A Neotask agent tracks security patches across the stack by pulling open vulnerabilities from Snyk and Dependabot, cross-referencing them against what is actually deployed, and creating a prioritized Jira ticket for anything that needs a fix — with severity-based SLAs enforced automatically so a critical CVE gets escalated within hours while a low-severity dependency bump waits for the next normal sprint, instead of every finding landing in the same undifferentiated backlog.
Vulnerability scanners are good at finding problems and bad at prioritizing them for a team that also has to ship product, which means the raw output from Snyk or Dependabot piles up into a backlog that looks equally alarming whether it contains a remote-code-execution CVE in a production-facing service or a minor version bump in a dev-only dependency. Engineering teams that see the same undifferentiated wall of findings every week eventually start ignoring the whole list, which is exactly the failure mode that lets a genuinely critical patch sit unaddressed for months next to a hundred low-priority ones. What is missing is not more scanning — it is the layer that decides which findings are actually urgent based on what is exposed and deployed, and enforces a different response timeline for each severity tier.
The agent pulls new findings from Snyk for dependency and container scanning and Dependabot for repository-level alerts, rather than requiring someone to check both dashboards separately.
Integration: snyk
Each finding is checked against which services actually run the affected dependency in production, deprioritizing findings in code paths that are not deployed or not internet-facing.
Severity, exploitability, and exposure combine into a priority tier — critical, high, normal — that determines the SLA clock rather than treating every CVE score the same.
A Jira ticket is created with the finding details, affected service, and priority tier pre-filled, assigned to the team that owns the affected service rather than a generic security backlog.
Integration: jira
Critical findings trigger an escalation in Slack if not acknowledged within the tier's time window, and repeat escalations continue until the ticket is actioned.
Integration: slack
Once a ticket is marked resolved, the agent re-checks the scanner output to confirm the vulnerability is actually gone from the next scan before closing the loop, catching fixes that did not fully deploy.
A rolling report of open findings by tier, mean time to remediation, and overdue tickets is generated for security leadership, replacing a manual weekly status compilation.
The agent checks which deployed services actually include the vulnerable dependency in their running build, so a vulnerability in an unused code path does not get the same urgency as one in a live production service.
Critical findings typically carry a same-day acknowledgment requirement with escalating Slack alerts until action is taken; the exact window is configurable per organization's risk tolerance.
No, it sits on top of Snyk and Dependabot output, adding prioritization, ticket creation, SLA enforcement, and verification the scanners themselves do not do.
It re-checks the next scan cycle after a ticket is marked resolved and only closes the loop if the specific finding no longer appears, rather than trusting the ticket status alone.
$0/mo
Download without a card and start for free.
$50/mo
The full personal agent platform for one person.
$100/mo
One company workspace with room to add your team.
$200/mo
Multiple workspaces and capacity for larger teams.