs Drata, answered.
Is Screenata a good Drata alternative?
For small teams, yes. Screenata is an AI agent that generates SOC 2 policies from your real infrastructure, automates about 70% of evidence across 500+ checks, and runs the program from Slack, email, and the CLI, for $499/month per framework, month to month. Drata is a GRC automation platform with a template-first model and an autopilot for continuous checks, typically on a $7–50K/year annual contract. If you want a mature dashboard your team drives, Drata fits; if you're a 5–50 person team that needs SOC 2 to close a deal, Screenata does the work for you.
How much does Drata cost compared to Screenata?
Drata doesn't publish pricing; reported quotes run roughly $7–50K/year on an annual contract, with additional frameworks and headcount priced on top. Screenata is $499/month per framework, month to month, with all integrations and agent operations included.
What is Drata MCP, and does Screenata have one?
Drata's MCP server lets an AI client read your Drata compliance data and answer questions about your posture. Screenata goes further: it's an agent that runs the program, not just a read layer, it collects evidence, drafts remediations, and re-verifies on a schedule across Slack, email, the CLI, and your PRs.
What can Screenata do that Drata can't?
Drata is template-first with AI applied after the fact and links evidence to controls. Screenata writes policies from infrastructure scans so the policy and the proof come from the same source, and it traces a specific policy sentence to a testable claim, to a control test, to a signed artifact your auditor can verify outside the platform.
Does Screenata remediate issues, or just monitor like Drata's autopilot?
Drata's autopilot monitors and flags failing controls for a human to fix. Screenata's agent, Vera, collects the evidence automatically and, when she finds a gap, opens the remediation ticket, drafts the fix, and re-verifies once a human applies it. She escalates judgment calls rather than acting on them unattended, so production changes stay under your team's control.
Connect and see
Compare on your own systems, not a feature grid.
Connect GitHub and cloud read-only. Vera generates policies and a control matrix from your real infrastructure in minutes, and we ship new capabilities every week.