RSAC™ has always been where security inflection points surface first.
Firewalls. SIEM. EDR. Cloud security. Zero Trust.
Each time the industry crossed a structural threshold, RSAC wasn’t about tools, it was about new operating models.
In 2026, data security is at that same moment again.
That’s why Matters.AI is coming to RSAC™ 2026 Conference, not to launch another category variant, but to introduce a fundamentally different way data security operates in AI-native enterprises.
The Problem RSAC Conversations Keep Circling, But Haven’t Solved
Every RSAC agenda today includes some version of:
- DSPM
- Data visibility
- “Real-time” discovery
- AI risk
And yet, CISOs keep asking the same questions behind closed doors:
- Why do breaches still happen after we’ve mapped all our sensitive data?
- Why do investigations still take days?
- Why does data misuse surface only after damage is done?
The uncomfortable truth is this:
The industry solved for visibility, not security execution.
DSPM answered an important first question:
Where is my sensitive data?
But in modern environments, that question alone is no longer sufficient.
Why DSPM Alone Hits a Ceiling in AI-First Environments
This isn’t about static vs real-time DSPM.
It’s about what DSPM was designed to do, and what it was never built for.
1. Visibility Without Control Creates Noise
Enterprises now see more sensitive data than ever before.
What they don’t have is:
- Context of intent
- Enforcement at runtime
- Confidence in what to ignore vs stop
Visibility creates alert and security requires decisions.
2. Data Is No Longer Static or Human-Only
Modern data flows through:
- SaaS platforms and APIs
- Endpoints and server
- AI copilots, agents, and LLM pipelines
- Non-human identities acting autonomously
DSPM was built for:
- Buckets
- Databases
- Periodic scans
It breaks when data is continuously moving and machine-driven.
3. Security Teams Are Operationally Overwhelmed
In real environments:
- 1,000+ alerts per day
- 80% of investigation time wasted on pulling logs and correlating tools
- Real data misuse hides inside noise
This is not a staffing issue, it’s an operating-model failure.
What We’re Bringing to RSAC™ 2026 Instead
At RSAC™ 2026, Matters.AI isn’t showing “DSPM, but better.”
We’re introducing the concept of an AI Security Engineer.
An AI Security Engineer:
- Starts with visibility, but doesn’t stop there
- Understands how data is accessed, moved, and misused
- Detects behavioral anomalies in real time
- Enforces policies automatically
- Investigates and responds without waiting for human L1/L2 workflows
In short: security execution, not security observation.
What Attendees Will See at the Matters.AI Booth
At Booth #S-2357, RSAC attendees will experience how AI Security Engineering operates in practice:
- Unified visibility across cloud, SaaS, endpoints, databases, and network egress
- Real-time behavioral detection, not just policy scanning
- Detection of misuse patterns like:
- Lateral data movement
- Renaming → staging → exfiltration sequences
- Automated investigation and response, reducing noise and human toil
This is how data security works when it’s built for AI-first enterprises, not retrofitted for them.
Why This Matters Now
RSAC has always marked the moments when security teams realize:
The old mental model no longer fits the new reality.
In 2026, that moment is here for data security.
- Visibility alone is not protection
- Dashboards don’t stop breaches
- Manual investigations don’t scale
- AI-native systems demand AI-native defense
DSPM remains necessary, but it is no longer sufficient.
Join the Conversation at RSAC™ 2026
📍 RSAC™ 2026 Conference
🗓 March 23-26, 2026
📍 Moscone Center, San Francisco
🔐 Matters.AI – Booth #S-2357
If you’re rethinking how data security should operate in an AI-driven world, we’d love to have that conversation in person.
Because security is no longer about seeing risk.
It’s about stopping it, continuously, intelligently, and by design.
It’s about protecting what Matters!