In sports betting, covering the spread isn’t about luck. The smartest bettors study the numbers, track injuries, watch trends, and place the right kinds of bets at the right times.
Cybersecurity works the same way. Your organization is constantly betting against the odds—betting that your controls, patches, and detections can keep you ahead of attackers. The question isn’t whether you should test your defenses, but how often and how deeply you should do it to “cover your spread” and avoid surprise losses.
This is where vulnerability scanning, automated penetration testing, and manual penetration testing come together as a coordinated game plan—not one-off gambles.
Think of your attack surface as the full season schedule and threat actors as an advantage player, trying to exploit every weakness. Every scan, assessment, or penetration test is a wager—a calculated move designed to measure your odds of staying ahead.
Different testing methods are like different kinds of bets in your playbook:
|
Testing Type |
Recommended Frequency |
Betting Analogy |
Coverage Depth |
Risk if Ignored |
|
Vulnerability Scan |
Daily / Weekly |
Moneyline – low risk, steady insight |
Broad surface coverage |
High (shallow, noisy insight) |
|
Automated Pen Test |
Monthly / Quarterly |
Point Spread – balanced risk and reward |
Moderate depth |
Moderate |
|
Manual Pen Test |
Quarterly / Annually |
Parlay – big payoff if timed and scoped well |
Deep, contextual |
High if too infrequent |
Here’s how they play together on your security scoreboard:
If you only rely on one kind of “bet,” you leave blind spots. A moneyline-only bettor ignores the value in spreads and props. A scan-only security program ignores how attackers actually move.
In betting, the spread reflects how much better one team is expected to be than the other. In cybersecurity, your “risk spread” is the gap between your last test and your current reality.
Every day that passes between assessments is like the clock ticking down in a tight game. New vulnerabilities appear, patches age, and your exposure gradually widens if you are not updating your view.
Conceptually, it looks like this:
|
Time Between Tests |
Avg. New Vulns per Asset |
Exploit Likelihood |
“Risk Spread” to Cover |
|
Daily |
~0.05 |
Very Low |
Tight — easily contained |
|
Weekly |
~0.35 |
Low |
Manageable with good hygiene |
|
Monthly |
1.5–2 |
Medium |
Starting to widen |
|
Quarterly |
6–8 |
High |
Attackers are gaining ground |
|
Yearly |
24–30+ |
Critical |
The house almost always wins |
If you are only running an annual penetration test, you are effectively betting that nothing critical will change for 12 months—a long shot in a world where new vulnerabilities, new assets, and new misconfigurations show up constantly.
The longer you go between tests, the more you concede the attacker points on the spread.
The Stats: How the Numbers Play Out
Let’s look at a simplified example of a mid-sized enterprise:
Over a year, this organization generates a huge volume of potential issues. Different testing methods surface those issues in very different ways:
|
Test Type |
Typical Annual Frequency |
Findings (Approx.) |
Overlap |
“Win Rate” (Practical Effectiveness) |
|
Vulnerability Scans |
365× |
100,000+ raw findings |
~40% duplicates |
~60% (high noise, broad coverage) |
|
Automated Pen Tests |
4× |
5,000 exploitable paths |
~20% overlap |
~80% (prioritized, actionable) |
|
Manual Pen Tests |
1–2× |
800 deep, contextual issues |
~5% overlap |
~95% (high impact, low noise) |
Each approach brings unique value:
Used together, they create a layered testing strategy that keeps your risk within tolerance and helps you stay ahead of the spread instead of constantly playing from behind.
Smart bettors do not dump their entire bankroll on a single parlay. They balance different bet types across a season. Your security testing strategy should work the same way: diversified, disciplined, and data-driven.
This is the equivalent of reviewing game film between matchups—fast, repeatable, and grounded in how the game is played.
These numbers tell you whether your testing program is shifting the odds—or just generating reports.
You would not use the same betting strategy for the preseason and the playoffs. Likewise, your testing cadence should shift when your environment changes. For example:
Events like these should trigger off-cycle testing—especially automated and manual penetration tests focused on the affected assets. If your average remediation time is longer than your testing cadence, you are effectively betting from behind and compounding your risk.
You can’t eliminate risk or perfectly predict every play, but you can stack the odds in your favor.
A winning security testing program combines:
Together, these give you a continuous picture of where you stand, which risks matter most, and how to invest your limited resources to stay within your risk tolerance—not just once a year, but all season long.
In any season, the teams that win consistently aren’t the ones taking wild, all-or-nothing shots—they’re the ones that understand the field, study the matchups, and adjust their game plan as conditions change. Your security testing strategy should work the same way.
Relying on a single annual penetration test is like betting your entire season on one game. You might get lucky, but you’re leaving a lot to chance. By balancing frequent vulnerability scans, recurring automated penetration tests, and targeted manual testing, you’re not just reacting to threats—you’re actively shaping the odds in your favor.
Continuous scanning keeps you aware of what’s changing. Automation helps you understand which issues truly matter. Human-driven testing shows you how attackers would really try to win against you. Together, they give you a clearer picture of your risk, better prioritization, and the confidence that you’re making informed, grounded decisions—not just hoping the scoreboard works out in your favor.
If you’d like to refine your testing cadence or double-check your current approach, reach out to Atlantic Data Security to talk through what a balanced, season-long strategy could look like for your organization.