Axellio Inc.

08/31/2026

Every model is only as trustworthy as the it learns from — and most organizations are quietly starving their models by feeding them summaries instead of the real thing.

In our latest blog post, we break down why pre-processed and flow records strip out the very anomalies AI needs to learn from ("Anomalies, by definition, don't fit that model"), why raw data preserves the optionality to ask new questions when threats emerge, and how the split between training and production inference data quietly degrades model performance over time.

The fix isn't hoarding everything forever at hot-storage prices, it's a tiered hot/warm/cold architecture that makes petabyte-scale raw data retention practical.

Read the full breakdown:

Learn how petabyte-scale mission data management, tiered storage, and native replay improve ISR, cybersecurity, and defense operations while reducing costs.

08/27/2026

Ripping out your existing security stack to get better packet visibility isn't realistic — and with PacketXpress, it isn't necessary.

Suricata. Zeek. tcpdump. tshark. Your custom tools. PacketXpress feeds each one its own dedicated memory ring, delivering standard PCAP headers and normal drop counters. From your tools' perspective, nothing changed. No recompiling. No API changes. No plugins. No reconfiguration.

Same tools. Smarter data. Zero disruption.

See how the compatibility works in our infographic: https://na2.hubs.ly/H07jgyN0

08/25/2026

New data from IBM's 2026 Cost of a Data Breach Report: only 34% of organizations have visibility into their own cryptographic assets. One in four malicious breaches are now AI-enabled, up 56% year-over-year, averaging $6M in damages, with critical infrastructure sectors like financial services and energy bearing the brunt.

The pattern is consistent: organizations aren't losing to more sophisticated attackers alone, they're losing because they can't see what's happening on their own networks until it's too late.

Check it out: https://na2.hubs.ly/H07jpmR0

IBM’s global Cost of a Data Breach Report 2026 provides up-to-date insights into cybersecurity data breaches and their financial impacts on organizations.

08/24/2026

Cyberattacks are getting faster. Detection isn't keeping up.

In 2021, it took attackers about 9 days to pull data out of a compromised cloud environment. Today, it can take under 30 minutes, while the average breach still goes undetected for 219 days.

Encryption, high-speed networks, and fragmented cloud/on-prem environments have opened up blind spots that traditional monitoring tools can't cover. In our latest blog post, we look at why full network visibility — not just alerts and metadata — is what closes that gap.

Check it out: https://na2.hubs.ly/H07jmmR0

Why SOC teams lose visibility into threats — and how full-fidelity packet capture closes the detection-to-response gap.

08/21/2026

🔍 More tools. More data. Still blind spots.

Today's security stacks are packed with sophisticated tech — yet most teams still can't see everything moving across their network. Uncorrelated alerts. Missed East-West traffic. Gaps attackers exploit.

The fix isn't more tools, it's total packet visibility.

See the full picture 👉 https://na2.hubs.ly/H075_CJ0

08/18/2026

Day one at AFCEA TechNet Augusta 2026! Axellio is set up at Table , come find us on the show floor.

We're excited to be back among the military and industry leaders shaping cyber electromagnetic activities and unified land operations. Stop by Table to see how our Xpress Platform captures, stores, and distributes network and RF data at 200+ Gbps.

Schedule a time to meet: https://na2.hubs.ly/H07gMrS0

08/18/2026

Axellio is on the ground this week at AFCEA TechNet Augusta 2026 (August 17–20, Augusta, GA) — connecting with military and industry leaders driving cyber electromagnetic activities and unified land operations forward.

Our CEO, Scott Aken, is at the event meeting with partners and mission owners to talk about how Axellio's Xpress Platform helps the DoD capture, store, and act on network and RF data at speeds over 200 Gbps: from full-fidelity PacketXpress network forensics to SensorXpress spectrum monitoring built for the tactical edge.

If you're at TechNet this week, stop by and say hello, we'd love to connect.

Schedule a time to meet: https://na2.hubs.ly/H07dDFT0

08/17/2026

📍 Day 1 at !

Axellio is on the ground in Augusta, GA, connecting with the warfighter, cyber, and C2 community all week. Come see how PacketXpress delivers total network visibility at 100+ Gbps — no dropped packets, no blind spots.

📌 Booth — stop by and say hello!

Schedule a time to meet:https://na2.hubs.ly/H075_Lm0

08/14/2026

Your SOC didn't just install Suricata & Zeek — you tuned them, built dashboards, trained analysts to trust them. That's why "rip and replace" upgrades feel too risky.

PacketXpress upgrades what's underneath. Nothing on top changes.


https://na2.hubs.ly/H06_jJb0

08/13/2026

New industry data confirms the theory: AI's biggest bottleneck isn't the model. It's the data underneath it.

BARC's Data, BI and Analytics Trend Monitor 2026 surveyed 1,579 organizations, and data quality management reclaimed the #1 spot as their top AI challenge, ahead of every other priority.

The report's finding is blunt: "the industry is moving past the assumption that better algorithms can compensate for weak foundations." Hallucinations, bias, and faulty recommendations trace back to noisy, incomplete, or poorly governed data — not architecture.

We'd take it one step further: quality starts with retention. You can't govern, clean, or learn from data you never kept in raw form in the first place.

Worth the read → https://na2.hubs.ly/H06X0HW0

In 2026, the success of AI hinges on high-quality data, as poor data can lead to biased predictions and faulty recommendations. As highlighted by BARC's Trend Monitor, organizations must prioritize data quality management to ensure reliable AI outputs and maintain trust in AI-driven decisions.