Automated alert triage
Correlate telemetry, identity, asset, and threat context; investigate likely causes; suppress explainable noise; and escalate evidence-rich cases.
Wallfacer / Confidential Compute
Compute that
can’t see you.
Agentic defense and privacy-preserving compute for critical workloads. Continuously reduce exposure. Keep sensitive data protected in use—by hardware isolation or computation over encrypted data.
Agentic BlueFully Homomorphic EncryptionNVIDIA Confidential ComputingIntel TDXAMD SEV-SNP
Agentic Blue
Defense that
keeps moving.
Agentic Blue turns fragmented alerts, vulnerability data, asset context, and control evidence into continuous defensive action—with operators governing every consequential change.
Automated vulnerability triage
Prioritize by reachability, exposure, exploit evidence, asset criticality, and compensating controls—not severity scores alone.
Vulnerability mitigation
Develop patches, configuration changes, isolation steps, or compensating controls; test them safely; and route high-impact changes through approval.
Continuous control validation
Verify fixes from the attacker’s perspective, monitor for regression, and continuously test whether critical controls still produce the intended outcome.
AI system defense
Map prompts, memory, tools, identities, and data flows; detect prompt injection and tool abuse; and enforce boundaries around autonomous systems.
Human-governed autonomy
Policy-defined permissions, approval gates, evidence trails, rollback plans, and explicit escalation keep speed from becoming uncontrolled risk.
Trust model
Operator-blind
by design.
The infrastructure provider should never be able to observe customer workloads. Not by policy. By architecture.
Hardware root of trust
Workloads execute inside hardware-enforced Trusted Execution Environments, with confidential GPUs and encrypted CPU memory.
Zero operator visibility
We cannot inspect your data, model weights, or inference traffic. Cryptographic boundaries replace organizational trust.
Verifiable attestation
Cryptographic evidence lets you independently verify that a workload is running inside the expected confidential environment.
- DeployProvision a confidential VM or GPU environment.
- AttestVerify the hardware-generated attestation before releasing secrets.
- ExecuteRun inside an isolated enclave with memory encryption.
- VerifyRetain independently auditable evidence of the environment.
Capabilities
Everything you need.
Nothing we can see.
Production-grade orchestration for sensitive AI, HPC, and general-purpose workloads.
Confidential GPUs
NVIDIA H100 and B200 confidential computing for protected training and inference with hardware attestation.
Confidential VMs
Intel TDX and AMD SEV-SNP with encrypted memory, secure boot chains, isolation, and remote attestation.
Kubernetes orchestration
Managed confidential clusters that schedule workloads across TEE-enabled nodes using familiar tools and APIs.
Slurm for HPC
Batch scheduling and multi-node training with confidential computing guarantees across the cluster.
Multi-source capacity
GPU capacity across providers and regions, with a uniform confidential-compute boundary wherever the silicon runs.
Attestation evidence
Independently verifiable proofs that document the environment where a sensitive workload executed.
FHE / Encrypted computation
Compute on data
without decrypting it.
Fully Homomorphic Encryption enables selected operations directly over ciphertext. Wallfacer helps identify where FHE is the right boundary, design the computation, and integrate it with practical application and key-management workflows.
Encrypted inference & analytics
Evaluate supported models, signals, and aggregate queries while the underlying inputs remain encrypted throughout computation.
Private data collaboration
Enable organizations to derive shared intelligence from sensitive datasets without exposing raw records to the compute operator or one another.
Confidential decisioning
Perform risk scoring, eligibility checks, fraud signals, and policy evaluation over protected attributes without revealing plaintext inputs.
Use cases
When exposure
is not an option.
Regulated AI & healthcare
Train and serve on sensitive datasets with hardware-enforced isolation from infrastructure operators.
Financial services
Protect proprietary models, data, and inference traffic from the underlying compute provider.
Defense & intelligence
Run sensitive workloads on commercial infrastructure with cryptographic evidence of isolation.
Private model operations
Keep training data, weights, prompts, and responses protected throughout execution.
Contact / Wallfacer
Compute in
confidence.
Bring us your alert queue, vulnerability backlog, AI system, or sensitive workload. We’ll map the right defensive and confidential-compute path.
sales@darkforest.agency