Samer Diya, Vice President for META at Forcepoint, explains that the Data Security Cloud unifies AI-powered protection across cloud, hybrid, and AI-driven environments, using AI Mesh to classify, monitor, and secure sensitive data in real time with adaptive, risk-based controls.
Forcepoint recently introduced its Data Security Cloud. How does this unified platform tackle today’s most urgent data protection challenges across modern IT environments?
Forcepoint Data Security Cloud is purpose-built to help enterprises navigate the complexity of today’s hybrid, cloud-first, and AI-driven environments. It brings together DSPM, DDR, DLP, SaaS Security, Web Security, and Email Security into a single AI-powered platform—enabling visibility and control over data everywhere it moves.
The biggest challenges today are fragmentation and blind spots in data security—businesses struggle to answer basic questions like “Where is my most sensitive data?” or “Is it at risk?” Forcepoint Data Security Cloud gives them a way to see that risk clearly and act on it with confidence. It leverages AI to discover and classify data in real-time, continuously monitor its movement, and adapt enforcement policies as risk evolves—ultimately turning data protection from a reactive task into a proactive advantage. We’re helping security teams move away from chasing alerts to managing outcomes.
How does the Forcepoint AI Mesh approach enhance cybersecurity compared to traditional AI approaches?
AI Mesh is the engine that powers Forcepoint Data Security Cloud. Unlike traditional, monolithic AI models, AI Mesh is a decentralized system of fine-tuned small language models (SLMs) that work together to quickly find and classify risky data, tagging the most sensitive information and recommending actions that security teams can take to mitigate that risk. This makes our AI more agile, context-aware, and scalable for real-world security challenges.
Instead of relying on fixed rule sets, AI Mesh evaluates behavior, context, and risk in real-time—tagging sensitive data as it’s created and recommending adjustments based on who is interacting with it, from what device, and through which app. It’s essentially the nervous system of our platform, linking data classification, user behavior analysis, and policy enforcement into a responsive ecosystem. This allows organizations to mitigate risks before they become incidents—while also reducing the burden on security teams.
As many businesses still rely on static, rule-based systems, how is Forcepoint enabling a transition to adaptive, AI-driven data protection?
Forcepoint is helping customers break away from the limitations of static, rule-based approaches by delivering a dynamic, risk-adaptive model. Traditional systems rely on pre-defined rules that don’t account for the fluid nature of modern work—remote access, BYOD, SaaS platforms, and now, generative AI.
With Forcepoint Data Security Cloud, security leaders can evolve protections based on the risk associated with users, apps, devices, and data context. AI Mesh drives this shift—enabling the system to classify and assess sensitive data with rapid precision, then determine the appropriate level of control based on real-time risk factors. And with a unified platform, organizations can consolidate policies and reduce operational overhead, making it easier to scale security without scaling complexity.
Given the rise of generative AI and growing adoption of hybrid ecosystems, how is Forcepoint helping organizations in the region secure their data across cloud platforms, endpoints, and evolving AI threats?
We see generative AI as both an opportunity and a risk when it comes to data protection. It dramatically increases data creation and consumption, which amplifies the potential for data exposure, shadow AI usage, and regulatory missteps. At the same time, it gives us a way to outpace threats—if used intelligently.
Forcepoint addresses this duality with AI Mesh and our unified Data Security Cloud platform. From endpoints to cloud applications and beyond, we provide continuous visibility into how data is being used, where it’s moving, and who’s accessing it. Our real-time risk visualization tools offer clarity across the environment, helping Middle Eastern enterprises stay ahead of threats and ensure compliance with evolving regulations. Whether it’s protecting proprietary data in cloud-based generative AI apps or ensuring secure collaboration in hybrid ecosystems, Forcepoint provides both the intelligence and the enforcement to make data security a business enabler, not a bottleneck.