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Before yesterdayBlack Hills Information Security

Core Skills in the Age of AI

5 November 2026 at 16:04

One of the biggest questions I get whenever Iโ€™m teaching anything focused on core skillsโ€”whether itโ€™s network security, SOC analysis, or ecurity essentialsโ€”is whether any of these classes are even necessary anymore because of AI.

The assumption seems to be that AI is going to eliminate the need for foundational knowledge. People believe that AI will simply handle the technical details for us, allowing security professionals to skip over the basics and move directly to the advanced work.

Unfortunately, that assumption creates a sense of hopelessness.

Junior analysts who are trying to enter the field start wondering whether itโ€™s worth studying at all. Companies looking to hire are hesitant because theyโ€™re not sure what the workforce will look like in a few years. Everyone is waiting to see where things land.

Context Is Everything

When it comes to core information security skills, I believe we need to recognize something important:

The fundamentals matter more today than they ever have.

The reason is context.

The more context and understanding you have about a technical problem, the more effective AI becomes. Artificial intelligence is not a replacement for expertise. It amplifies expertise.

If you put AI in the hands of someone who doesnโ€™t understand networking, operating systems, or security fundamentals, the impact is often limited. They may get answers faster, but they have no way to evaluate whether those answers are correct.

Put the same tools in the hands of someone who understands TCP/IP, operating systems, network architecture, authentication, and how systems actually work, and AI becomes an incredible force multiplier.

As we move into the future, it will become even more important for security professionals to understand the basics. Those foundational skills provide the context necessary to ask better questions, recognize bad answers, and effectively leverage increasingly powerful AI tools.

What Chess Can Teach Us

I also think we can look at chess as a preview of where our industry is heading.

Chess is more popular today than it has ever been. There are more strong chess players than at any other point in history. At the same time, AI engines can defeat even the worldโ€™s best players without breaking a sweat.

So why hasnโ€™t AI killed chess?

Because the chess community embraced it.

Players use AI engines like Stockfish to analyze games, identify mistakes, study openings, improve endgame strategy, and accelerate learning. Tournament organizers use AI to help detect cheating. Coaches use AI to provide insights that would have been impossible to deliver at scale just a few decades ago.

The result isnโ€™t fewer chess players. In fact, it is the opposite. The other result is better chess players.

Where Cybersecurity Is Heading

I believe cybersecurity is heading down a very similar path.

AI will help us learn faster. It will help us identify patterns more quickly. It will help us automate repetitive work and explore technical problems at a scale that wasnโ€™t previously possible.

But none of that eliminates the need for foundational knowledge.

In fact, it increases its importance.

The people who understand the fundamentals will be the ones who get the most value from AI. Theyโ€™ll be able to guide it, challenge it, verify it, and use it to solve increasingly complex problems.

The future of cybersecurity isnโ€™t humans versus AI.
Itโ€™s humans with strong fundamentals using AI to become dramatically more effective than ever before.

Check out Johnโ€™s Antisyphon courses (including Pay-What-You-Can options!) here:

antisyphontraining.com/instructor/john-strand/

Detection Engineering: Stop Drowning in Alerts and Start Catching Bad Guys

22 October 2026 at 16:09

Detection engineering is both a role and an activity. Itโ€™s the discipline of building and maintaining the logic that identifies malicious or risky behavior within your organization. Itโ€™s where security analysis meets software engineering, turning raw logs and telemetry into actionable detections that defenders can rely on.

Detection engineers bridge the gaps between security operations, threat intelligence, and infrastructure. They understand how attackers operate, how defenders respond, and how systems generate the data that supports those detections. A well-built detection can mean the difference between an alert that matters and one that drowns in noise.

Precision and Recall: The Balancing Act

Every detection faces a trade-off between precision and recall.

Precision measures how much you can trust your alerts: of everything that fired, how much was actually malicious? High precision = fewer false positives = analysts trust the tool.

Recall measures how much youโ€™re catching: of everything malicious that happened, how much did you detect? High recall = fewer blind spots = threats donโ€™t slip through.

Detection engineering lives in the tension between the two: too much precision risks missing subtle threats; too much recall floods analysts with false positives. The goal is calibration through testing, iteration, and feedback.

Core Components of Detection Engineering

1. Scoping and Prioritization

Start with intent. What are you trying to detect, and why? Define the threats, behaviors, or assets that matter most, then align your work with frameworks such as MITRE ATT&CKยฎ. Evaluate risk and value to determine which detections provide the highest impact for the effort required. Prioritize based on business importance and available telemetry.

2. Data and Telemetry

Great detections rely on great data. Keep inventory of your logs. Validate that each contains the data you need. Normalize and enrich your logs so detections remain consistent across tools and environments. Understanding how logs are generated is essential to writing logic that fits your environment.

3. Detection Logic Development

This is where hypothesis meets code. Write queries or rules that detect behaviors, not just static indicators. Combine multiple approaches:

  • Signatures for known indicators of compromise (IoCs)
  • Behavioral logic for Tactics, Techniques, and Procedures (TTPs) and patterns
  • Anomaly models for statistical outliers

4. Testing and Validation

Use adversary emulations or frameworks like Atomic Red Team to verify that your detections actually fire and your logging is working. Measure quality through precision, recall, and additional factors like confidence (how certain you are itโ€™s malicious) and criticality (how severe the impact would be).

5. Deployment and Tuning

Monitor performance, including trigger frequency, false positive rates, and analyst response time. Detection engineering is iterative and ongoing, not โ€œwrite once and done.โ€

6. Documentation and Knowledge Transfer

Good detections come with context. Record what the detection looks for, why it matters, what data it uses, and how it was tested. Version control your rules using Git and promote collaboration so analysts, hunters, and engineers can learn from one another. Playbooks and detection libraries ensure institutional knowledge does not disappear when staff change roles.

7. Metrics and Continuous Improvement

Track measurable outcomes such as coverage across ATT&CKยฎ techniques, number of validated detections, false positive rates, and mean time to detect. Regularly retire stale detections, update ones that drift, and automate validation wherever possible. Detection-as-Code practices keep everything maintainable and scalable.

Building the Skillset

Detection engineering requires a strong foundation in logging, security tooling, and incident response. You should understand when itโ€™s best to detect, when to block, and how to use data sources effectively.

Whether youโ€™re building your first rule or managing hundreds, the mindset remains the same: test everything, learn constantly, and make each detection better than the last.

Get Started

Explore resources like:

detectionengineering.net and SigmaHQ.

Follow community leaders like:

Zack Allen (Detection Engineering Weekly) and Haider Dost (Threat Detection Maturity Framework).

Study detections and see how others approach logic design at:

research.splunk.com

Read:

Practical Threat Detection Engineering.

For more resources check out:

https://bit.ly/notlogic


The Art of the Badge: A Hard Truth About Physical Security

By: BHIS
10 June 2026 at 10:00

He walked into the lobby with a fake badge clipped to his shirt. He had bought it online the week before. It was not perfect, and it did not need to be. From a few feet away, it looked close enough: a logo, a name, a photo, and a lanyard. The kind of thing most people glance at for half a second before their brain decides, โ€œLooks fine.โ€

The post The Art of the Badge: A Hard Truth About Physical Security appeared first on Black Hills Information Security, Inc..

Introduction to Zeek Log Analysis

By: BHIS
13 January 2025 at 11:00

In this video, Troy Wojewoda discusses the intricacies of Zeek log analysis, focusing on how this network security monitoring system can be used to understand traffic and analyze logs effectively.

The post Introduction to Zeek Log Analysis appeared first on Black Hills Information Security, Inc..

Your Browser is Not a Safe Space

Corey Ham // Tl;drย ย  Use a password manager instead of browser storage for passwords, credit card numbers, and other autofill items. ย  Personal security: Do not save anything sensitive in [โ€ฆ]

The post Your Browser is Not a Safe Space appeared first on Black Hills Information Security, Inc..

The DNS over HTTPS (DoH) Mess

15 February 2022 at 14:36

Joff Thyer // I woke up this Monday morning thinking that itโ€™s about time I spent time looking at my Domain Name Service (DNS) configuration in my network. (This thought [โ€ฆ]

The post The DNS over HTTPS (DoH) Mess appeared first on Black Hills Information Security, Inc..

Tap Into Your Valuable DNS Data

By: BHIS
3 June 2019 at 11:21

Joff Thyer // The Domain Name System (DNS) is the single most important protocol on the Internet. The distributed architecture of DNS name servers and resolvers has resulted in a [โ€ฆ]

The post Tap Into Your Valuable DNS Data appeared first on Black Hills Information Security, Inc..

The RDP Through SSH Encyclopedia

By: BHIS
28 February 2019 at 11:20

Carrie Roberts //* I have needed to remind myself how to set up RDP access through an SSH connection so many times that Iโ€™ve decided to document it here for [โ€ฆ]

The post The RDP Through SSH Encyclopedia appeared first on Black Hills Information Security, Inc..

PODCAST: Sacred Cash Cow Tipping 2019

By: BHIS
15 January 2019 at 12:17

Yet again it is time for another edition of Sacred Cash Cow Tipping! Or, โ€œWhy do these endpoint security bypass techniques still work? Why?โ€ The goal of this is to [โ€ฆ]

The post PODCAST: Sacred Cash Cow Tipping 2019 appeared first on Black Hills Information Security, Inc..

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A Career in Information Security: FAQ (Part 2)

By: BHIS
1 October 2018 at 10:34

Staff// If you missed part one, you can get caught up here:ย www.blackhillsinfosec.com/a-career-in-information-security-faq-part-1/ Letโ€™s jump straight back in to the Q & A! 4)What are some of the college courses that [โ€ฆ]

The post A Career in Information Security: FAQ (Part 2) appeared first on Black Hills Information Security, Inc..

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