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Your Purple Group Is not Purple — It is Simply Crimson and Blue within the Similar Room

Defending a community at 2 am appears to be like so much like this: an analyst copy-pasting a hash from a PDF right into a SIEM question. A pink group script is being rewritten by hand so the blue group can use it. A patch ready on a change-approval window that is longer than the exploitation window itself.

No person in that chain is incompetent. Each human is doing their job accurately. The issue is the system, its workflows, and its messy handoffs.

In distinction, the attacker’s clock has practically disappeared. 

In 2024, the imply time from a CVE being revealed to a working exploit was 56 days. By 2025, it had shrunk to 23 days. Up to now in 2026, it’s sitting at roughly 10 hours throughout 3,532 CVE-exploit pairs from CISA KEV, VulnCheck KEV, and ExploitDB.

Determine 1. Right now’s Vulnerability to Exploitation Home windows is now 10 Hours

The minor piece of fine information is that the defender’s clock has accelerated to run in hours. The actually dangerous information is that the attacker’s clock has leapfrogged previous it and now runs in seconds. It’s not even near a good battle. 

For a decade, the security trade has had a reputation for the observe that is supposed to shut this hole: purple teaming. It is the proper reply. It simply hasn’t been a sensible one, till now.

What Purple Teaming Really Is

Purple teaming is straightforward in idea. 

Crimson finds the paths an attacker would take. Blue validates whether or not detections fireplace and prevention holds. They iterate. Crimson’s output turns into blue’s enter. Blue’s output turns into pink’s subsequent enter. The loop tightens your group’s posture constantly as an alternative of as soon as 1 / 4.

That is the concept, and once more, it’s a stable one. The execution is the place, sadly, all of it falls aside.

Three Causes that Conventional Purple Teaming Hasn’t Been Operationalized

Purpose 1: Human purple teaming creates an excessive amount of friction.

Nearly no person runs purple teaming as an actual loop. The groups do not speak typically sufficient;and  after they do, folks get pulled into lengthy conferences, detailed reviews, prolonged post-mortems, and household emergencies. The bottleneck is sort of at all times human, in essentially the most abnormal sense.

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Have a look at the place defender hours really go.

  • Not contained in the EDR — it fired. 
  • Not contained in the SIEM — it correlated. 
  • Not contained in the scanner — it had the CVE.

Response time dies in transit. The unread Slack message. The copy-pasted hash. The PDF was emailed for overview. The ticket ready for eyeballs or approval. The pink group script is being rebuilt by hand for the blue group. That is the spaghetti handoff. When you see the inefficiencies and failure factors, you possibly can’t unsee them.

Purpose 2: Orchestrating groups and instruments is the true bottleneck

The community group owns firewalls. The SOC consumes alerts. Crimson runs workouts. Blue builds detections. VM chases CVEs. IT ops applies patches.

Every group operates a number of instruments; every instrument emits an artifact (a discovering, an alert, a report, a ticket) that will get picked up, reinterpreted, and handed off. What these groups collectively produce is supposed to be a service: a constantly validated security posture. In actuality, it is often a jury-rigged mess, glued collectively by overtaxed people typing bleary-eyed into Jira at midnight.

So purple teaming has largely stayed aspirational. A cool concept in vendor decks. Maybe a quarterly train. Nearly by no means operational. Definitely not operational sufficient.

Purpose 3: Conventional purple teaming cannot sustain with AI-powered adversaries

Here is what’s modified. Attackers acquired an LLM. The defenders are nonetheless filling in a Jira ticket.

For many organizations, the change-approval course of alone is now longer than the exploitation window. 

An AI-assisted attacker can compromise a system in 73 seconds. A defender, working by way of the usual handoff chain between SOC, pink and blue groups, and IT, often takes not less than 24 hours to deploy a repair.

Determine 2. Spaghetti Handoff between groups

A quarterly purple group train, or perhaps a month-to-month one, is not a loop anymore, it’s a field to be checked, a snapshot of a battle that is already occurred, and, often, an train in futility.

Enter Autonomous Purple Teaming

The identical expertise compressing the attacker’s clock can compress the defender’s. 

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The excellent news is that autonomous purple teaming, by its very nature, is precisely the form of workflow AI is sweet at: a decent, well-defined loop between two specialised features, the place the bottleneck has at all times been the human handoff and information switch reasonably than the work itself.

When autonomous brokers run the handoffs, the loop lastly closes at machine velocity. 

  • Crimson’s findings mechanically turn out to be blue’s exams. 
  • Blue’s gaps turn out to be pink’s subsequent train. 
  • No espresso breaks, no children house from faculty, no vacation disruptions.

The system folks have been describing for ten years can now lastly run as an ongoing methodology, not a calendar occasion.

This is not “AI for security” within the sense most distributors have pitched over the past 12 months: generate a YARA rule, summarize an alert, draft a ticket. These are process automations. Helpful, and incrementally useful. However true autonomy is one thing else: an agent operating the complete loop end-to-end, with each step auditable so you possibly can override, retune, or roll again.

And it is a dial, not a cliff. Crawl is guide. Stroll is scheduled with AI help. Run is end-to-end with human overview solely the place wanted.

What Autonomous Purple Teaming Appears to be like Like in Apply: BAS, Automated Pentest, and AI-Powered Mobilization

To be efficient, autonomous purple teaming requires three elements working as one system reasonably than separate instruments:

Automated Penetration Testing is pink’s query, answered constantly: can an attacker attain the crown jewels in your atmosphere, given at this time’s exposures and at this time’s controls?

Breach and Attack Simulation (BAS) is blue’s reply: did the firewall block it, did the EDR catch it, did the SIEM rule fireplace, did the response play out the best way the runbook says it ought to?

Determine 3. BAS and Automated Pentesting provides you the whole image

AI-powered mobilization is the half that was once a human typing into Jira, now run by a sequence of specialised brokers. A CISA alert lands. A CTI agent enriches it towards your atmosphere. A baseliner agent decides the risk is related and pulls the present posture from BAS, pentest, and publicity information. Crimson and blue brokers run the simulation and validation in parallel. A mobilizer agent auto-deploys low-risk fixes, opens tickets for the average ones, and flags the remainder for human overview. A reporter agent writes one government view for management and one technical view for the SOC.

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No analysts within the chain. Each step remains to be seen within the operator console. No black field, simply no people within the typing-into-Jira seat.

The output is not 50,000 CVEs ranked by CVSS. It is one steady motion queue throughout pink and blue: what’s really exploitable at this time, towards your precise controls, and what to do about it earlier than the exploitation window closes.

That is purple teaming, not simply automation. It is the loop the trade has been dreaming about,  lastly operating on the tempo AI-powered threats now demand.

See it operating inside an actual enterprise

A steady loop is the proper reply. However “steady” nonetheless implies a human pacing it. When attackers function at machine velocity, the hole that issues is not between seeing and detecting; it is between detecting and proving quick sufficient that an AI-driven adversary would not discover out first.

That is the place validation goes from steady to autonomous: AI brokers studying the alert, scoping the take a look at, operating the simulation, pushing the repair, and writing the report, whereas the SOC focuses on the massive image, and ideally catches up on some much-needed sleep.

We’ll be unpacking precisely what this appears to be like like — the structure, the agentic workflows, the operational actuality of operating this inside an actual enterprise — on the Autonomous Validation Summit on Could 12 & 14, hosted with Frost & Sullivan and that includes practitioners from Kraft Heinz, Hacker Valley, and Glow Monetary Companies, alongside Picus CTO Volkan Erturk.

See it in motion on the summit →

Observe: This text was written by Sıla Özeren Hacıoğlu, Safety Analysis Engineer at Picus Safety.

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