How AI Is Changing the Timeline Between a Vulnerability and an Attack
by Patrick Boyd, Chief Operating Officer
For years, security has run on a simple gap. A flaw gets found in a piece of software. Some time later, someone figures out how to exploit it. That gap in between is where the defenders do their work. A patch goes out, teams deploy it, and if that happens before anyone weaponizes the flaw, it never becomes an incident.
AI is shrinking that gap. That’s the whole story here, and it’s worth being straight about how.
Why the timeline used to work in defenders’ favor
Finding a real flaw in software used to take a skilled person. Someone reading through code by hand, testing edge cases, working out how the pieces fit together. That’s slow work. So most flaws sat there undiscovered for a while. And even once one went public, building a working exploit took more time and more skill on top of that. That lag was the defender’s friend. It’s the window where you patch first.
What’s changed
Now the tooling does a version of that review for you. AI built for code analysis can scan an entire codebase at a speed no team of people could match — spotting weak points, flagging known vulnerability classes, sometimes even laying out how they’d be exploited. This isn’t some distant hypothetical. The big platform companies are going to run this kind of tooling against their own code — Microsoft, Cisco and the rest of the big boys — to find and fix what’s there before anyone else does. That’s a good thing.
The catch is simple. The same tool that helps a defender find a flaw faster helps an attacker find it faster too. The gap between a flaw going public and someone exploiting it, once measured in weeks or months, could shrink to days.
Why this matters more for some firms than others
Not everyone is equally exposed. The ones most at risk run on periodic review instead of continuous coverage. A flaw gets found and it waits for the next scheduled maintenance window. In a world where that gap is shrinking, a monthly or quarterly patch cycle isn’t a small inefficiency. It’s an open window.
Law firms sit in a spot worth watching here. The client and case data you hold carries more confidentiality risk than most industries deal with. And a firm’s IT setup is often smaller than a big enterprise’s, which usually means less around-the-clock coverage, not more.
What actually closes the gap
It isn’t about any one tool. For a firm relying on someone else to run its environment, it comes down to how fast that provider can triage what the platforms disclose and act on it.
Prioritize by real risk, not just severity scores. A critical-rated flaw on a system nobody can reach from outside matters less than a moderate one sitting on something internet-facing. Patch by the score alone and you spend time fixing the wrong things first. And when you can’t patch right away, a compensating control has to hold the line until you can.
Privileged accounts get extra attention, and they should. They’re the fastest path from one stolen credential to a whole compromised environment. Least-privilege access, MFA, and watching admin activity closely shrink that path.
The monitoring has to be constant, not periodic. A flaw being actively exploited throws off signals — odd logins, data moving where it shouldn’t, processes that have no business running. But those signals only matter if someone’s watching in real time, not reading a report three days later.
None of this closes the gap for good. What it does is make sure that gap gets used to defend, not to attack.
Where we land on it
For us, this doesn’t change our playbook. It reinforces it. We run our clients’ environments on major, well-supported platforms. We keep them hardened and current, protect the accounts and access that matter most, and lean on 24×7 monitoring through Arctic Wolf to catch what moves fast. None of that is exotic. It’s about staying buttoned up and vigilant while the clock speeds up — with one point of accountability for the firm, so nothing slips through the cracks.