RPost Announces Custom AI Agents to Tackle Security Blind Spots
RPost Announces Custom AI Agents to Tackle Security Blind Spots
Securing digital content in transit and at rest remains a persistent challenge for enterprises. Standard security measures often fall short when faced with sophisticated threats and human error impacting data after it leaves the initial sender’s control. RPost, a long-time provider of intelligent content security solutions, recently announced its RAPTOR™ AI Agent Framework.
This blog overviews the RAPTOR™ AI Framework announcement and offers our analysis.
Why RPost Announced the RAPTOR™ AI Agent Framework
RPost’s core business involves managing sensitive content flow through email, file transfer, and digital transactions. This position grants them unique visibility into forensic metadata generated by human interaction with content both within and outside an organization’s traditional boundaries. This data offers insights into how content is accessed, shared, and potentially exposed post-transmission.
The RAPTOR™ AI Agent Framework leverages this proprietary data with advanced AI techniques (NLP, ML, DL, LLM) to enable the rapid development of custom AI assistants and agents. These agents are designed to identify and autonomously address specific, often human-error-driven, security vulnerabilities that are unique to an individual organization’s processes and workflows, moving beyond standard, generic security measures.
Analysis
The RAPTOR™ AI Agent Framework represents a strategic evolution for RPost, leveraging their established data infrastructure to address a critical gap in the enterprise security landscape.
Standard security products provide broad protection, but organizations frequently face highly specific risks stemming from unique operational processes, user behaviors, or interactions with third parties that generic tools cannot effectively mitigate.
By enabling the quick creation of custom AI agents, RPost positions itself to tackle these nuanced, hard-to-solve problems. This capability is particularly impactful as it utilizes data generated outside the sender’s network, offering a level of post-transmission content control and threat detection (like detecting reconnaissance on leaked data) that is difficult for competitors focused solely on perimeter or endpoint security to replicate.
This approach differentiates RPost by offering tailored security solutions and highlights a growing market need for specialized AI agents that can address bespoke security challenges beyond the reach of general-purpose platforms.
Bottom Line
RPost’s RAPTOR™ AI Agent Framework focuses on building custom, data-driven AI solutions to fill specific enterprise security gaps often missed by standard tools. Leveraging unique insights from content flow data, RPost can develop targeted agents to proactively protect content even outside organizational control.
Enterprises grappling with persistent, unique content security challenges or human-error-related risks should investigate RPost’s capabilities as a potential source for a tailored solution.
UPCOMING EVENT
We invite you to join us for Aragon’s June Transform Tour, a virtual event designed to equip business leaders with actionable insights into driving real-world results through AI and strategic planning.
This event features two focused sessions:
Session 1: A Practical Guide to Strategy, Architecture, and Operations – Unlock Tangible Business Value from AI
Many organizations struggle to move beyond AI hype to real-world results. During this session, we will provide actionable insights into crafting a clear, business-driven AI strategy, architecture, and operations framework. We’ll explore how to establish effective governance, build the right organizational structures and Centers of Excellence, design robust AI architectures, develop practical roadmaps, and implement a proactive security strategy.
Join us to discover:
- How a proactive and practical AI strategy can significantly decrease risk.
- How to leverage your AI strategy to effectively guide architecture and governance decisions.
- Practical change management approaches to ensure successful and widespread AI adoption.
Equip yourself with the knowledge to translate AI’s promise into measurable business impact.
Session 2: A Practical Guide to Development, Training, Management and Security
Navigating the complexities of AI development, deployment, and security requires a solid technical foundation. The emergence of this new software and hardware technology stack requires mastering introducing new development, integration, data management and technology architecture skills. This webinar offers practical guidance for IT leaders on building efficient training datasets and pipelines, selecting the right development frameworks, implementing robust security measures across the AI lifecycle, and establishing effective management practices for your AI infrastructure.
We will address critical questions such as:
- How does AI fundamentally change the IT landscape?
- What are the best practices for developing and managing AI?
- How do IT leaders and developers support security, integration and data management?
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