How to demonstrate the value of security investment to management?

In today's wave of digital transformation, enterprises face not only a surging volume of cyber threats but also increasingly sophisticated attack methods. From supply chain attacks to advanced persistent threats (APTs), and emerging AI-driven attacks, every type of threat has the potential to deal a devastating blow to an enterprise.

As security decision-makers, we must not only address these technical challenges but also confront a thorny management puzzle: How to prove the value of security investments to management? Just as enterprises conduct rigorous performance stress tests and reliability verifications when purchasing critical business systems, security defense architectures also need systematic validation to prove their actual value. With the continuous deepening of compliance requirements such as MLPS 2.0 and the Cybersecurity Law, security validation is undergoing a fundamental shift from passive to proactive, and from periodic to continuous. This shift enables security teams to evaluate the effectiveness of existing security systems in real-world environments through controlled methods, thereby achieving precise control over the enterprise's overall security posture.

▌ Automated Security Validation: Coping with Current Challenges

Through years of security operations practice, we have observed a common phenomenon: many enterprises invest heavily in building defense-in-depth architectures such as firewalls, WAFs, and EDRs, yet in actual red-blue campaigns, red teams can still breach defenses within a relatively short period. Upon closer examination, the root cause is often not a lack of capability in individual security products, but rather that the overall defense architecture lacks regular and systematic validation and optimization. Traditional validation models rely too heavily on the experience of senior security engineers, which presents three significant problems:

1. Insufficient validation coverage: Limited by manpower, periodic validation is often only conducted on core systems, easily leading to defense blind spots.

2. Single validation perspective: Over-reliance on personal experience makes it difficult to systematically cover new attack techniques.

3. Slow response speed: The cycle from discovering an issue to completing the fix is too long, failing to adapt to a rapidly changing threat environment.

To address these challenges, automated security validation is gradually becoming an industry consensus. By systematizing expert experience and automating validation workflows, enterprises can build more efficient and reliable security defense architectures.

▌ Multi-dimensional Analysis of ROI

1. Team Efficiency Enhancement: From Tactical Support to Strategic Capability

The traditional view holds that the value of security teams is primarily reflected in handling daily alerts and incident responses. This perception greatly limits the development potential of security teams. Take a large internet enterprise as an example: after introducing automated validation, its security team, while maintaining original staffing levels, shifted 70% of its work focus to strategic initiatives such as security architecture optimization and threat intelligence analysis. This not only enhanced the team's professional capabilities but also helped the enterprise establish active defense capabilities.

1. Value Breakthrough in Systematic Validation

We often see scenarios where enterprises purchase expensive security equipment, but due to a lack of effective validation and tuning, these devices often operate at only 30% to 50% of their defensive capacity. Through continuous automated validation, enterprises can:

• Promptly discover blind spots and configuration defects in security policies

• Validate the collaborative efficacy between different security products

• Optimize alert rules to improve accuracy

• Establish a quantitative metric system for defense effectiveness

1. Reduce External Dependence, Cultivate Endogenous Capabilities

Many enterprises are accustomed to spending a significant budget every year hiring external teams for penetration testing, which is not only costly but also presents two fundamental issues:

• Poor timeliness: External assessments conducted once a year or half-yearly cannot reflect dynamically changing security conditions

• Knowledge gap: Discovered issues get fixed, but the experience and methodology are not retained within the enterprise

By establishing automated validation capabilities, enterprises can convert these external expenditures into internal capacity building, achieving a better return on investment.

▌ Challenges and Mitigation Strategies in Implementation

In advancing automated security validation, the greatest resistance is often not technical but stems from internal organizational concerns. Even if the validation platform itself has undergone rigorous security design, executing simulated attacks in production environments still triggers concern from business departments. In response, we suggest adopting a "minimally invasive surgery" style implementation strategy:

• Select non-core systems with high risk tolerance as pilot projects

• Integrate automated validation with red-blue adversarial drills to demonstrate effectiveness in controlled environments

• Establish detailed validation workflows and emergency response plans to ensure validation activities are controllable and traceable

• Gradually expand the scope and depth of validation driven by data

▌ Budget Planning Methodology

Traditional security budgets are often allocated by product categories, which easily leads to the issue of "heavy construction, light validation." We recommend dividing the security construction budget into three levels:

1. Basic Protection Layer: Includes traditional security products and tools

2. Detection & Response Layer: Includes SOC, threat detection, etc.

3. Validation & Optimization Layer: Includes automated validation platforms, red-blue campaigns, etc.

Take a financial institution as an example: by investing 15% of its security budget into the validation and optimization layer, the institution shortened its average response time to security incidents by 60% and major vulnerability remediation cycles by 40% within two years, demonstrating the leverage effect of validation investment.

▌ Other Key Influencing Factors

When evaluating security validation investments, besides direct ROI, there are two easily overlooked but equally important factors that security managers should ponder deeply.

▌ Synergistic Effects of Security Operations

In traditional security operations, red teams, blue teams, and SOCs are often disconnected. Take a manufacturing enterprise as an example: its red team conducts adversarial drills quarterly and delivers a report after identifying numerous issues, but due to a lack of continuous validation and timely feedback, similar issues often reappear by the time of the next drill. This "campaign-style" security validation is not only inefficient but also easily leaves different teams stuck fighting in silos. By establishing a normalized validation mechanism, we have observed a qualitative shift in security operations:

• Red teams are no longer confined to periodic penetration tests and can continuously collect attack-defense data to optimize attack capabilities;

• Blue teams can obtain timely validation feedback and constantly adjust defensive strategies;

• SOCs can enhance alert quality and reduce false positives based on real-world attack-defense data.

This virtuous cycle brings the collaboration of the entire security team closer together and makes decision-making more precise.

▌ Talent Dilemma and Capability Building

Looking at the current state of the domestic security industry, an undeniable reality is that the supply of high-level security talent falls far short of growing demand. Many enterprises face an awkward situation: they invest heavily in advanced security equipment, yet due to a lack of professional talent, they cannot fully unleash its value. The security head of an internet enterprise once admitted frankly: "It's not that we lack security tools, but rather we lack people who can truly utilize these tools well." This problem becomes particularly prominent when conducting security validation. High-level penetration testing engineers are often extremely hard to come by, and relying solely on external consultants is not only expensive but also fails to establish the enterprise's own security capabilities. In this context, systematizing expert experience and automating validation workflows becomes exceptionally important. This is not simple tool substitution, but rather helps enterprises break through talent bottlenecks and build sustainable security capabilities through process re-engineering and knowledge accumulation. A worthy case study is a fintech enterprise that established a standardized validation architecture, enabling junior security engineers to independently complete most validation work within 3 to 6 months. This rapid capability uplift not only reduced dependency on senior talent but, more importantly, allowed the enterprise to build its own security talent echelon.

▌ Conclusion

As corporate security heads, we need to step out of a purely technical mindset and think about security construction from a business value perspective. Automated security validation is precisely the vital bridge connecting technology with value; it helps us speak with data and prove value with results. More importantly, in promoting automated validation, security teams should participate more in upstream stages such as business requirement analysis and architecture design. Only by deeply understanding business demands can we design validation plans that are both secure and practical, allowing security to truly become an accelerator for business innovation rather than a stumbling block.