Pencheff

Integrations and operations

Security teams

Verified risk, exploitability, and remediation queues.

ScopeFeatured

Use the same platform for sprint gates, release assurance, audit prep, AI product validation, executive risk, and continuous attack-surface monitoring.

OutputUnified evidence

Findings, reports, dashboards, exports, integrations, and retests all read from the same normalized record.

MethodDeterministic first

Pencheff favors repeatable checks, then uses AI for triage, enrichment, orchestration, and remediation where it adds signal.

Coverage

What does Security teams test?

  • Verified risk, exploitability, and remediation queues.
  • This page is part of Solutions under Featured.
  • It links back into the broader security programs without fragmented tooling experience.
  • Slack, Teams, Google Chat, Discord, PagerDuty, Opsgenie, Splunk HEC, signed webhooks, GitHub Issues, and Jira.
  • Schedules for recurring scans, release gates, retests, continuous monitoring, and drift checks.
  • OpenTelemetry spans, logs, metrics, trace waterfalls, audit hash chain, SLO, and cost dashboards.
  • API keys, REST references, MCP tool access, webhooks, and CI/CD automation.
  • Workspace onboarding, support, trust, pricing, self-hosting, partnerships, and enterprise deployment workflows.

Execution

How does Pencheff run this?

  • Connect a target, workspace, integration endpoint, or automation credential.
  • Choose event routing by target, severity, status, schedule, or release workflow.
  • Deliver findings to chat, ticketing, paging, SIEM, GitHub, webhooks, or dashboards.
  • Use traces, audit logs, SLOs, and cost views to operate scans with confidence.
  • Review support, pricing, or deployment requirements when scaling the program.

Evidence

What evidence does this produce?

  • Integration delivery status, target mapping, event payload, severity filters, and test results.
  • Trace spans for HTTP requests, subprocesses, LLM calls, scan phases, and errors.
  • Audit log records with actor, action, IP, user agent, and hash-chain verification.
  • API and MCP references for automation, CI/CD, and internal platform workflows.

Controls

How is this kept safe to run?

  • Credentials are stored as integration configuration and used only for the selected destination.
  • Signed webhooks and target-specific routing reduce noisy or unauthenticated delivery.
  • Observability is opt-in and can be disabled globally by environment policy.
  • Support and pricing pages route users to the right commercial or operational next step.

Documentation

Read the full reference.

FAQ

Common questions

How does Pencheff support a security team's daily workflow?
Pencheff provides a unified finding stream aggregating DAST, SAST, SCA, IaC, and AI security findings into a single prioritised queue — filtered by severity, target, framework mapping, and status. Security teams triage, assign, and track remediation without juggling multiple tools.
Can multiple security team members collaborate on findings in Pencheff?
Yes. Findings can be assigned to individuals, commented on, and linked to remediation PRs. Finding status (open, in-review, fixed, suppressed, accepted) is tracked per team member, with audit-log entries recording all changes.
How does Pencheff's AI triage help security teams work faster?
AI triage pre-analyses each finding in its application context, generates an exploitability assessment, and drafts remediation guidance — so security engineers spend their review time on the highest-risk confirmed vulnerabilities rather than manually triaging raw scanner output.

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