Don’t trust your
systems. Prove them.
systems. Prove them.
Run AI systems and cloud workloads in a human-governed trust ecosystem and generate cryptographic proof that sensitive data was handled correctly.
Built for security and platform leaders at cloud-native companies handling sensitive data and preparing for enterprise trust requirements.
Execution proof panel
Verifiedworkload
aml-risk-scoring-v3environment
confidential-spacepolicy
pii-no-export ✅approval
required / approved ✅assertions
image • container • vmartifact
evidence-bundle.json ✅Proof statement
Your customers can independently verify how their data was handled.
Buyer outcome
Shorten security reviews with portable attestation evidence.
Provable
Generate signed attestation evidence from confidential compute environments (e.g. AMD SEV, Intel TDX) proving workload identity, integrity, and execution conditions.
Governed
Enforce runtime policies on workload identity, environment configuration, and data access before execution proceeds.
Portable
Export evidence bundles that can be independently verified using attestation documents and cryptographic signatures.
Revenue-driven
Turn compliance artifacts (e.g. SOC 2, ISO 27001 readiness) into verifiable proof that accelerates enterprise procurement.
From trust to proof
Modern AI and cloud-native systems process sensitive data, rely on distributed automation, and move faster than governance models were designed to support. Most teams still rely on logs, screenshots, and post-hoc audits to explain what happened. That is no longer enough.
Veritas replaces interpretive signals with runtime policy checks and cryptographic attestation evidence that can be independently verified.
assertion.swname
== "CONFIDENTIAL_SPACE"
Policies such as workload identity verification, confidential compute enforcement, and environment integrity checks can be evaluated at runtime, producing cryptographic evidence that proves execution conditions were met.
This transforms trust from a narrative into a verifiable outcome enabling customers, auditors, and regulators to independently confirm how sensitive data was handled.
Veritas enables
Before access
Define exactly what must be true about the image, container, VM, and operator-controlled configuration before sensitive data can be used.
During execution
Enforce policy at runtime inside confidential environments instead of reconstructing trust from logs and screenshots afterward.
After execution
Export portable cryptographic evidence your customers, auditors, and regulators can independently verify.
How policy becomes proof
Attestation policy
assertion.swname == "CONFIDENTIAL_SPACE"
"STABLE" in assertion.submods.confidential_space.support_attributes
assertion.submods.gce.zone == "us-central1-a"
size(assertion.submods.container.env_override) == 0
assertion.hwmodel == "GCP_AMD_SEV"
Runtime evidence result
Confidential Space image
Matched
Support attribute
STABLE
Workload zone
us-central1-a
Container overrides
None detected
Confidential hardware
GCP_AMD_SEV
Outcome
Policy matched — access granted and evidence bundle generated.
Strategic shift
Observability → Proof
Observability explains what happened. Veritas proves the right thing happened under the right conditions.
Trust → Verification
Customers no longer rely on your claims. They verify execution using cryptographic evidence generated at runtime.
Security → Revenue
Security becomes externally visible and provable, accelerating procurement, trust, and enterprise adoption.
What can be verified
Verify Confidential Space image type and support attributes.
Validate image digest, signatures, and runtime configuration.
Detect env and command overrides before execution.
Verify service accounts and workload identity.
Restrict zone, project, and instance configuration.
Confirm confidential compute platform (AMD SEV / TDX).
Proof over promises
Trust is interpreted.
Proof is verified.
OLD MODEL
Requires interpretation
VERITAS
Deterministic proof
OUTCOME
Verifiable decision signal
Digital freedom stops where that of users begins... Nowadays, digital evolution must no longer be offered to a customer in trade-off between privacy and security. Privacy is not for sale, it's a valuable asset to protect.
- Stephane Nappo
Veritas makes that verification portable, cryptographic, and decision-ready.
Built for
high-trust workloads.
When execution cannot be verified, sensitive AI and cloud workloads face trust friction. Veritas is designed for the workflows where proof matters most.
Sensitive AI inference
Prove how financial, healthcare, identity, and regulated AI workloads handled sensitive data.
Attested execution environment
IncludedPortable evidence for customers
IncludedPolicy checks before access
IncludedEnterprise security reviews
Replace screenshots, questionnaires, and narrative explanations with machine-verifiable evidence.
Faster due diligence
IncludedReduced vendor trust friction
IncludedBetter audit defensibility
IncludedRuntime governance enforcement
Move from documented controls to policy-constrained execution with explicit approval checkpoints.
Human-in-the-loop controls
IncludedExecution-time enforcement
IncludedReduced policy drift
IncludedRegulated platform adoption
Unlock higher-trust use cases where external parties need proof, not assurances.
Fintech and RegTech
IncludedHealthcare and identity
IncludedCloud-native SaaS platforms
IncludedHow verifiable
execution works.
Bring a workload, define governance, execute in confidential environments, and export proof your customers and auditors can verify.
Bring your workload
Use your existing container, job, AI pipeline, or execution flow without re-architecting your stack.
Define governance policy
Specify the assertions that must be true about the image, container, VM, and operator configuration.
Run inside confidential infrastructure
Execute in confidential compute-backed environments where policy is enforced during runtime.
Generate portable proof
Export deterministic evidence bundles and attestation artifacts that external parties can verify.
Built for teams that cannot rely on “trust us”
Security leadership
CISO / Head of Security
Platform engineering
Cloud-native execution owners
AI and infrastructure teams
Enterprise-facing product builders
Why proof changes
your business case.
Veritas transforms security from an internal assurance function into externally verifiable trust that accelerates growth.
Shorten security reviews
42%
Drata reports 42% anticipate streamlined security reviews and enhanced risk management. Proof-ready evidence helps make that expectation operational.
Accelerate procurement
65%
Vanta reports that 65% say customers, investors, and suppliers increasingly require proof of compliance, making trust evidence part of deal progression.
Unlock sensitive use cases
+10 pts
Deloitte found regulatory compliance rose from 28% to 38% as a barrier to GenAI deployment, showing how trust and governance friction can block adoption.
Reduce vendor and compliance risk
30%
Vanta cites Verizon 2025 reporting that 30% of breaches were linked to third-party involvement, reinforcing the value of verifiable execution controls.
Strengthen audit defensibility
14 hrs/week
Drata reports GRC professionals spend an average of 14 hours per week on manual interventions, highlighting the cost of reconstruction-heavy audit processes.
Turn security into a revenue driver
83%
83% of enterprise buyers require SOC 2 before signing, and 67% of startups report it directly enabled deals they would have otherwise lost. Compliance is no longer a checkbox — it determines whether revenue is accessible.
Pricing aligned to assurance, not compute
Foundation
250,000 attested workload executions/year
250,000 attested workload executions/year
500 GB encrypted evidence storage
12-month rolling retention
Up to 10 governance policies
Up to 5 domains/environments
Human-in-the-loop approvals (basic)
Audit-ready evidence export
Best fit for initial production design partners
Growth
Enterprise
Pricing reflects assurance, governance, and trust acceleration.
Frequently asked questions
- What is a workload in Veritas?
- A workload is the code your team wants to run on sensitive data, typically packaged as a container, job, pipeline, or AI execution flow. Veritas governs how that workload executes and produces cryptographic evidence of the conditions under which it ran.
- Do we need to rewrite our applications?
- No. The goal is to bring existing workloads into a verifiable execution model with minimal architectural change, not force a full application rewrite.
- How is this different from observability?
- Observability explains what happened using logs, metrics, and traces. Veritas proves what happened correctly by enforcing policy during execution and generating portable attestation evidence.
- Is this a compliance product?
- Not primarily. Veritas is a trust and governance layer for AI and cloud workloads. It supports audits, procurement reviews, and defensible compliance evidence, but it is not just another compliance workflow tool.
- Who is this for?
- Security leaders, platform engineering teams, AI infrastructure companies, and cloud-native businesses that need stronger proof of how sensitive workloads handle data.
- Can this help us close enterprise deals faster?
- Yes. One of the core outcomes is reducing security review friction by replacing claims, screenshots, and interpretation with machine-checkable evidence.
- What does the evidence artifact actually show?
- It can show the workload identity, environment integrity, approval state, policy-constrained execution conditions, and the cryptographic attestation material needed to verify those claims.
- Can our customers independently verify the proof?
- That is the point. Veritas is designed to make trust portable, so customers, auditors, and regulators can verify how sensitive execution occurred instead of relying solely on internal assurances.
Still evaluating fit?
Book a demo or contact sales for a proof walkthrough and buyer-fit conversation.
Final call to action
Start proving
your systems.
Replace assumptions, screenshots, and post-hoc narratives with cryptographic proof of execution.