The cloud workspace sprawled beyond email long ago, becoming a web of productivity, communication, and risk. AI adoption has only accelerated both the sprawl and the risk. Defending it with point solutions leaves the same gaps within the platform vulnerable.
The cloud workspace is one system, and attackers treat it that way: a single compromised session reaches shared drives, calendars, connected SaaS apps, and now AI agents. Phishing still matters, but email-only tools defend one door in a building with many, and a patchwork of partial tools can't surface subtle signs of intrusion. Material defends the whole building — resilience before, detection and response during, containment after.
Forty years ago, the workspace was mostly physical, and email was the attacker's best way into it.
Put a gateway in front of the inbox and most attacks stopped at the door. Securing email was securing the workspace.
The workspace drastically changed and the threat surface exploded, but security didn't keep up.
Point solutions for identity, data, and app security help. But the fragmented patchwork leaves holes, slows response, and struggles to stop threats once they're past the perimeter.
Cloud workspace security provides total coverage and interconnected prevention, detection, and response across the entire workspace to stop attacks, minimize risk, contain breaches faster, and adopt AI safely.
Shared files, OAuth grants, forwarding rules, session tokens: the cloud workspace has been quietly compounding risk with no attacker required. It's the ordinary consequence of people sharing documents, connecting apps, and adopting tools to get their jobs done. The problem is that it happens at a velocity that's impossible to track manually.
of connected OAuth apps hold restricted scopes, often read/write to email and shared files.
growth in sensitive files in share drives over an eight-month period: more than triple the rate of files overall.
of security professionals neglect OAuth app governance, while a further 33% rely solely on manual reviews.
increase in phishing in the AI era: there's more phishing volume, and the attacks themselves are more sophisticated.
The inherent risk in the cloud workspace is compounded by rising attack volume against those surfaces, and by how much of the defense still depends on manual review. Malicious and compromised OAuth apps. Missing data governance over what agentic tools can touch. Phishing that keeps getting harder to catch by hand. None of it holds up as a manual process.
Material is built to secure email and the entire cloud workspace comprehensively and automatically — giving lean security teams leverage, not another console to babysit.
Quickly detect and contain unauthorized access to limit the damage of a breach.
Transform user-reported phishing into instant environment-wide protection and eliminate toil.
Detect and prevent Business Email Compromise and Vendor Email Compromise attacks.
Control agentic access to sensitive data and audit AI tool adoption across your user base.
Automatically monitor app OAuth and email connections, and detect and remediate risky apps.
Secure sensitive data in email and shared files, controlling risky and unauthorized access.
I think it’s important to look at the cloud office at a wider holistic level and not just at the point of entry. Understanding its whole life cycle and even what’s being done with it when resting is critical to protecting that platform. Material does that very well.
We knew critical aspects of Google's Workspace native security wouldn't scale as our company got bigger, which is why we came to Material.
I've seen amazing improvements in our ability to react, relying on well-trusted mechanisms from Material. With just one click, we can disable phishing emails.
FAQ
DLP inspects content and blocks policy violations. It was never built to connect that to who has access to the account holding the data, whether that account shows signs of compromise, or what an attacker could actually reach once inside. Material starts where DLP stops: tying data sensitivity to the identity and access layer DLP doesn't touch.
IdP and ITDR watch authentication: logins, MFA, known attack patterns. AiTM phishing hands an attacker a valid session token that clears every identity check they run. The moment that matters, what the account does after that session is live, is the layer neither tool sees.
Most SSPM gives you an inventory: which apps connected, what scopes they requested. That's a compliance snapshot, not a defense. Material watches what a connected app actually does at runtime and can revoke a token the moment behavior turns malicious. Inventory tells you what exists. This tells you what to do about it.
It's not a sixth tool watching a sixth fragment. It's one platform watching email, files, accounts, and connected apps as the interconnected system they actually are, so a two-person team spends attention on real incidents instead of correlating five dashboards by hand.
Native controls are a genuinely strong foundation, and this doesn't replace them. But they were built to secure the platform, not to give a security team a correlated posture: no cross-surface correlation between email, identity, and file events, and no runtime behavior monitoring for OAuth grants. Material closes exactly those gaps via API.
A SIEM ingests logs and sees events. It has no native understanding of how email, identity, files, and OAuth relate inside the workspace itself. Material goes deeper than log data allows and can feed high-fidelity workspace signal into the SIEM teams already have. It's not competing with it, it's making it smarter about the one part of the environment it can't see well.
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