What Makes a Good EDR Product? Reflections from Conversations with Practitioners

Over the past few weeks, I published several reflective essays on my blog. To my surprise, they received a decent amount of engagement. The readership wasn’t massive, but it was enough to remind me that many people are deeply concerned about career development, cybersecurity, and the future of the industry.

Some readers even reached out and added me on WeChat. Since I currently have a bit more free time while preparing for exams, I enjoy these conversations. Each new connection brings a slightly different perspective. I often think of these encounters as a kind of serendipity.

Recently, I fed some of my older articles into an AI model for analysis. The feedback was interesting. It described my writing as empathetic and emotionally resonant, capable of creating a sense of connection with readers.

Wanting a more balanced assessment, I deliberately instructed the model to focus only on weaknesses.

Its criticism was straightforward:

Your writing tends to follow a stream-of-consciousness style. It is reflective, but often lacks strong arguments, clear positions, and deeper analytical conclusions.

The feedback felt surprisingly accurate.

Reflection is valuable, but if readers finish an article without understanding what the author actually believes, something may indeed be missing.

That observation inspired this essay.

Why This Topic?

For the past few years, a significant part of my work has been focused on endpoint security, particularly on improving cloud-based malware detection capabilities embedded within endpoint protection systems.

Naturally, this brought me into frequent contact with EDR technologies.

Recently, through discussions with several practitioners, I found myself thinking again about a question that seems simple but is surprisingly difficult to answer:

Why do some EDR products earn widespread respect while others struggle, despite receiving similar investments in talent and resources?

A Product’s Reputation Doesn’t Come from Marketing

Among security practitioners in China, one company is frequently mentioned when discussing EDR effectiveness: ThreatBook.

This observation doesn’t come from marketing materials. It comes from conversations.

Different professionals from different organizations repeatedly shared similar feedback:

• The product performs well during evaluations.
• Detection quality is relatively strong.
• Operational efficiency is good.
• Analysts generally have a positive experience using it.

When the same conclusions appear repeatedly from unrelated sources, it becomes difficult to ignore.

As someone who has watched the company evolve over the years — from early product launches to public case studies and customer feedback — I often find myself wondering:

Why are they succeeding where others struggle?

The Real Goal of EDR Is Surprisingly Simple

Many security products are surrounded by complex terminology.

Behavioral analytics.

Threat intelligence.

AI-driven detection.

Autonomous response.

Attack graph correlation.

These concepts are important, but they can sometimes distract us from the fundamental objective.

At its core, EDR has a simple mission:

Detect real security incidents.

Everything else is secondary.

If I had to summarize the ideal outcome, it would look something like this:

• Low operational cost
• Low false-positive rate
• High detection accuracy
• High confidence in real incidents

Or, put more simply:

Find the attacks that matter without overwhelming analysts with noise.

Anyone who has worked in detection engineering or security operations understands how difficult this balance is.

False positives are not just a technical problem.

They are an operational problem.

An analyst who receives thousands of low-value alerts every day eventually stops trusting the system.

Once that happens, even legitimate threats become easier to miss.

Technology Alone Is Not Enough

This leads to a realization that took me years to appreciate.

Building security products is not purely a technical challenge.

Technology is only part of the equation.

The other part is operational maturity.

An endpoint agent can collect telemetry.

A backend system can apply detection logic.

A threat intelligence platform can provide context.

But none of these components automatically create value.

Someone still needs to transform raw signals into meaningful outcomes.

In my view, successful EDR products often do a better job of embedding security expertise directly into the product itself.

They reduce the gap between what experienced analysts know and what ordinary users can effectively operate.

That is much harder than simply adding another detection rule.

Security Is a Long-Term Investment

One challenge I frequently observe is the tension between security and business reality.

Security capabilities rarely mature overnight.

Detection quality improves through years of data collection, tuning, validation, and operational feedback.

Unfortunately, business environments often reward short-term results.

A project that produces no visible outcome within six months may lose funding.

A new executive may prefer launching a new initiative rather than continuing a predecessor’s long-term strategy.

As a result, many organizations repeatedly restart instead of continuously improving.

The technical debt remains.

The accumulated experience is lost.

And the next team begins from scratch.

From this perspective, security is not merely a technology problem.

It is also an organizational problem.

Why Operations Matter

The longer I work in this field, the more I appreciate the importance of security operations.

Products are static.

Threats are dynamic.

A detection capability that works today may become ineffective six months later.

Continuous tuning, validation, and improvement are not optional.

They are part of the product.

At the same time, every improvement must be evaluated against reality.

Resources are finite.

Budgets are finite.

Analyst attention is finite.

This is where ROI becomes unavoidable.

The most effective security capability is not necessarily the most sophisticated one.

Often, it is the capability that produces meaningful risk reduction at a sustainable cost.

Looking Beyond Technology

Earlier this year, I interviewed for an EDR strategy operations role at ByteDance.

The experience reinforced another observation.

Large technology companies often have security requirements that differ significantly from those of smaller organizations.

Their assets are more valuable.

Their attack surface is larger.

The consequences of failure are more severe.

As a result, they can justify deeper investment in security engineering.

Security vendors, on the other hand, frequently build products for a broad market.

The needs of a multinational enterprise and a mid-sized company are rarely identical.

Applying the same solution to both environments often leads to disappointment.

Context matters.

Scale matters.

Expectations matter.

A Simple Conclusion

Security has always felt like a difficult profession.

Done well, much of its success remains invisible.

Failures, however, are immediately visible.

Perhaps that is why it often feels like a thankless job.

Yet after years of working in this field, I keep returning to a simple belief:

The goal of security is not to deploy the most impressive technology.

The goal is to solve real problems at a reasonable cost.

Good governance.

Effective operational processes.

Thoughtful controls.

Practical risk reduction.

These often matter more than the latest buzzwords.

As someone who has spent most of his career in vendor environments, I know my perspective has its limitations.

Lately, I’ve been trying to step outside that familiar viewpoint and see the industry from a broader angle.

So far, the experience has been worthwhile.

Sometimes, looking beyond our own corner of the world teaches us more than another technical paper ever could.