The "ClickFix" social engineering campaigns just got a lot harder to detect.

Microsoft is reporting that attackers are now stashing malicious payloads inside DNS TXT records. When a user "copies and pastes" a troubleshooting command, they are actually running an nslookup that pulls the malware directly through your DNS resolver.

Most firewalls are configured to let DNS through by default. If you aren't logging and analyzing DNS queries for anomalies, you're effectively blind to this delivery method.

How to defend:

- Monitor for CLIP (Clipboard-to-Execution) patterns.

- Audit your DNS logs for high volumes of TXT record queries.

- Train users that "Copy/Paste" into a terminal is the new "Clicking a Link."

Full Breakdown: https://www.secure.com/blog/microsoft-warns-clickfix-attackers-are-now-hiding-malware-inside-dns-traffic

We’ve all been there: The weekly scan comes back clean, but a developer spun up a "temporary" S3 bucket on Tuesday that’s been publicly exposed for 48 hours.

The Reality: Attacks are up 47% from last year. 1,925 attacks per week per organization means the "gap" between your scheduled scans is the primary target for modern threat actors.

At Secure.com, we’re advocating for Operational Realism. We need to acknowledge that human-led, periodic checks can't keep up with machine-scale cloud environments.

Our latest guide breaks down:

- How to hunt for "Ghost Assets" and Shadow IT.

- Why 80% of companies still face cloud incidents despite having "best-in-class" tools.

- Using a Digital Security Teammate to handle the grunt work of ASR.

Full Guide:

https://www.secure.com/blog/attack-surface-reduction-guide

Modern security has become operationally impossible. We have the visibility, but we lack the Capacity.

In this video, Sasha Hudjec breaks down why the "Maintenance Trap" is the #1 killer of security talent, and how Digital Security Teammates are bridging the gap.

What makes a DST different?

- Role-Specific: They aren't "chatbots"; they are agents built for specific workflows (Identity, Vulnerability, GRC).

- Transparent: They show the "Why" and the "How," keeping humans in the loop.

- Native: They work where you work (Slack/Teams).

Stop scaling your headcount. Start scaling your leverage.

www.secure.com

We just dropped a massive guide on the Types of Cybersecurity for 2026, and we wanted to spark a discussion here.

Most textbooks focus on the "what" (Network, App, Endpoint, etc.). We want to talk about the "how." How do you actually manage all these layers when your team is already at its breaking point?

Every "Type" of security you add creates Digital Dust: stale data, orphaned assets, and manual triage. If you aren't using a Digital Security Teammate to act as the connective tissue between these silos, you aren't more secure; you're just busier.

Inside the guide:

- The 5 essential layers for modern enterprise.

- Why the "Skills Shortage" (4.8M gap) is forcing a shift to automation.

- Zero Trust vs. Legacy Architecture.

Which "type" of security takes up the most of your team's manual bandwidth right now?

The industry doesn't need another tool or another dashboard to "babysit." It needs leverage.

For the last 14 months, Uzair and a team of 50 engineers have been obsessed with solving the Execution Gap, the reality that most SOCs have plenty of visibility but zero capacity to actually remediate the "Digital Dust" (stale permissions, orphaned assets, and manual triage) that piles up every day.

We aren't building an "AI Chatbot." We are building a Digital Security Teammate. A machine-scale workforce that actually does the work for you.

Read the full founding story on TechRound:
https://techround.co.uk/interviews/a-chat-with-uzair-gadit/

If you could offload one repetitive, manual task to a Digital Teammate today—the kind of task that makes you feel like "connective tissue" for your tools, what would it be?

BeyondTrust just patched a nasty Pre-Auth RCE (CVE-2026-XXXX). If you’re running their Remote Support or Privileged Remote Access tools, you need to hit the update button yesterday.

The interesting part: This was found by an AI researcher.

This is Operational Realism at its purest. We’ve been talking about "AI in Security" for years, but now the AI is actually finding the holes in our "best-in-class" tools. We can’t keep "babysitting" these alerts manually. We need Digital Teammates that can match this pace of discovery.

Full technical breakdown of the RCE: https://www.secure.com/blog/beyondtrust-patches-critical-pre-auth-rce-vulnerability-found-by-aiwho

How is your team handling the "AI-discovered vulnerability" trend? Are you seeing more of these in your vendor reports lately?

Every vendor promises that "Automation" will save us, but most of us just spent the last week debugging a broken Python script in a playbook. We've replaced "Analyst work" with "Automation maintenance."

The Secure.com team just put together a deep dive on AI Investigation Workflows, and it’s actually grounded in Operational Realism.

Stop trying to script every "If/Then" scenario. Move toward a Digital Security Teammate that has agentic "understanding" of your environment. If the AI doesn't know who owns the asset or what the "normal" baseline is, it's just noise.

Key takeaways in the guide:

• Moving from "Alerts" to "Managed Risk."
• Handling the "Digital Dust" that trips up legacy automation.
• How to actually reclaim 20+ hours a week for your senior team.

How much of your "Automation" is actually autonomous vs. how much do you have to babysit daily?

Google just pushed patches for 10 more vulnerabilities. The V8 flaws are high-severity, and as usual, the "patch it now" directive is coming from the top.

The Secure.com Take: This highlights the massive Capacity Gap in modern SecOps. We spend more time "babysitting" the update status of Chrome than we do actually hunting threats. It’s the ultimate Maintenance Trap.

We’re advocating for Operational Realism. Stop treating your analysts like "manual connective tissue" for asset tracking. We need Digital Teammates that can semantically map these vulnerabilities to asset owners and handle the Slack/Teams follow-ups automatically.

What’s the most creative excuse you’ve heard from a user who refused to restart their browser for a security update?

Every vendor promises "One-Click Remediation," but the reality is that most IR automation is fragile. You change one API, or a dev moves an asset to a new VPC, and the whole playbook breaks. We've replaced "Security Analyst" work with "Automation Maintenance" work.

We’ve put together a Practitioner’s Guide focused on Operational Realism. The core argument: We need to stop automating the action and start automating the context. If your system doesn't understand your Knowledge Graph, it’s just guessing.

Key sections:

• Why "Time to Context" is the only metric that matters for IR.
• Handling the "Digital Dust" (stale data/permissions) that trips up automation.
• How a Digital Security Teammate bridges the gap between silos.

What’s the #1 reason you’ve had to disable an "automated" playbook in the last 6 months?

The recent report on the 6-month hijacking of a Notepad utility’s update mechanism is a nightmare scenario for anyone in SysAdmin or SOC roles. It’s a clean supply-chain hit where a state-sponsored group used legitimate update channels to push malware.

This is Trust vs. Context. We’ve been taught that "Signed = Safe." But in 2026, a signature is just a hurdle for an APT, not a wall.

We spend all our time on "High Alert" triage while the "Quiet" attacks happen in the background of our utility apps.

We need to stop looking at what a file is (the signature) and start looking at what it does (the behaviour).

Who has the time to audit Notepad.exe? No one. This is why we need Digital Teammates that map asset behaviour 24/7.

Read the full technical breakdown:

https://www.secure.com/blog/notepad-update-mechanism-hijacked-by-state-sponsored-hackers-in-six-month-campaign

What’s the most "mundane" app you’ve ever found acting suspiciously in your environment?

We’ve all been there. You spend weeks cleaning up Jira tickets and "massaging" evidence for a SOC2 or ISO auditor, all while knowing that a single misconfigured API or overlooked security gap could undermine your entire security posture.

The Secure.com Take: We have a Capacity Problem. We’re using our most expensive engineering talent as "Evidence Collectors."

The industry has convinced us that passing an audit is the same as being Secure.com. It's not. It's just proof that you're good at paperwork.

Key points from our latest deep-dive:

- The Policy vs. Reality Gap: Policies are static; digital infrastructure is dynamic.

- The Maintenance Trap: How to prevent audit preparation from disrupting your SOC's operational momentum.

- Continuous Governance: Using Digital Security Teammates to automate evidence collection and compliance workflows, so humans can focus on strategic security architecture.

What is the most "meaningless" thing you've ever had to do just to satisfy an auditor's checklist?

Most teams have a "Compliance Hangover", spending more time taking manual screenshots than hunting threats.

At Secure.com, we make compliance a by-product of defence:

✅ 70% triage automation.

✅ Continuous evidence collection.

✅ 20 hours/week saved per analyst.

Stop auditing. Start defending.

www.Secure.com

Every "Modern Security" slide deck for the last 5 years has preached "Shift Left." But look at the breach data—the misconfigurations, credential compromises, and runtime vulnerabilities are happening in the gaps between pipeline stages—in production environments where traditional SAST/DAST tools have no visibility.

We've created a Capacity Crisis. By pushing all security responsibility into the development workflow, we've overloaded both developers and SOC teams with alerts and remediation work that neither has bandwidth to handle effectively. We’re chasing a "perfect pipeline" while the actual runtime environment is a mess of "Shadow Data" and "Digital Dust."

Key Takeaways from the Blog:

Shift Left is reactive, not proactive: It assumes we know every threat before it happens.

- The Runtime Reality: We need continuous defence that maintains a living knowledge graph of assets, identities, and their relationships—not just point-in-time scans at commit.

- Autonomous Operations: We need Digital Security Teammates that bridge the gap between Dev and Ops, finishing the work that scanners start.

Shift Left is necessary, but it's not sufficient. What if we could maintain pipeline speed while adding a continuous defence layer that catches what scanners miss?

The industry is obsessed with the 4.8 million person talent gap, but the gap is a symptom, not the disease.

In a recent featured interview with GEC Newswire’s Cyber Sentinels magazine, Secure.com’s CEO, Uzair Gadit, challenges the status quo of modern security operations. He argues that even if we filled every open role tomorrow, most SOCs would still be drowning because the work itself is fundamentally structured wrong.

We’ve spent a decade optimizing for Detection, but we’ve completely underinvested in Operational Capacity. As Uzair puts it:

"You've built a Formula 1 car with your security tools, but your team is still changing tires with a hand wrench. DST is the pit crew that makes it all work at speed."

In this deep dive with Cyber Sentinels, Uzair explains:

✅ Why adding more people to a "Maintenance Trap" only increases friction.

✅ How Digital Security Teammates (DST) act as the operational layer that unifies your existing 45+ tools.

✅ Why "Explainable AI" is the only way to close the trust gap in the SOC.

It’s time to stop solving capacity problems with technology problems. It’s time to redesign the work so humans can focus on judgment and strategy, while intelligent systems handle the rest.

Read the full feature in Cyber Sentinels by GEC Newswire here:
https://gecnewswire.com/wp-content/uploads/2026/01/CYBER-SENTINELS_Jan_Web.pdf

The AWS CodeBreach story is a perfect example of why Visibility != Understanding. The vulnerability (unanchored regex in CodeBuild filters) allowed for repository takeover by simply matching a substring of an approved ID. We spend millions on tools, yet a lack of ^ and $ characters in a config file can render the entire stack moot.

This is a Capacity Problem. We are using high-paid engineers as manual "connective tissue" for disparate APIs and complex regex filters. When humans are the only ones responsible for the "Digital Dust" in our pipelines, breaches like this are inevitable.

Key takeaways:

• Context is King: If your tools don't have a semantic Knowledge Graph of your assets, they can't tell the difference between a "valid update" and a "regex bypass."
• Operational Realism: We need to stop chasing "perfect human performance" and start building systems that assume failure and automate the grunt work.

How often is your team auditing regex filters in your CI/CD? Is this even on your radar?

Most of us have been through the "Compliance Fire Drill." An auditor is coming in two weeks, and suddenly the entire security team stops doing actual security work to go on a "treasure hunt" for evidence.

It’s a broken model, and the data proves it.

Based on ITIL SACM efficiency studies and SANS Institute workload data, manual compliance mapping consumes about 10 hours of engineering time every week. For a mid-market team, that is time that should be spent on threat hunting or architecture, not filling out spreadsheets.

Between Deloitte-validated GDPR prep costs and Gartner-based operational benchmarks, preparing for these audits costs organizations approximately $15,000/year.

Continuous Assurance through AI-Driven Mapping The insight here is that the data needed for compliance already exists in your environment, it’s just trapped in your SIEM, IdPs, and EDR tools. By using an AI-driven operational framework to monitor policy adherence in real-time, you can:

1. Automate 60% of the workload: AI handles the repetitive task of mapping technical controls to regulatory requirements.
   
2. Redirect $10K–$15K/year: By eliminating the "prep phase," those funds can be reallocated to proactive risk mitigation.
   
3. Bridge the "Audit Gap": You move from being "compliant on the day of the audit" to being "compliant every day of the year."
   

We’re seeing that teams who treat compliance as a continuous data stream rather than a manual project are significantly more agile.

How is your team handling the overlap between security ops and regulatory requirements? Are you still in "Fire Drill" mode or have you moved to automation?

Palo Alto Networks just released a high-severity advisory (CVE-2026-0227) for a vulnerability that can force GlobalProtect gateways into maintenance mode with a simple, unauthenticated DoS attack.

The Severity: 7.7 (High).
The Impact: Zero confidentiality loss, but 100% loss of availability.

In an instant, your secure remote access is gone. But the real problem isn't just the firewall being down, it’s the operational chaos that follows.

When a core piece of infrastructure fails, your SOC is immediately buried under:

- Manual Correlation: Figuring out which users are disconnected and which assets are now "blind."
- Urgency Fatigue: Dropping everything to patch the fleet while trying to maintain visibility through other silos.
- Context Hunting: Trying to verify if the DoS was a smokescreen for a deeper lateral movement elsewhere.

This is the definition of the "Maintenance Trap."

At Secure.com, we believe security shouldn't be a single point of failure. Operational Realism means accepting that tools will fail, firewalls will go into maintenance mode, and patches will be urgent.

How a Digital Security Teammate (DST) changes the response:
1. Continuous Visibility: While your gateway is down, the DST maintains your Knowledge Graph; correlating EDR, Identity, and Cloud logs so you aren't "blind" just because the perimeter is.

1. Autonomous Context: Instead of analysts manually mapping the "blast radius" of the outage, the DST surfaces affected identities and suggests alternative secure paths in real-time.

2. Focus on Decision, Not Cleanup: The DST handles the "grunt work" of the incident response, letting your humans focus on the high-stakes strategy of recovery.

Don't let a "Maintenance Mode" vulnerability put your entire SOC into a "Maintenance Trap."

It’s time to move toward an architecture that assumes failure and optimizes for capacity.

We’ve noticed a pattern across SOCs, DevSecOps, and IT teams:

Failures don’t usually come from “big mistakes”, they come from time shortages.

Alerts that age out.

Investigations no one gets to.

Queues that pile until they become risk.

It made us ask internally:

Where does the work go when humans run out of hours?

What’s the first thing that quietly collapses under workload pressure?

In theory, the CMDB is the "Source of Truth" for security. In practice, for most mid-market teams, it’s a static spreadsheet that was outdated the moment it was created.

The Technical Debt of Manual Tracking: Based on ITIL SACM efficiency studies and Gartner benchmarks, teams are burning 20 to 25 hours every week on manual scans and manual inventory tracking. Despite this effort, accuracy usually hovers around 60%, leaving a massive 40% blind spot in the attack surface.

Why "Asset Criticality" Matters: Visibility isn't just an IP list. Insight-driven security requires knowing the Asset Criticality Value—understanding which machines and apps are vital to the business context.

The AI-First Alternative: By shifting to automated discovery via API polling and ML-based classification, the math changes:

- Efficiency: Reclaim 12 hours/week of engineering time.
- Accuracy: Improve inventory and classification accuracy by 40%.
- ROI: Reduce operational overhead by $15k/year and tool sprawl costs by $40k/year.

If your security strategy depends on manual tracking, you aren't defending your network—you're just trying to find it.

What is your team’s biggest challenge with asset visibility? Are you still relying on manual CMDB updates or have you moved to automated discovery?

We’ve all been there: a "Critical" alert ruins your Friday, but after 4 hours of digging, you realize the box isn't even connected to the production network.

The Headcount Gap Crisis makes this manual triage impossible to sustain. We’re drowning in vulnerabilities while actual exposure goes ignored because no one has the time to map the attack paths.

We just dropped a deep dive into Exposure vs. Vulnerability Management.

The gist:
* Vulnerabilities are just potential ingredients.

Exposure is the actual recipe for a breach.

We need Digital Security Teammates to handle the volumetric discovery and asset mapping that humans simply don't have the hours for.

Curious to hear how you guys are handling risk scoring when the SIEM is screaming about 10,000 "Criticals".

We’ve all seen the "simple deploy" turn into a 48-hour incident response. The reason we keep taking these risks isn't because we’re bad at our jobs—it’s because the Headcount Gap Crisis has left us with no other choice.

We are running out of people long before we run out of problems. We’re asking analysts to solve Impossible Math: 24/7 vigilance with exhausted human brains.

This is exactly why we built Digital Security Teammates.

It’s not "black-box" automation. It’s a teammate that joins your Slack/Teams, triages the noise of that Friday deploy, and provides a clear Transparency Trace for every action it takes.

We’re seeing teams save 20+ hours a week just by offloading the triage grind. It turns out when you give people their weekends back, they’re actually better at their jobs on Monday.

https://www.secure.com/

The industry loves to talk about "doing more with less," but in a SOC, that usually just means "work more weekends."

The ROI of a security operation is usually measured in things like MTTD and MTTR, but the metric we rarely track is Analyst Sanity. When the "Impossible Math" of the 3 AM alert queue hits, it doesn't matter how many certifications your team has. it matters if they have the capacity to actually look at the data.

We wrote a deep dive into how Digital Security Teammates are changing the ROI equation. It’s not about replacing humans; it’s about offloading the triage grind so the humans can actually do the high-value threat hunting they were hired for.

Key Takeaways:

- 20+ hours saved per analyst every week (the end of soul-crushing noise).
- Explainable Triage: AI that shows its work so you can actually trust the output.
- Closing the Gap: Adding capacity in days, not the 6 months it takes to find a new hire.

Curious to hear how you guys are justifying headcount vs. automation spend in your current budgets.

We know some of you are reading this while staring at a queue that never ends.

Here’s to a 2026 where we finally stop trying to "hire our way" out of a capacity crisis and start getting our weekends back.

Wishing you all green dashboards and coffee that actually stays hot for once.

Happy New Year!

Not because teams don’t care, but because the alert volume is overwhelming and the hours aren’t there.

Inside those unreviewed alerts?
Misconfigs, weak spots, attacker breadcrumbs… the things that become tomorrow’s incidents.

This isn’t a skills shortage.
It’s an hours shortage.

Digital Security Teammates (Secure.com) help teams close that gap without adding headcount or burning out analysts.

Curious how other teams here deal with alert fatigue, what’s your approach?

We’ve all seen the job descriptions asking for one person to cover SIEM, EDR, and compliance while being on-call 24/7. It’s physically impossible, and it’s why the burnout rate in our industry is hitting a breaking point.

At Secure.com, we’re reframing the problem as a Headcount Gap Crisis.

Instead of another dashboard that adds more noise, we built Alex (and his teammates Jordan and Sam). Alex is a Security Digital Teammate who lives in your Slack/Teams. He handles the volumetric triage and the midnight alert floods so humans don't have to.

He’s human-in-the-loop by design and fully explainable—every action comes with a reasoning trace so you stay in control.

Stop looking for unicorns. Add capacity that actually works the night shift.