Top 3 Cybersecurity Insights on AI, Third-Party Risk, and Preemptive Cybersecurity

Top 3 Cybersecurity Insights on AI, Third-Party Risk, and Preemptive Cybersecurity

June 11, 2026 / in Cybersecurity Insights / by Zafar Khan, RPost CEO

From FS-ISAC and Gartner SRM, the Top 3 Insights, in more detail…

Overlapping last week, RPost CEO presented the FS-ISAC Expert Webinar Series, with 1200 financial institutions attending, entitled “Rethinking Third Party Risk in the Age of Rapid AI Change.” (FS-ISAC members can register to watch a replay here). Simultaneously, the RPost team presented at the Gartner Security & Risk conference in National Harbor, meeting with hundreds of CISOs, TPRM, Threat Intel, and Data Protection specialists.

The message was similar in both venues. The golden ticket… using AI to unmask cybercriminal fingerprints to be able to see leaks in real time – even if at third parties – and killing those leaks with AI before strategic content can enrich the reconnaissance phase of attacks. Seeing the unseen. Un leaking leaks agentically. Offensive, preemptive is more essential today with the speed of what Gartner calls “DarkAI”.

We’ve prepared a list of the three most significant insights gleaned from FS-ISAC EWS & EMEA Conferences:

  1. Preemptive Cybersecurity:  Of highest interest among those we met was how RPost’s RAPTOR™ AI sees what is currently unseen; cybercriminals in the recon stage using Dark AI to harvest one’s content inside third- and-forth parties that are often less security resourced. We understand the focus on vulnerability management considering Mythos Esque Dark AI agent swarms; just imagine the unknown in these third parties… We showcased a live Russian Nigerian collaboration pre strike, which RAPTOR could see, analyze, and then kill the attack before it began, PRE-Crime™ style.

Because RPost operates content platforms (email, file share, document rights, eSignature, etc.), RAPTOR AI can interact with the content layer itself rather than only with the network around it. This enables RAPTOR to generate beyond-the-network, beyond the endpoint, after the send intelligence from inside third- and fourth-party content interactions: who or what touched the content, when, from where, through what environment, and in what behavioral pattern. This creates a new dataset that does not naturally exist in SEG, EDR, XDR, SIEM, DLP, repository logs, or third-party risk systems. RAPTOR AI anchors its analysis on this newly generated forensic interaction metadata, giving CISOs a visibility layer where modern cybercriminal reconnaissance often hides.

The below chart will make it clearer.

Raptor AI Model

  1. Confidential Computing: Sensitive data needs protection while it is being used, not only while it is stored or transmitted. This same thinking applies to the documents and emails moving outside one’s security perimeter every day. There is a shared belief that if content has been sent securely, the actual risk stops at delivery; rather it starts after that. Enter RAPTOR’s AI Auto-Lock™ and Double DLP™ capability. When combined with RPost’s content platforms, we shared how these RPost capabilities can agentically un-leak leaks and report that there is no resulting breach (since the leak was forensically recorded as having been killed after leaked but before seen). Intelligent security in the content itself, rather than reliance on the network, is for example, how RPost’s RDocs protects from inadvertent dropping of strategic content into insecure AI LLMs by your third- and-forth party recipients or casually careless insiders.
  2. Multi-Agent Systems: In the opening Gartner Keynote, Gartner shared what they see as the need to have AI agent specialists, orchestrated. This provides, as they pointed out in their analogy of the master chef in the kitchen, supported by specialist line cooks, a better, more accurate, more reliable result. We’ve re-architected the RAPTOR approach to orchestrate what we call “micro-agents” that each have a task that may be invoked depending on the stage of the situation. This approach lets RAPTOR organically minimize false positive alerts and pull new cybercriminal fingerprints out of what otherwise might have been a false negative (missed threat signal). Simply put, Gartner’s revelation in our opinion, is spot on.

As a reminder, Gartner Research named RPost an Innovator and Visionary in its Pre-Crime Preemptive Cybersecurity Impact Radar report and included RPost in its Magic Quadrant for Email Security Platforms and Critical Capabilities for Email Security reports (see accolades).

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