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The Vijilan webinar series

Hot Wash

The debrief, on the record.

One realistic incident per episode, walked from the first alert to the last decision. Then the part most webinars skip: the debrief, held live, with people who would have made different calls.

In short

Hot Wash is Vijilan Security’s free webinar series for security leaders, IT directors and MSPs: each episode walks one realistic incident from first alert to final decision, then holds the debrief live. Episodes are free, vendor-neutral and recorded.

Why the name

What a hot wash is.

A hot wash is the debrief held straight after an exercise or a real incident, while the people involved still remember what they did and why. The term comes from military after-action practice, and US emergency management’s exercise doctrine (HSEEP) uses it for the facilitated discussion held right after an exercise ends. It is the first, unpolished pass at lessons learned, before anyone writes the formal after-action report.

01

It is what responders actually do

Incident response is supposed to end with a debrief, and in a well-run team it always does. Hot Wash takes that conversation out of the war room and holds it where other teams can learn from it.

02

It promises the right tone

A keynote tells you what went right. A hot wash spends most of its time on what did not: the decision made too late, the alert read too quickly, the owner nobody had named. That is the part worth an hour of your time.

03

It happens while it is still hot

A debrief a year later is history. Each episode takes on a problem teams are dealing with now, before it settles into a best practice nobody questions.

How an episode runs

Four questions, in order.

The same four questions every after-action review asks. The scenario plays out, the panel makes its calls at each decision point, and the last part of the hour answers these.

  1. 01What was supposed to happen?The plan, the runbook, the control that should have caught it.
  2. 02What actually happened?The scenario walked in order, decision point by decision point.
  3. 03Why was there a difference?Where the plan met the real organization: people, timing, ownership, tooling.
  4. 04What will we do differently?The specific change, who owns it, and how you would know it worked.

The ground rules

  • Every scenario is a composite built from patterns we and our guests have seen. Never a client’s incident, and never anyone’s detections or data.
  • No blame. The question is always what the system allowed, not who slipped.
  • Disagreement stays in. Guests are chosen because they would make different calls.
  • No product demo. If a tool comes up, it is because it changed a decision.

Season one

8 incidents, 8 debriefs.

Dates and guests are announced as each episode is booked. Tell us which ones you want first and we will book those sooner.

Hot Wash 01AI and SOC automation

Who’s Accountable at Machine Speed?

An automated action fires faster than any person could approve it. It was the right call this time. The debrief is about the next time, when it is not, and who answers for it.

  • Where the line sits between observe, enrich, recommend and act
  • Which automated actions can be undone, and which need a person first
  • Who signs for an automated action that turns out wrong
Hot Wash 02Business email compromise

The Wire That Left on Friday

A vendor emails new bank details on Friday afternoon. The thread looks right, the invoice is real, and the payment goes out. By Monday the vendor is asking where their money is.

  • Which control should have stopped a bank-detail change, and why it did not
  • The first calls on Monday morning: the bank, the insurer, counsel, the vendor
  • What the attacker’s mailbox rules tell you about how long they were inside
Date to be announced
Hot Wash 03Ransomware response

The First Hour of Ransomware

The help desk takes three calls in ten minutes about files that will not open. Nobody has said the word ransomware yet. What happens in the next hour decides how long recovery takes.

  • Isolate now or watch longer, and who is allowed to make that call
  • Who can take a production system offline at 2 AM, written down in advance
  • What not to touch, so the evidence survives for the insurer and investigators
Date to be announced
Hot Wash 04Identity compromise

MFA Said Yes

Every sign-in in the logs passed multifactor authentication. That is the problem. Somewhere between a push prompt approved at midnight and a password reset over the phone, someone else became the user.

  • Push fatigue, session-token theft and help-desk resets: which one this was
  • Revoking sessions without locking out the business
  • Why “MFA is on” is the start of an identity control, not the end of one
Date to be announced
Hot Wash 05Third-party and supply chain

It Came In Through the Vendor

The intrusion arrives through software everyone trusts: signed, approved and running with admin rights on every machine. For an MSP, that software might be your own remote-management tool.

  • How to tell a trusted tool doing its job from the same tool being misused
  • Who calls the clients, in what order, and what you can say before you know
  • The access you would design out of your tools if you started again
Date to be announced
Hot Wash 06AI agent security

The Agent Did What It Was Told

An internal AI agent reads a document with instructions hidden in it, then does exactly what they say with the access it was given. Nothing was hacked in the usual sense. The agent simply obeyed the wrong text.

  • Who owns an AI agent, and who is paged when it misbehaves
  • What an agent should never be allowed to do without a person
  • The logging you need before an incident, not after it
Date to be announced
Hot Wash 07Detection and coverage gaps

The Alert Nobody Read

The detection fired. It was correct. It sat in a queue overnight with two hundred others, and by the time anyone opened it the attacker had moved on. The tooling worked. The process did not.

  • How alert volume quietly turns a detection into a log entry
  • Who watches after hours, and what happens at the handoff
  • Measuring coverage by what gets investigated, not by what gets collected
Date to be announced
Hot Wash 08Incident response exercise

The Tabletop, Live

A full tabletop exercise run in front of the audience, with injects you vote on. The second half is the hot wash itself: what the room decided, what it missed, and what a real team would change on Monday.

  • How to run a tabletop that tests decisions, not just a contact list
  • The injects that expose ownership gaps fastest
  • Turning the debrief into changes someone actually owns
Date to be announced

Next episode

Get told when it is booked.

One email when an episode you picked gets a date. No newsletter. If there is an incident you would rather we debriefed, suggest it.

Which episodes? (leave blank for all of them)

Questions

About Hot Wash.

What is Hot Wash?
Hot Wash is Vijilan Security’s free webinar series. Each episode walks one realistic security incident from the first alert to the final decision, then holds the debrief live: what was supposed to happen, what actually happened, why they differed, and what to change.
What does “hot wash” mean?
A hot wash is the debrief held immediately after an exercise or an incident, while memories are fresh. The term comes from military after-action practice, and US emergency management uses it for the discussion held right after an exercise ends.
Are the scenarios real incidents?
They are composites built from patterns security teams see repeatedly. No episode describes a client’s incident or uses anyone’s detections or data.
Is it a sales pitch?
No. Episodes are vendor-neutral debriefs with practitioners, and there is no product demo. Guests are chosen because they would make different calls.
Who is it for?
Security leaders, IT directors, and MSP and MSSP owners: anyone who has to make the call when an incident lands, or explain it afterwards.
Does it cost anything?
No. Episodes are free to attend live and free to watch afterwards.

Hot Wash scenarios are composites written for discussion. They do not describe any client’s incident and use no client data. Guests speak for themselves, not for their employers.