Jump the starting gun with a head start for every threat hunt

Every threat hunt is a foot race against attackers, who all too often are already taking advantage of vulnerabilities with automated agents, while cybersecurity teams miss the starting gun.

By the time a novel exploit is discovered by the cyber community, reported as a CVE, or disclosed to technology vendors and open source foundations to issue patches and mitigation procedures, there’s a good chance attackers are using agentic AI and readily available automation to continuously look for that new hole in your organization’s armor.

Threat hunting activities should fill in this gap and find exploits specific to the organization’s environment. But given the queue of active issues and incidents the SOC analyst needs to resolve, it is the part of the job that never quite fits in their week: forming a hypothesis, writing the queries, chasing results across four consoles, then writing up whatever they did or didn’t find for each investigation.

Since the cost of an attack is close to zero, attackers can practically run an infinite number of agent attacks, rifling through thousands of different parameters, from prompt injections, to man-in-the-middle interception attempts, to social engineering attacks and even the hijacking of your own AI-enabled tooling.

But as a defender, you only need to make one mistake, at one point in time, to possibly lose the keys to the kingdom. Skilled security pros are in short supply. And even your most experienced analyst armed with the ultimate AI SOC solution could never prepare for all of the possible contingencies, much less have time to run so many hunts.

What if you could give your team a head start, and eliminate the fruitless investigations?

Deterministic tools can lead to dead ends

The familiar process of security engineers responding to queues of alerts from SIEM and EDR with a mixed bag of threat hunting tools and playbooks never really went away. It’s still happening in most SOCs.

Unfortunately, human teams just don’t have the time or resources to use existing deterministic tools at the speed required to investigate, discover, and repel AI-based attacks, which can find non-deterministic ways to avoid detection and get around defenses.

Even a well-conceived hunt has to compete with the queue. A single hunt can take a specialist 10 to 20 hours, which is why hunting tends to happen rarely, reactively, or not at all. And plenty of the hunts that do run end without a clean answer: no confirmation it was a false positive, and no confirmation something was missed. That isn’t a judgment problem. The hunt just ran out of hours before it ran out of leads…