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Security @ Cisco Blogs

Black Hat USA 2026: Building the Agentic SOC, One Live Event at a Time Thrown into the SOC: A Black Hat First-Timer’s Story Troubleshooting Wi-Fi at Black Hat USA 2026 with ThousandEyes Distributed Latency Monitoring at Black Hat Black Hat USA 2026: Safeguarding DNS with Secure Access Building a Risk-Based Secure Network Analytics Detection with Splunk Detection Editor (Alpha) Frontier AI just raised the stakes, and the old playbook won’t hold up Crypto Agility: Why PQC Is Not a One-Time Upgrade From Isolated Agents to Collective Intelligence: Why A2A Is the Protocol the Agentic SOC Has Been Waiting For Microsegmentation’s Moment Is Now: Cisco Named a Leader in The Forrester Wave™: Microsegmentation Solutions Identity Everywhere: Bringing Infrastructure Identity to Agentic IT Cisco Named a Leader in the 2026 IDC MarketScape for Worldwide SASE Meet Instant Attack Verification: Agentic AI for Tier-1 and Tier-2 SOC investigation Elevating Federal Cybersecurity: Cisco’s Path from FedRAMP Certified Class C (Moderate) to Certified Class D (High) Elevating Trust: Email Threat Defense Achieves FedRAMP Class D (High) Certification Is your SD-WAN ready for AI-powered operations? The Zero Trust Imperative for the Frontier AI Era Assuming Failure: The Mindset Shift That Actually Improves Your Defensive Outcomes The Journey towards Logically Air-Gapped Deployment Cisco Firewall Migration Manager: A Faster, Simpler, More Confident Path to Secure Firewall We third-party tested our firewall built for AI-scale. The test tools hit their limit first. SharpHound Recon Attack - How AI enhanced the threat hunt Machine Speed, Human Judgement: How AI Changed the SOC in 2026 Elevating Expertise in the SOC Educate at Event Speed: Cisco Live Security Operations Center What Working the Cisco Live SOC Taught Me About AI, Detection, and Response Cable to Cloud - A Product Engineer's Journey Through the Cisco Live AMER 2026 SOC The Experience Dividend: How Better Digital Experience Protects Revenue, Trust, and Growth AIM: Building an Agentic Tier-2 SOC Analyst at Cisco Live AMER 2026 Building the Agentic SOC at Cisco Live Americas 2026
The Essence of Black Hat – Collaboration with Partners
Aditya Raghavan · 2026-06-15 · via Security @ Cisco Blogs

As is tradition at every Black Hat conference, Day 1 winds down with a quick reality check – what’s done, what’s broken, and what absolutely needs to go live by tomorrow.

Despite a rough start with equipment delays, the foundation was solid. Corelight traffic and detections were already flowing into Cisco XDR using OCSF-based ingestion built at Black Hat Europe 2025Ivan Berlinson was refining those workflows and dashboards, pushing them toward production-grade quality.

That left an open challenge – and an opportunity. Could we bring in detections from Palo Alto Networks Cortex XSIAM?

The NOC leadership enabled Cisco and other partners to introduce additional pre-approved software and hardware solutions, enhancing our internal efficiency and expanding our visibility capabilities; however, Cisco is not the official provider for Extended Detection & Response, Security Event and Incident Management, Firewall, Network Detection & Response or Collaboration.

Starting from Zero (Almost)

The goal Ivan set was deceptively simple:

“See if you can query and ingest analytics alerts from XSIAM into XDR.”

BH Asia 2026 EOBH starting form zero almost

My starting point came from a collaborative Slack post from our friends at Palo Alto Networks, prompted by our SOC leader, who wanted to have visibility into the Endpoint data on critical assets.

I dove into the APIs and started experimenting in Postman. Initial results were…inconsistent. But a quick live discussion with the experts from Palo Alto Networks changed everything – they suggested a more effective query structure, and suddenly we had a way forward.

That’s the lesson Black Hat reinforces every time:

Progress accelerates when you ask the right person the right question.

From Data to Pipeline

Once the data started flowing, the next step was building the ingestion pipeline in Cisco XDR Automate. This is where Aditya Sankar stepped in. If APIs got the data, Aditya helped shape the workflow – clean structure, efficient execution, best practices and resolved breaks I would have taken much longer to figure out alone.

Out of the multiple detection types that XSIAM produces, the most relevant datasets at Black Hat were:

  • Behavioural analytics
  • Correlated alerts

We focused on these because they could be ingested as Network-type Custom Security Events. Even this decision was collaborative – balancing feasibility with impact.

Getting alerts was easy. Making them usable turned out to tedious.

Several challenges emerged:

  • Timestamp mismatch
    XSIAM outputs Unix epoch time, while Cisco XDR requires RFC3339.
  • Action context (allowed vs blocked)
    Critical for threat hunters – but buried in raw data.
  • Traffic directionality
    Essential for Asset mapping and Graph visualization

Fortunately, Ivan had already built an atomic action to handle this – taking IPs, zones, and interfaces as input and returning directionality. A perfect example of reusable engineering enabling speed.

The Push to the Finish Line

By mid-day, I had my first alert flowing into the workflow!

It wasn’t perfect – but it worked.

Ivan’s response was encouraging, but grounded:

“Good start. Now you have to make it ready to be ingested.”

That meant:

  • Structuring data for the Data Analytics Platform (DAP)
  • Aligning with ingestion schemas
  • Eliminating edge-case failures

And then came the daunting challenge:

“So, I expect a Detection in the Detections page before you go to sleep tonight.”

22:30 – Done

Guess what, at 10:30 PM, the workflow was complete.

End-to-end. Functional. Producing detections in XDR. No shortcuts, no placeholders.

workflow for ingesting

Ivan was right! I didn’t sleep until it was done. And it was absolutely worth it!

Making it Production-Ready and Usable for Threat Hunters

The next day, Ivan took the workflow further:

  • Refactored inefficient steps
  • Converted logic steps into reusable atomic actions
  • Hardened it against real-world edge cases seen at past events

What emerged was a clean, modular, and scalable workflow:

Fetch XSIAM data → Parse → Transform → Ingest into Cisco XDR

The real validation came from the threat hunters.

A correlated incident combining:

  • Corelight OpenNDR detections
  • XSIAM analytics alerts (via this workflow)
Corelight OpenNDR detections
XSIAM analytics alerts

Two different platforms. One unified investigation.

That’s the outcome this entire effort was driving toward. Black Hat isn’t just about tools or technology. It’s about engineers, partners, and ideas coming together – solving problems in real time, under pressure, and learning from each other in the process.

But the best part? Not building it.

Watching someone else use it – and realizing it matters.

US:
https://xdr.us.security.cisco.com/automate/exchange/install/02VOS757W5M8E2FKM02kGVdBT9k8pMqpY0B

EU:
https://xdr.eu.security.cisco.com/automate/exchange/install/02VOS757W5M8E2FKM02kGVdBT9k8pMqpY0B

APJC:
https://xdr.apjc.security.cisco.com/automate/exchange/install/02VOS757W5M8E2FKM02kGVdBT9k8pMqpY0B

Do try it out yourself. Check out the other blogs from our team at Black Hat Asia 2026.

About Black Hat

Black Hat is the cybersecurity industry’s most established and in-depth security event series. Founded in 1997, these annual, multi-day events provide attendees with the latest in cybersecurity research, development, and trends. Driven by the needs of the community, Black Hat events showcase content directly from the community through Briefings presentations, Trainings courses, Summits, and more. As the event series where all career levels and academic disciplines convene to collaborate, network, and discuss the cybersecurity topics that matter most to them, attendees can find Black Hat events in the United States, Canada, Europe, Middle East and Africa, and Asia. For more information, please visit www.Black Hat.com.


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