Meet Blast at Black Hat 2026
See what preemptive cloud defense looks like in the age of agentic AI – and why native controls are the only scalable answer.
Stop by for a live demo, or book time with our team for a deeper one-on-one conversation. We’d love to talk about why detection-first security leaves teams one step behind – and what preemptive defense looks like in practice.
The cloud is no longer just infrastructure. AI agents are acting autonomously, identities are multiplying, and the attack surface is shifting faster than detection tools can follow. The industry spent a decade building better alerting. Blast is building something different: a platform that prevents cloud risk before it materializes, using the native controls your cloud providers already give you.
Let’s Talk About
01
Agentic AI Security
AI agents operate across cloud environments autonomously. Blast applies preventive guardrails to agentic workloads, so AI can move fast without creating uncontrolled exposure.
02
Native Controls as Enforcement
SCPs, RCPs, IAM policies, conditional access policies, and cloud-native controls aren’t just configuration, they’re enforcement points. Blast turns them into active, simulation-tested guardrails.
03
Blast Radius Reduction
Every environment has a blast radius, the distance a breach can travel. Blast maps it, limits it, and enforces boundaries that prevent lateral movement before it starts.
04
Safe Enforcement at Scale
Enforce known-safe guardrails with clear impact insights and built-in exclusions, so you can strengthen cloud security without disrupting production.
The Shift
Everyone else detects.
We prevent.
Detection-First
Preemptive Defense
Powered by Native Controls
Your cloud already has the controls.
Blast makes them preventive. For Example:
AWS SCPs & RCPs
Service Control Policies and Resource Control Policies turned into enforceable, simulation-tested guardrails.
Azure Policies
Native Azure Policy definitions operationalized for active prevention across subscriptions and management groups.
GCP Org Policies
Google Cloud Organization Policy constraints applied as preventive guardrails across your GCP hierarchy.
Kubernetes Policies
Admission control and runtime policies that enforce boundaries on containerized workloads and AI agents.
IAM & Identity
Least-privilege enforcement across cloud identities – human, machine, and AI – without standing privileges.
Guardrail Simulation
Test every guardrail against your real environment before enforcement – zero disruption to production.
“Security teams don’t need more alerts. They need controls that prevent the actions that would have generated those alerts in the first place.”– Blast Security, Black Hat USA 2026
Why Meet Blast at Black Hat?
See the difference between cloud security that detects risk and cloud security that prevents it. We’ll show you exactly how Blast works: no slides, no theory, just a live demo of preemptive cloud defense in action.
In one conversation, you’ll see how cloud security can move from reacting to findings to preventing risky actions before they create impact. Whether you’re focused on compliance, resource configuration, identity risk, permissions sprawl, AI security, lateral movement, reconnaissance, privilege escalation, or deny-by-default guardrail enforcement, we’re here to talk about what actually works.