RPost Releases RAPTOR AI Intelligent Collaboration Security Module

New RAPTOR AI capability protects email-adjacent communications from AI-era impersonation, social engineering, deepfakes and exposed-content attacks.

July 24, 2026 – Los Angeles, CA

RPost today announces the release of its RAPTOR™ AI Intelligent Collaboration Security Module, a new capability designed to help organizations extend protection beyond traditional email security into email-adjacent communications and collaboration channels where sensitive business context increasingly moves.

The module addresses a growing security challenge: business communication no longer happens only in email. Employees share documents through persistent links, exchange files through cloud platforms, discuss sensitive matters in messaging apps, send meeting links across collaboration tools, and move decisions between email, Teams, WhatsApp, SMS, web meetings, shared folders, eSignatures, and secure file-sharing workflows. These channels improve productivity, but they also create new places where cybercriminals can gather context, impersonate trusted parties, and prepare more convincing attacks.

RAPTOR AI Intelligent Collaboration Security™ is designed to support modern communications and collaboration security use cases - protecting document sharing platforms, collaboration suites, messaging channels, and file-sharing workflows from social engineering and artifact-based attacks. It is especially relevant for organizations that rely on web conferencing, instant messaging, and cloud-based document sharing where traditional cybersecurity agents may have limited visibility.

“Cybercriminals no longer need to break in first. Often, they can simply observe,” states Zafar Khan, CEO of RPost. “They can watch persistent file links, gather context from exposed documents, learn who is working with whom, then use AI to impersonate people with much more precision. RAPTOR AI is designed to spot that reconnaissance and protect the content before the fraud, impersonation, real-time deepfake, data loss, or disruption happens.”

The module focuses on four high-risk communication modes.

Document and File Link Sharing

Persistent document and file links can become a source of intelligence for attackers. A cybercriminal who gains access to an insecure link may see contracts, invoices, board materials, payment instructions, deal terms, or customer information. That content can then be used to create highly contextual phishing, business email compromise, vendor impersonation, or AI-generated messaging-app lures. RAPTOR AI is designed to detect suspicious access to shared content and AI Auto-Lock™ content when cybercriminal application scanning, unusual access patterns, untrusted networks, or other high-risk indicators suggest the link is being viewed or probed by an unintended party.

Messaging Apps, SMS, and WhatsApp-style Impersonation

Fraud increasingly moves from email into messaging apps and SMS after the attacker has gathered context elsewhere. A criminal may learn enough from a file link, data room, shared folder, or email thread to send a convincing WhatsApp or SMS impersonation: “I saw the closing packet,” “I reviewed the wire instructions,” or “I’m joining the call in five minutes; please send the updated document here.” Where RPost-controlled links or documents are involved, RAPTOR AI can auto-lock exposed content, report insights related to suspicious access, and help security teams understand whether the message may be linked to prior reconnaissance.

Collaboration Tools and Internal Messaging

Modern collaboration platforms increasingly include AI assistants and agents that can summarize channels, read documents, index shared files, or act on user instructions. This creates a new risk: attackers can place prompt-injection instructions or manipulative content inside shared documents, messages, or links that are later processed by an AI assistant. RAPTOR AI Intelligent Collaboration Security is designed to detect hidden prompts, embedded instructions, or agent-directed language intended to alter AI behavior, suppress warnings, extract confidential information, or manipulate workflow decisions.

Web Meetings and Calendar Link Exposure

Meeting links and calendar details are now part of the attack surface. If an attacker gains access to a meeting invitation, document link, or calendar thread, that context may enable more credible impersonation, including AI-assisted voice, video, or deepfake presence in a web meeting. RAPTOR AI is designed to analyze signals around meeting-link access, calendar context, file downloads, and participant behavior to help alert when meeting-related content may be accessed by an impersonator, unauthorized participant, or reconnaissance actor.

Key capabilities include:

• Suspicious shared-link access detection for exposed documents, files, and collaboration artifacts.
• AI Auto-Lock™ controls to lock RPost-protected content when suspicious application scanning, anomalous access, or cybercriminal reconnaissance indicators appear.
• Messaging-app and SMS impersonation insight where suspicious content access may relate to later out-of-band impersonation attempts.
• Collaboration prompt-injection detection for hidden or embedded instructions intended to manipulate AI assistants or agents.
• Meeting-link and web-conference risk indicators that help identify when meeting-related content may be accessed by unauthorized or suspicious parties that could lead to a real-time deepfake meeting.
• Context-to-attack correlation connecting content access, file downloads, email activity, and collaboration workflows to help identify when exposed information may be feeding social engineering.
• Administrative visibility through RPostONE™ for security teams to manage policies, review RAPTOR AI insights, and coordinate response across email, documents, files, and workflows.

The module complements traditional collaboration security, CASB, SSE, EDR, and email gateway controls. Those tools may see applications, endpoints, or sessions. RAPTOR AI adds a content-centered layer: what was shared, who interacted with it, whether access looked suspicious, whether AI manipulation instructions are present, and whether the content should be locked before it becomes attack material.

The RAPTOR AI Intelligent Collaboration Security Module is part of the broader RPostONE experience, uniting RMail® email security, Registered Email™ compliance, RSign® eSignatures, RDocs® document security, secure file sharing, workflow automation, and RAPTOR AI cybersecurity intelligence.

About RPost

RPost helps CIOs, CISOs, and GRC leaders extend cyber resilience beyond traditional email security, shifting from recovery after disruption to preemption before impact. In an AI-vs.-AI world, reactive defenses are no longer enough. Powered by RAPTOR™ AI, RPostONE™ adds a preemptive intelligence layer that helps spot cybercriminal reconnaissance even beyond endpoints, hunt for third-party risk, and protect exposed content before fraud, business email compromise, impersonations, data loss, or disruption strikes.

RPostONE brings AI-era threat defense and observability, integrated email security, data protection, compliance, and eSignature workflows into one platform. Designed to extend common email gateways and applications without adding complexity, RPost complements existing security stacks by adding visibility and controls where conventional tools often stop - after content leaves the organization, enters third-parties, or becomes part of a high-value transaction. Handcrafted in California and named a Leader, Visionary, and Pioneer by analysts including Gartner Research, Aragon Research, and IDC, RPost has served customers the world over for more than a decade. RPost is PRE-Crime™ AI resilience.