AI Platform
Exogram vs AWS Bedrock Agents
“Cloud orchestration needs independent governance.”
What AWS Bedrock Agents Does
- •AWS Bedrock Agents orchestrated multi-step tasks across company systems and AWS architectures.
- •Uses inherent IAM policies, but those policies are broadly scoped (e.g., "Agent has write access").
- •Does not contextually evaluate the semantic safety of individual actions. A permitted agent can still execute a harmful mutation.
- •Tightly coupled to the AWS ecosystem.
What Exogram Does
- ▸Exogram provides deep semantic validation, overriding broad IAM roles with fine-grained situational awareness.
- ▸An agent might technically have AWS permission to invoke a Lambda, but Exogram evaluates whether the *payload* of that invocation is safe.
- ▸Platform agnostic — governs AWS Bedrock identically to self-hosted OSS agents.
Key Differences
| Dimension | AWS Bedrock Agents | Exogram |
|---|---|---|
| Access Control | Broad IAM Roles | Semantic Action Validation |
| Ecosystem | AWS Native | Platform Agnostic |
The Verdict
Use Bedrock to quickly deploy agents in AWS. Use Exogram to guarantee those agents don't misuse their AWS permissions.
Is AWS Bedrock Agents vulnerable to execution drift?
Run a static analysis on your LLM pipeline below.
STATIC ANALYSIS
Frequently Asked Questions
Can I use Exogram inside AWS?
Yes. Exogram evaluates payloads before execution. You can insert Exogram into any Bedrock Action Group execution path.