HashSecureAgentic Security and App Studio
A tall stack of paper slips out of focus behind a single slip held by a brass clip, lit green.
Agent · SLO Velocity Agent

Seventeen reports in. Eleven findings out. Every one owned.

Takes findings from every scanner, test and program, merges the duplicates, routes each to its owner, starts the SLO clock and drafts the routine fixes. People approve every change.

Data sheet (PDF)

Watch it work

Northwind Outfitters

Findings from a code scanner, a dependency scanner, a penetration test, a bug bounty program and an AI red-team, tracked in the team’s bug tracker.

Demonstration. This shows how the SLO Velocity Agent works in your environment, run on a fictional company’s findings, tickets, code changes and team calendar. Open any ticket number to see what the agent read.

Watching the clock

In our experience, most findings don’t miss their SLO because the fix is hard. They miss it because the team is busy with its own roadmap, and no one asks in time. Waiting for an executive to escalate is not a plan.

  1. Found

    Every finding gets a clock

    A scanner, a penetration test or a bounty report. Severity sets the SLA, and no team is exempt.

  2. Assigned

    To a team that is already busy

    The owning team has a sprint full of feature work. The finding joins the queue.

  3. Stalls

    Quietly

    No bandwidth, an owner on leave, a vendor patch, a review no one picks up. Nobody says so until the date has passed.

  4. Pushed

    Before the deadline

    The program manager follows up while there is still time: reprioritize, reassign, fast-track. Agents show which findings are at risk, and why.

  5. Escalated

    Only what must be

    What still cannot make it reaches leadership with a decision attached: add people, accept the risk, or approve a compensating control.

  6. Fixed

    Verified, then closed

    The fix is retested, the clock stops, and the weekly on-SLO number says whether the process is working.

  • S024 hours to fix · watched closely in the last 2
  • S114 days to fix · watched closely in the last 5
  • S256 days to fix · watched closely in the last 14
The ticket
Its status, comments and who it is assigned to.
The linked change
A review still waiting, checks failing, or merged but not yet deployed.
The team calendar
Who is out of office before the deadline, and who can cover.
  • Escalate
    S0 with 2 hours left, waiting on a vendor

    The fix needs a patched library the vendor has not shipped. The agent flags it; the program manager gets the security lead to approve a compensating control now, not after the clock runs out.

    S0 · 2 h left · vendor dependency · $624K at risk (checkout offline 12 h)
  • Reassign
    The owner is on leave past the deadline

    The assignee’s calendar shows leave until after the S1 is due. The program manager hands it to a named teammate who knows the service, with the owner’s notes attached.

    S1 · 4 days left · owner out of office · $312K at risk (checkout offline 6 h)
  • Escalate
    “No capacity this sprint”

    A comment on the ticket says the team cannot take it until next sprint, which ends after the SLO. The program manager takes it to the engineering manager this week, to swap it in for lower-priority work.

    S1 · 5 days left · capacity · $228K at risk (orders offline 6 h)
  • Fast-track
    A finished fix, stuck in review

    The change has passed its checks and waited two days for a reviewer. The program manager asks for a priority review, so it ships in time.

    S2 · 9 days left · review waiting · $90K at risk (storefront offline 2 h)

Compared

Scanners find vulnerabilities, and vulnerability management platforms already collect and de-duplicate them. Here is what each does, and where an agent adds something new. In every column, people make the final call.

What it doesBy handScanners and dashboardsVulnerability management platformsSLO Velocity Agent
Reads every source in its own format: scanners, penetration test reports, bug bounty, AI red-team resultsYesslowlyNotheir own findingsPartlystructured feedsYesPDF reports too
Merges exact re-reports of the same issueYesslowlyPartlywithin one toolYesYesplain code
Recognizes the same flaw described differently by two sourcesYesslowlyNoPartlymatching rulesYesand says why
Finds the owning team from code ownership and service mapsYesNoPartlyrules you maintainYes
Starts the clock at the first report from any sourcePartlyNoYesYes
Near a deadline, reads the ticket, its comments, the linked change and the assignee’s calendarYesa program manager, chasingNoNocounts daysYesflags what will miss
Prices each finding in revenue at riskNoNoPartlyrisk scores, not dollarsYes
Drafts routine fixes such as dependency upgradesYesengineersPartlydependency botsPartlyYesan engineer merges
A weekly brief with the decisions leadership needs to makeYesslowlyNoPartlydashboardsYes
Sets severity policy and accepts riskYespeopleYespeopleYespeopleNoleft to people

● Yes◐ Partly— No

People’s hours a year, from report to fixed

  • By hand1,197 h · $180K
  • A platform and people740 h · $111K
  • Agent and people190 h · $29K

84% fewer hours than by hand, and 74% fewer than with a platform and people: 1,007 hours, about $151K.

See the hours by activity, and how each is reached
ActivityBy handA platform and peopleAgent and people
Read, de-duplicate and route reports17 reports a week, 52 weeks. By hand: 0.75 h each. Platform: about 0.4 h each, since rules catch exact duplicates but not the same flaw described two ways. Agent: 0.1 h each to check its work.663 h354 h88 h
Chase fixes near their deadline9 findings a week at 0.5 h each for a program manager to ask for status. A platform counts the days but someone still asks. The agent reads the ticket, change and calendar itself and flags only what will miss, which is counted in the brief.234 h234 h0 h
Draft routine fixes4 routine fixes a month. By hand: 3 h each. Dependency bots: 1 h each to review. Agent: 0.5 h each to review the draft.144 h48 h24 h
Write the weekly briefBy hand: 2 h a week. Platform: 1 h to turn dashboards into a brief. Agent: 0.5 h to check its brief.104 h52 h26 h
Decide severities, exceptions and escalationsThe same in every column: 1 h a week of people deciding.52 h52 h52 h
Total1,197 h740 h190 h

Estimates for the fictional Northwind Outfitters at an assumed $150 an hour, on the same assumptions as the business case in the demo. Categories, not products: individual tools vary. Verify against your own environment.

How it works

  1. Intake

    Every source, one shape

    Scanner exports, penetration test reports, bug bounty submissions and AI red-team results, read in their own formats.

  2. Merge

    Each issue exists once

    Plain code merges exact re-reports. The agent recognizes the same flaw described differently by two sources, and says why.

  3. Route

    Owner and clock

    Code ownership and service maps decide the team. Your severity policy decides the SLO, and the clock starts at the first report from any source.

  4. Fix

    Drafted, never merged

    Routine fixes such as dependency upgrades arrive as drafts. An engineer reviews, tests and merges.

  5. Watch

    Every fix against its clock

    Close to a deadline (the last 2 hours of an S0’s 24, the last 5 days of an S1’s 14), the agent reads the ticket, its comments, the linked change and the assignee’s calendar. It flags what will delay the fix (an owner out of office, a vendor dependency, no capacity) and says what to do before the SLO is missed.

  6. Brief

    One number, every week

    On-SLO percentage, what is past due, what is due this week, and the decisions leadership needs to make.

Where it runs

In your environment
Next to your scanners and ticketing, with read-only access to sources.
Your policy
Severity rules, SLOs and exceptions are yours, written down.
Into your tools
Tickets in your tracker, drafts in your repositories, briefs where leadership reads.
People approve
Merges, severities and fixes are proposals until someone accepts them.

On your data

The demonstration above runs on a fictional company’s findings. On yours, the agent connects to your scanners, tests and ticketing, inside your environment. Design partners can pilot it on their own findings.

The engagement

SLO Velocity™Live in 2 weeks, then every day

  1. 1 · Week 1

    Connect

    Agents
    Connected to your scanners, tests, tracker, repositories and calendars.
    Our people
    Deploy the agent and replay last month’s findings to check its merges and routing.
    Your people
    Grant read access and confirm owners.
  2. 2 · Week 2

    Policy

    Agents
    Start the clock on every open finding.
    Our people
    Write the severity SLOs and the risk-acceptance path with you.
    Your people
    Approve the policy.
  3. 3 · Every week

    Run

    Agents
    Merge, route, draft fixes, watch every clock, flag blockers.
    Our people
    Our program manager pushes before deadlines and prepares the decisions leadership has to make.
    Your people
    Engineers fix; leaders decide.
  4. 4 · From month 2

    Hand over and watch

    Agents
    Keep running.
    Our people
    Train your program manager to run it, and check merge and routing accuracy monthly.
    Your people
    Own the weekly brief.

What agents don’t speed up: Your teams’ capacity. The agent makes it visible; people still have to make room.

What you keep

SLO policy
Severities, clocks and exceptions.
Triage runbook
What agents do, what people decide.
Leadership brief
One page, every week, with revenue at risk.
Risk-acceptance path
For what is accepted rather than fixed.
Accuracy record
Every verdict and every override, logged. Planted-answer scores on every run.
A tall stack of paper slips out of focus behind a single slip held by a brass clip, lit green.
Tools find vulnerabilities. Programs close them. One intake, severity clocks and a weekly number took a payments platform’s backlog down by 98 percent.
Large payments platform · Vulnerability management and governanceRead the case study

Questions

Which sources does it read?

Standard scanner formats such as SARIF and CSV exports, penetration test reports, bug bounty platforms and AI red-team results. New sources are a connector, not a rebuild.

What if the agent merges two different issues?

Every merge shows its reason and can be undone. Exact merges are mechanical; judgment merges are proposals.

Does it replace our ticketing system?

No. It feeds it: one clean ticket per issue, with owner, severity and due date.

How does it relate to SLO Velocity?

It is the engine of the program. The program sets the policy and the cadence; the agent keeps it running every day.

Next step