Blast Radius Analysis Traces What an Attacker Can Reach from Any Foothold

Blast Radius Analysis answers one question about any point in your cloud: what could an attacker actually reach from here. It maps and validates the real attack paths, so you see consequence instead of a flat list of findings.

It runs on a live graph of your identities, permissions, resources, and trust relationships across AWS, Azure, and GCP, including cross-cloud paths. Context-aware AI agents traverse that graph the way a penetration tester would, at machine scale. That impact layer sits on top of cloud exploit validation and adversarial exposure validation.

Key takeaways

• Blast Radius Analysis answers one question about any point in your cloud: what could an attacker actually reach from here. It maps and validates the real attack paths, so you see consequence instead of a flat list of findings.
• It runs on a live graph of your identities, permissions, resources, and trust relationships across AWS, Azure, and GCP, including cross-cloud paths, traversed by context-aware AI agents that reason like a penetration tester at machine scale.
• It validates feasibility, so you see only paths that are actually exploitable given the permissions, trust relationships, and prerequisites in your environment.
• You can point it three ways: outward from a proven foothold, from any identity you name, or backward from your crown jewels to every path that reaches them.
• Any action that could change the environment is optional, requires explicit approval, and is logged with CloudTrail references, and the AI never sees your real account IDs, resource names, or credentials.

What Blast Radius Analysis is

Blast Radius Analysis is an agentic AI system that discovers and validates cloud attack paths to answer what an attacker could actually do from a given point. Give it a foothold, an identity, or a critical asset, and it reasons over a graph of your cloud to find the real, exploitable routes between them, then reports what an attacker would reach and how they'd get there.

The name is the idea. When something in your cloud is compromised, the question that matters is how far the damage spreads. Blast Radius Analysis measures that spread with evidence, so a single finding turns into a clear picture of everything downstream of it.

Where a vulnerability list stops

A scanner tells you a resource is misconfigured. It doesn't tell you whether that misconfiguration is reachable, or what sits behind it once it is.

That gap is the whole problem. A misconfigured IAM role means very little on its own, and it means everything if its trust relationships chain to a production database in another account. Cloud attacks live in exactly those conditional, multi-step relationships, and a flat findings list flattens them away. You get a severity label with no consequence attached, which is why teams spend so much effort on findings that were never reachable while the reachable ones wait.

The other way to trace that consequence is a manual red-team engagement. A skilled tester can follow the path, but the work is expensive, it captures one moment in time, and it can't keep pace with an environment that changes every day. Blast Radius Analysis brings that same reasoning to every foothold, continuously and at scale.

What an attacker can actually do from here

The core of the system is a graph. A scheduled worker continuously enumerates your cloud and populates a graph database with your resources, identities, permissions, and the trust relationships between them, so the picture reflects the current environment. Context-aware AI agents then traverse that graph the way an experienced attacker would, reasoning about which permissions and relationships combine into a working route.

A set of specialized agents divides the work. One scores targets, identifying high-value resources from naming patterns, tags, permissions, and relationships. One builds paths, constructing candidate attack chains by traversing the graph and reasoning about how each step could be exploited, checked against a library of in-house cloud exploitation techniques. One validates feasibility, confirming a path is actually exploitable given the permissions, trust relationships, and prerequisites, and flagging any step that would be destructive. One reports, aggregating the result into findings with severity, remediation guidance, and a visual representation of the attack path.

Your data stays protected throughout. Account identifiers are anonymized, so the model reasons over ACCOUNT_01 rather than your real account number. Resource names are abstracted to descriptions, so an instance becomes "EC2 Instance 01" instead of its real identifier. Credentials are never placed in the model's reach; they're used behind the scenes during tool calls and never exposed to the AI. Full detail lives in the trust center.

Three ways to use it

The same engine points in three directions, and each answers a different question.

Post-compromise impact. When OFFENSAI validates a misconfiguration through safe exploitation, Blast Radius Analysis automatically assesses what that foothold leads to. Your team sees exactly what an attacker could reach from that vulnerable resource, which turns a raw finding into a ranked priority.

Insider-threat simulation. Give it any starting point, a role, a user, or a compromised credential, and it maps the blast radius from there. This answers the question every identity review should ask: if this identity were compromised, what's actually at risk.

Crown-jewel protection. Name your most critical assets, and the system discovers every viable path that leads to them. This inverts the usual approach. Instead of finding vulnerabilities and hoping they matter, you start from what matters most and work backward to every route an attacker could take to get there.

How the approaches compare

What it changes for security leaders

You stop guessing which findings matter and start ranking them by what they actually reach.

Remediation effort follows real blast radius, so the same team closes more consequential exposure. During an incident, a responder can take the compromised identity and immediately see everything it can reach, which turns the scariest question of an incident into a concrete map. Crown-jewel analysis also lets you protect your most important assets proactively, by knowing every path to them before an attacker finds one. "This resource is critical" becomes "here is exactly what it reaches, and here is the path to cut."

Optional execution, under your control

Blast Radius Analysis is built to run against real environments safely. Attack execution is entirely optional and never automatic. Every action that could touch the environment requires explicit confirmation before it runs, and actions that modify anything are clearly separated from read-only ones. Each executed action is recorded with specific CloudTrail references, and any resources created during validation are tracked for cleanup. Combined with the anonymized, credential-free way the AI reasons over your environment, you get attacker-grade path intelligence without granting standing write access to anything.

Start from what matters

Most security work runs from the vulnerability outward and hopes the finding is important. Blast Radius Analysis lets you run the other way, from your most critical assets and your real footholds toward the paths that actually reach them, with each path validated as exploitable before it reaches your queue. The teams that work this way stop drowning in findings and start seeing their cloud the way an attacker does: as a set of routes between where they land and what they're after.

FAQs

What is Blast Radius Analysis?

Blast Radius Analysis is an agentic AI system that discovers and validates cloud attack paths to show what an attacker could reach from a given foothold, identity, or toward a critical asset. It reasons over a live graph of your cloud and reports validated, exploitable routes.

What question does it answer?

It answers "what could an attacker actually do from here." Given a starting point, it maps the real paths an attacker could take and what they'd reach, so you understand consequence rather than a standalone finding.

How is it different from a vulnerability scanner?

A scanner lists misconfigurations without telling you whether they're reachable or what's behind them. Blast Radius Analysis validates which paths are actually exploitable and traces what each one reaches, so you can prioritize by real impact.

Does it execute attacks?

Only when you choose. Execution is optional and never automatic, every environment-changing action requires explicit approval, and each is logged with CloudTrail references, with created resources tracked for cleanup.

Which clouds does it cover?

It analyzes attack paths across AWS, Azure, and GCP, including cross-cloud paths that single-provider tools miss.

How does it protect my data?

Account IDs are anonymized, resource names are abstracted to descriptions, and credentials are never exposed to the model. The AI reasons over abstracted representations of your environment, not your raw data.

Explore the rest of the OFFENSAI platform

Blast Radius Analysis measures impact. These engines find, prove, and test the paths it maps.

• Generative Attack Engine. Composes new attack path variations across APIs, identities, and service relationships, then proves which are exploitable by executing them in a live sandbox.
• ATTACKSTUDIO. Lets a red team visually compose custom attack chains node by node to test a specific hypothesis against a specific architecture.
• Configurable Evasion Engine. Re-runs a validated attack in stealth mode to measure which steps your monitoring catches and which slip past.
• Comprehensive continuous testing. Validates exposure from outside-in and inside-out as the cloud changes.

Want to see the blast radius of a real foothold in your environment? Book a demo.