Gartner London Key Takeaways: How RAPTOR AI Stops Cyber Threats

A RAPTOR’s-Eye View from the Gartner London IT SEC Conference.

Rocky the Raptor here, your friendly neighborhood cybersecurity evangelist from RPost. I just swooped back from the Gartner European (in London) IT Security Conference — my talons still tingling from all the hot takes and sharp debates. There were so many sessions flying by at once, it was like trying to track a swarm of drones. Don’t worry though, I’ve hunted down the juiciest morsels for you.

Let’s dig into the highlights -- and yes, there’s a big tie-in to how RAPTOR™ AI (my namesake, of course) by RPost can help you detect and un-leak leaks before the cybercriminals even make their move.

Gartner on AI in Cybersecurity: Be a “Tinkerer,” Look Like a “Native”

One of the most heavily attended sessions tackled the future of AI in cybersecurity. Gartner’s advice?

• Don’t just wait for some perfect all-in-one AI magic tool.
• Experiment, tinker, try out different types of AI to close specific security gaps.

As I perched in the back of the room, I could see CISOs nodding. The message was clear: AI isn’t one thing, it’s a toolkit. Use the right AI for the right job, and don’t be afraid to mix and match.

Here’s the kicker. While you tinker behind the scenes, project the confidence of an “AI-native” leader. In other words, look like you’ve got this AI thing mastered, even if you’re still figuring it out.

Where RAPTOR AI Swoops In

This session had my feathers all ruffled; in a good way, because this is exactly where RAPTOR AI shines. Most companies already check inbound email for weird geo-location anomalies or other risky patterns. But what about outbound content that is being viewed beyond one’s endpoints inside external third and fourth parties (Nth parties)? 

Imagine this: you send an important contract or sensitive email to a trusted third party. They forward it. Someone inside their org accidentally (through a breach on their end or a mis-send) leaks it. Before you know it, that data is sitting in a cybercriminal’s talons.

That’s the blind spot RAPTOR AI fills. It can:

• Spot cybercriminal reconnaissance activity as it happens.
• Detect advanced man-in-the-middle attacks in progress, before the strike.
• Preempt ransomware, BEC scams, and data exfiltration by cutting off the attack before it even starts.

And here’s the best part… You don’t need to tear apart your infrastructure. RAPTOR AI can be up and running in a few hours, just by adding a routing rule for your outbound email for high value senders of content (emails and documents). It plugs a gap, using predictive modeling AI to curate metadata around a likely threat combined with LLM AI to further analyze the threat metadata to attribute the threat actor to a specific cybercriminal organization, attack stage, and attack goals.

PRE-Crime: See the Threat Before It Hits

At the conference, Gartner’s keynote made a bold recommendation: “Find a focused AI security project you can deploy this month that provides measurable results fast.”

Sounds daunting, right? Nope. With RAPTOR AI, it’s totally doable. Once plugged in, you’ll see insights your threat intel team can’t currently access like:

• The volume of external reconnaissance activity on your outbound content.
• Which third parties are actively leaking your data (think real-time third-party risk visualized).
• Which cybercriminals are circling, and what stage of attack planning they’re in.

Think of it like a raptor’s vision. You’ll see the crime forming before it hits your gateways, effectively taking your MTTD and MTTR down to zero (since you can thwart the attack before it even reaches your endpoints).

Humans vs. Hackers: Spoiler, Humans Lose

Another fiery debate at the conference asked: “Are humans trainable enough to stop attacks?” The verdict: nope.

Even with constant phishing training, today’s AI-powered impersonations are just too convincing. It’s like asking a flock of chickens to outsmart a velociraptor. Not happening.

Gartner floated “micro-drip” training as a possible improvement, but the room agreed: we need new technical approaches.

This is where RAPTOR AI steps up again:

• Instead of training humans to not fall for attacks, RAPTOR AI kills the context cybercriminals rely on.
• It detects unseen leaks of “who talks to whom, when, and about what” -- the juicy metadata hackers use to craft their scams.
• Then it un-leaks the leaks before the bad guys ever see them.

It’s like intercepting a hacker’s battle plan before they know you’re onto them.

Bonus Round: RDocs & Document Kill Switches (Quite Popular at the Conference!)

Oh, and here’s something extra cool: RDocs integrates with RAPTOR AI to give you complete control over sensitive files, even after they’ve left your system.

Imagine being able to:

• Auto-lock a document the moment it’s compromised.
• Psychologically deter would-be leakers (they know they’re being watched!).
• Kill access instantly without needing to store the document anywhere or use a special viewer app.

It’s like having a cybernetic tail swipe that knocks bad actors off their perch, all without any compliant action by the viewer or document storage by any other party (other than the content owner).

Final Claw-Swipe

The cybercrime world is evolving fast, and waiting to react is no longer enough.
With RAPTOR AI, you can see attacks forming before they strike, preempt cybercrime with predictive AI models, and plug gaps in your security stack without ripping anything out.

Or, as I like to say: be the hunter, not the hunted.

So go ahead, unleash your inner tinkerer. RAPTOR AI is ready to take flight. And I promise, it won’t take longer than a coffee break to get off the ground.

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