# PagerDuty vs incident.io security and compliance: the definitive comparison for security leaders *July 9, 2026* > **TL;DR:** If you run a regulated engineering organization, choose the incident management platform that automates compliance evidence, not just alerts. We capture every action, decision, and timeline event automatically in Slack. Investigations automates up to 80% of incident response, eliminating the manual reconstruction that turns every quarterly audit into a cross-tool archaeology project. Private Incidents restricts sensitive data to authorized responders only. PagerDuty is a powerful alerting engine, but it's web-first with Slack bolted on, which means post-incident reconstruction happens manually across tools and its access controls operate outside the Slack environment where engineers actually work, forcing security teams to piece together audit evidence manually after every incident cycle. Reconstructing a P1 incident timeline for a SOC 2 audit means manual Slack-scrolling, ticket-matching, and log-digging. According to incident.io's [enterprise incident management research](https://incident.io/blog/incident-management-tools-for-enterprise), manual post-mortem reconstruction wastes significant engineering time as teams rebuild timelines from Slack threads, monitoring data, and call recordings. Multiply that across 30 incidents in a quarter and you've spent a significant block of engineering hours on evidence that a well-configured incident management platform should have captured automatically. For security leaders in regulated SaaS, fintech, or healthtech, choosing an incident management tool is a compliance decision. This guide compares PagerDuty and incident.io across SOC 2 evidence mapping, GDPR compliance, granular access controls, and AI data safety to help you complete your vendor security review. ## Summary of incident management security controls The table below captures the key compliance features at a glance. | Security feature | PagerDuty | incident.io | | --- | --- | --- | | SOC 2 Type II | Yes | Yes | | ISO 27001 | Yes | No (SOC 2 Type II certified) | | FedRAMP Low | Yes (authorized March 2025) | No | | GDPR DPA | Yes | Yes | | DORA compliance | Contact for details | Yes | | EU data residency | Contact for details | GCP Belgium (europe-west1) | | SAML SSO | Contact for tier details | Enterprise | | SCIM provisioning | All plans, including Free | Enterprise | | Private incidents (RBAC) | Contact for details | Native | | Automated timeline export | Contact for details | Automated capture and export | ### PagerDuty certifications and compliance posture PagerDuty holds SOC 2 Type II, ISO 27001, and FedRAMP Low (authorized March 2025) certifications. Its alerting infrastructure is battle-tested and its security program has a long operational history. Request the current certification letters and audit period dates from PagerDuty's trust portal during procurement. PagerDuty's SOC 2 Type II examination window has run approximately 6 months, so confirm the most recent audit period aligns with your review cycle. ### incident.io compliance for regulated use We hold SOC 2 Type II certification. We're GDPR-compliant, with details available through our [Data Processing Agreement](https://incident.io/legal/data-processing-agreement). You can verify current certification status through the [incident.io Trust Center](https://trust.incident.io/). ### Key compliance requirements for incident tools Incident management platforms handle sensitive data in compliance programs. These platforms process system metadata, alert payloads, and on-call engineer communications, and during a live security incident often touch PII, authentication logs, and remediation details. Auditors typically scrutinize these platforms as control points for logical access, incident identification, and incident response. A platform that forces manual evidence reconstruction after the fact introduces a systemic audit gap, not just an inconvenience. ## SOC 2 Type II and ISO 27001 certification status Both platforms hold SOC 2 Type II certification, but the way they map to specific common criteria affects your audit preparation workload. This section shows how PagerDuty and incident.io address access control, incident identification, and incident response requirements. | SOC 2 common criteria | Control requirement | PagerDuty mapping | incident.io mapping | | --- | --- | --- | --- | | CC6.1 (Access Control) | Restrict access to authorized users | SAML SSO: Professional tier and above. SCIM: all plans including Free. (Confirm current requirements with PagerDuty.) | SAML: Enterprise. SCIM: Enterprise. | | CC7.2 (Incident Identification) | Identify and analyze security incidents | Contact for details | Automated Slack channel creation and alert routing | | CC7.3 (Incident Response) | Contain, mitigate, and document incidents | Contact for details | Automated timeline capture in Slack | ### Verifying PagerDuty audit reports PagerDuty's audit reports are available through its security trust center. Contact their team to confirm availability, access requirements, and which tier of engagement gives you access to penetration test summaries. ### incident.io audit scope and report availability Our SOC 2 Type II report covers the Security, Availability, and Confidentiality trust service criteria. Contact us through the [incident.io Trust Center](https://trust.incident.io/) to request access. For context on the certification journey, we documented the initial SOC 2 Type I process in a [public post on our blog](https://incident.io/blog/weve-successfully-completed-our-soc2-audit). ### Steps for vendor security validation Run these three steps before finalizing either vendor in your security review: 1. **Pull the sub-processor list.** Verify that all sub-processors handling your incident data, including AI inference providers like OpenAI or Anthropic, are listed in the DPA with their processing purposes and geographic locations. 2. **Request the penetration test executive summary.** Both platforms conduct annual third-party pen tests. Ask for the most recent summary and confirm it covers the API endpoints your SIEM connects to. 3. **Confirm encryption key management.** Verify encryption at rest and in transit, then ask whether customer-managed keys are available at your plan tier. Our [data storage documentation](https://help.incident.io/en/articles/5948417-where-is-our-data-stored) confirms all data is encrypted at rest in Postgres and BigQuery, and in transit. For key management architecture specifics, including whether customer-managed keys are available at your plan tier, request documentation through the [incident.io Trust Center](https://trust.incident.io/). Ask PagerDuty's team the same questions for their environment. That detail becomes a hard requirement for FedRAMP High and ITAR-scoped workloads where you cannot delegate key custody to the provider. ## GDPR compliance and data processing agreements GDPR compliance for incident management platforms hinges on data processing agreements, sub-processor transparency, and geographic data handling. This section compares how PagerDuty and incident.io handle EU data transfers, sub-processor lists, and data removal workflows under GDPR Article 28. ### Reviewing PagerDuty sub-processor lists PagerDuty maintains a sub-processor list and offers Standard Contractual Clauses (SCCs) for EU data transfers under its GDPR DPA. If you operate under EBA outsourcing guidelines or the UK FCA's operational resilience rules, request PagerDuty's full sub-processor list during DPA negotiation and map each processor against your sector's third-party risk requirements: those frameworks require documented evidence of sub-processor oversight, not just a signed DPA. ### Evaluating incident.io DPA and sub-processors Our [Data Processing Agreement](https://incident.io/legal/data-processing-agreement) operates under GDPR Article 28, which governs processor obligations. It addresses data transfers and safeguards, as detailed in our [data storage documentation](https://help.incident.io/en/articles/5948417-where-is-our-data-stored). The sub-processor list explicitly names AI inference providers, including OpenAI. ### Compliance for data removal workflows When PII is accidentally pasted into an incident log, a common occurrence during authentication or data-breach incidents, you need a documented removal path. Contact us to discuss redaction workflows that satisfy GDPR right-to-erasure (Article 17) requirements while preserving incident record integrity. We offer data deletion upon request, as documented in our [security FAQ](https://docs.incident.io/admin/security-faqs). ### Regulatory breach notification timelines GDPR requires prompt breach notification to supervisory authorities. We compress the "aware to assessed" phase by auto-creating channels, assigning roles immediately, and capturing the timeline in real time, rather than leaving your team to assemble context across five tools before anyone can evaluate scope. PagerDuty pages the right people fast, but cross-tool assembly overhead can erode notification windows before investigation even begins. ## Meeting geographic data localization mandates Regulated industries in the EU, UK, and other jurisdictions increasingly require that customer data remain within specific geographic boundaries. This section compares where PagerDuty and incident.io physically store incident data and how each platform addresses cross-border data transfer requirements. For EU financial entities subject to the Digital Operational Resilience Act (DORA), incident.io is DORA-compliant, which is directly relevant to your [Articles 28–30](https://www.regulation-dora.eu/blog/dora-third-party-ict-providers-guide-for-suppliers) ICT third-party risk management obligations: pre-contractual due diligence, mandatory contractual provisions, and ongoing monitoring when onboarding incident.io as a critical or important ICT provider. DORA's requirements in this area became applicable in January 2025. ### Where PagerDuty stores customer incident data PagerDuty offers service region options for some customers. Before signing, ask PagerDuty's sales team which regions are available on your target plan tier and whether region election requires a contract amendment. Some platforms offer residency only at Enterprise, and a mid-contract change can trigger a lengthy re-negotiation cycle. ### Where incident.io stores customer data Our primary data residency is in GCP's Belgium region (europe-west1), as confirmed in our [data storage documentation](https://help.incident.io/en/articles/5948417-where-is-our-data-stored). Our DPA addresses data transfer safeguards, making it straightforward to satisfy EU data localization requirements. For US-headquartered companies operating primarily in Europe, this architecture provides a strong baseline for supervisory authority review. ## Enforcing granular access via SAML and SCIM SOC 2 CC6.1 requires that access to sensitive systems is restricted to authorized users and automatically deprovisioned when employees leave. This section compares how PagerDuty and incident.io implement SAML single sign-on and SCIM automatic provisioning, and at which plan tiers these controls become available. ### PagerDuty SAML and SCIM configuration PagerDuty supports SAML SSO from its Professional tier up through Business and Enterprise, and SCIM provisioning on all plans including Free. Before finalizing your plan selection, confirm current tier requirements directly with PagerDuty, since packaging can change. Which tier you land on directly affects your SOC 2 CC6.1 posture and your offboarding SLA if an engineer leaves mid-incident. For teams handling sensitive security incidents, manual deprovisioning creates an access control gap that auditors flag under CC6.1. ### Automating SSO and SCIM provisioning We support SAML SSO on Enterprise, and SCIM automatic user provisioning on Enterprise tier, as documented in the [SAML SSO guide](https://docs.incident.io/admin/saml-sso) and [SCIM provisioning guide](https://docs.incident.io/admin/scim). We integrate with Okta, Microsoft Entra ID (formerly Azure AD), and other standard SAML identity providers. When an engineer leaves your organization, your IdP automatically deprovisions their incident.io access based on the directory change, rather than relying on a manual offboarding checklist. That automatic sync satisfies CC6.1 without ongoing administrative overhead. ### How to isolate sensitive data A junior on-call engineer cannot accidentally expose PII in a public channel during a suspected breach. Our Private Incidents feature automatically restricts Slack channel access to authorized responders only, hiding incident metadata from everyone outside the defined access list. The channel structure enforces confidentiality before anyone types the first message. Setup requires connecting a [Slack Workspace Owner](https://docs.incident.io/getting-started/slack-privileged-access) (we recommend creating a dedicated account for this purpose) to handle private channel creation on behalf of the platform. > "Security features, like private incidents, or restricting incident creation are also pretty helpful. On-boarding, handling of feature requests, and general customer support was the best I experienced so far." - [Verified user on G2](https://www.g2.com/products/incident-io/reviews/incident-io-review-9692852) The key difference from PagerDuty's model is that our access control operates inside Slack itself, meaning access is enforced in the same interface where engineers coordinate incidents, not in a separate web dashboard they visit only to configure the tool. ## How incident platforms generate defensible reports Auditors expect a complete, timestamped record of every incident for SOC 2 CC7.3 compliance. This section compares how PagerDuty and incident.io generate audit-ready incident timelines and the manual effort required to produce defensible evidence. ### Exporting PagerDuty audit records Exporting a defensible audit record from PagerDuty requires pulling alert logs from the API, cross-referencing notification history, matching those records against the incident timeline in the web UI, and manually assembling them into a format your auditors can evaluate. That manual reconstruction process compounds quickly across a quarterly audit cycle covering dozens of incidents. ### Automating incident evidence logs and immutable timeline capture We automatically capture key incident events including pinned Slack messages, role assignments, status changes, and decision points into a structured timeline, as described in our [enterprise incident management guide](https://incident.io/blog/incident-management-tools-for-enterprise). No engineer needs to take notes, start a timer, or remember to log an action. The platform builds the record in real time while the team focuses on resolution, which means you have complete, accurate evidence rather than a reconstruction from memory three days later. The captured timeline provides a reliable audit record. Users can customize the timeline to add their own narrative or events that happened in external systems, and can edit event titles or add descriptions to summarize what happened at a particular point in time. We store this structured data in encrypted databases under SOC 2 controls, so even if you archive or delete the Slack channel, the compliance record persists. This architecture provides the audit trail that chat-based incident response requires. The timeline can be exported on demand, giving your auditors a structured evidence package they can map directly to SOC 2 controls without further processing. > "We can allow all business units to customize workflows for their specific process while having a consistent process overall across the company and we can keep track of any setting changes with audit logs going to DataDog." - [Verified user on G2](https://www.g2.com/products/incident-io/reviews/incident-io-review-8839157) Vanta, a compliance platform that automated their own [manual five-step incident process](https://incident.io/customers/vanta) using incident.io, provides a directly relevant case study: they now alert the right people within minutes and have measurably reduced audit preparation overhead. ## How AI features handle sensitive incident data AI features in incident management platforms process sensitive alert data, logs, and communications. This section compares how PagerDuty and incident.io handle AI training data, sub-processor agreements with AI providers, and administrative controls over AI feature enablement. ### How PagerDuty AI processes customer data PagerDuty's AI features process customer alert and incident data. During DPA negotiation, ask specifically whether that data feeds general model improvement, which sub-processors handle inference, and whether AI features can be disabled at a workspace level. Your internal AI governance policy may require each of those three questions answered in writing before you can sign off. ### How incident.io handles AI training data Our AI features, [Investigations](https://incident.io/investigations) and Scribe, have documented data handling commitments. According to our AI privacy guidance, we do not train or fine-tune AI models on customer data for general purposes. If we ever train a model on customer data for a specific use case, we use the resulting model solely to service that customer's requests and subject it to the same data handling requirements as all other customer data. Data processed by our AI features is encrypted in transit and at rest. Contact us to discuss AI feature governance controls. If your internal AI governance policy requires explicit approval before any AI feature processes incident data, we can work with you to address those requirements once your policy framework is satisfied. ## Platform security controls and pentest coverage incident.io encrypts data at rest using AES-256 and in transit using TLS. PagerDuty encrypts data at rest and in transit over public networks. Both platforms conduct annual third-party penetration testing, with executive summaries available to customers through the respective trust portals. For detailed security architecture documentation, access the [incident.io Trust Center](https://trust.incident.io/) or request PagerDuty's documentation through their security portal. When reviewing either summary, confirm the scope includes the specific API endpoints and integrations your team will use, particularly any SIEM or identity provider connections. ## Three-year TCO: compliance cost comparison For a 100-person engineering organization, the compliance cost difference between manual audit prep and automated evidence generation compounds significantly over three years. | Cost category (100 users) | PagerDuty (Enterprise) | incident.io (Pro + On-Call) | | --- | --- | --- | | Annual license cost | ~$64,621/year avg. enterprise contract (Vendr benchmark) | $54,000 ($45/user/month) | | Manual audit prep labor | Manual reconstruction from alert logs, notification history, and web UI records | Automated timeline capture | | 3-year license cost | ~$193,863 (Vendr benchmark × 3) | $162,000 | Our Pro plan is $45/user/month with on-call (the $25 base fee plus the $20 on-call add-on), as verified on the [incident.io pricing comparison page](https://incident.io/blog/incident-management-pricing-comparison-2026). That is the real cost, not a starting-from price. PagerDuty's published tiers start at Free, then $21/user/month (Professional) and $41/user/month (Business). Enterprise pricing is custom. Verify whether on-call scheduling and AI features require add-ons at your target tier. For a real-world enterprise anchor: according to Vendr's procurement benchmark data, the average PagerDuty enterprise contract runs approximately $64,621 per year. Your actual contract will vary based on user count, add-ons, and negotiated discounts. Use that figure as a planning baseline, not a quoted price. The labor savings reflect the reduction in manual audit prep that automated timeline capture delivers, based on [enterprise incident management benchmarks](https://incident.io/blog/incident-management-tools-for-enterprise) showing manual post-mortem reconstruction wastes significant engineering time per incident. For teams considering the switch, [customer case studies](https://incident.io/customers) show organizations that have achieved faster MTTR with reduced cognitive overhead. [Book a demo](https://incident.io/demo) to see Private Incidents, SAML/SCIM configuration, and automated audit log export running against a simulated security incident. ## Key terms glossary **Private Incidents:** A native security feature in incident.io that restricts access to sensitive incident channels and metadata to authorized responders only, enforced automatically through Slack's channel permissions and RBAC. **Investigations:** incident.io's AI SRE product that analyzes telemetry, code changes, and past incidents to identify root causes and can draft fix PRs directly in Slack, automating up to 80% of incident response. **Scribe:** incident.io's AI-powered call transcription and decision-capture feature that operates in real time during active incident calls, distinct from Investigations. **Timeline capture:** We automatically log all actions, decisions, and Slack messages during an incident into an immutable record, generating audit-ready evidence without manual engineering effort. **SAML/SCIM:** Security Assertion Markup Language and System for Cross-domain Identity Management, the protocols incident.io uses to integrate with identity providers like Okta and Microsoft Entra ID for single sign-on and automatic user provisioning. **SOC 2 Type II:** An audit standard from the AICPA that verifies an organization's controls for Security, Availability, Confidentiality, Processing Integrity, and Privacy are not only designed correctly but operate consistently over a defined period. **GDPR Article 28:** The specific GDPR provision governing Data Processing Agreements between data controllers and processors, requiring processors to provide sufficient guarantees about data protection measures.