Your security stack was built for the era when AI gave answers, not when it took actions. BladeRun is by the team that shipped the trust layer for mobile banking.

5
regulations mapped on day one
3 to 5
Tier 1 design partners for 2026
1 hr
meeting, no commitment
48 hr
visible pilot results, reversible
Three gaps nobody has closed for banks

Your existing stack does not see what your AI agents do.

Endpoint detection, identity, and DLP all assume a human at a workstation. The AI agent attack surface is below all three. These are the three gaps every bank we've spoken with has independently identified, and the ones BladeRun was built to close.

Gap 01

No agent identity

Your AI agents have no cryptographic identity. When an agent moves money or exfiltrates data, there is no signed record of which agent did it, which human authorized the session, or what policy was in effect. If an examiner asks you to prove an AI-initiated transaction was authorized, you cannot.

BladeRun closes itSentinel SDK signs every agent session. Gateway rejects unsigned traffic at L1.
Gap 02

No full audit trail

Today's logs capture the LLM response, not the full chain. You do not have the original prompt, the tool calls the agent made, the sub-agents it spawned, the data it accessed, or the decisions it made between. You cannot reconstruct a breach. You cannot replay an incident for examiners.

BladeRun closes itTime Machine writes every prompt, tool call, sub-agent spawn to your S3 bucket, your KMS keys.
Gap 03

No kill switch

If your SOC detects a rogue agent, compromised via prompt injection, a malicious MCP server, or a stolen API key, your current options are: manually revoke API keys across multiple systems (20–40 minutes), or shut down the entire AI infrastructure. Neither is acceptable.

BladeRun closes itKill Switch isolates the session in milliseconds via Redis pub/sub. No SOC analyst required.
The examination sheet

Your examiners are already asking these questions.

FFIEC and OCC AI examination activity increased through 2024–2025. These are the questions on the exam sheet, the exposure if you cannot answer them, and the BladeRun module that does.

RegulationExaminer questionYour exposure todayBladeRun answer
FFIEC AI GuidanceCan you demonstrate explainability and auditability for every AI decision affecting a customer or financial transaction?If an AI agent initiates a wire and you cannot reconstruct the prompt chain that authorized it, you fail this requirement. Matters Requiring Attention finding.Time Machine
OCC SR 26-2Is every model subject to ongoing monitoring, performance validation, and governance controls?SR 26-2 leaves agentic AI out of scope, but there's no safe harbor. Examiners still apply model-risk and safety-and-soundness principles. Agents acting without logged inputs and outputs are exactly what draws unsafe-or-unsound scrutiny.Overseer + Time Machine
GLBA / Reg PAre there technical safeguards preventing unauthorized access to or disclosure of customer NPI?An agent with read access to customer records and no output inspection layer can exfiltrate NPI through normal-looking API calls. No safeguard = no defense.Gateway DLP
PCI-DSS 4.0Is cardholder data protected across all processing environments, including AI-assisted workflows?PAN, CVV, and account numbers in agent prompts violate PCI-DSS. Agent-initiated payment flows compound the scope without runtime DLP.Gateway DLP + Kill Switch
EU AI Act · 9 / 12Do your high-risk AI systems maintain operational logs, support human oversight, and allow post-hoc auditability?Any AI system affecting fraud or credit classification is high-risk. Without a kill switch and full logging, you are non-compliant by definition.Kill Switch + Time Machine
CFPB § 1033 · Open BankingCan you identify, verify, and attribute every third-party agent accessing customer financial data on a consumer's behalf?AI agents are the fastest-growing class of "authorized third party." A consumer telling an agent to pull her transactions is a 1033 access event, and the bank still owns the security obligation, and per-caller attribution, at its boundary.Gateway
How banks buy

We have been through your procurement process. Twice.

VRA, ARB, Legal, InfoSec, Compliance, Procurement. We know the order, the artifacts, the timelines, and the friction points. The design partner program is engineered around that workflow, not around it.

VRA · Information Security60 to 90 days

Vendor Risk Assessment

Completed VRA questionnaire, SOC 2 Type II, penetration test results, data-flow diagrams, subprocessor list, IR procedures.

ARB · Enterprise Architecture30 to 60 days

Architecture Review Board

Reference architecture, deployment diagrams, network topology, identity integration patterns. We bring documentation pre-formatted for your ARB template.

Legal · Privacy30 to 45 days

Legal & privacy review

MSA, DPA, BAA where applicable. Federation Network privacy contract reviewed separately and gated to a different signoff path.

Bank-led pilot30 to 60 days

Pilot in one workflow

Gateway in shadow mode for week one. Enforcement enabled with SOC sign-off. Reversible by routing rule. Full Time Machine evidence from day one.

The bank-specific moat

Cross-bank AI threat intelligence, the network only banks can build together.

No endpoint vendor sits in the AI agent call path. No model provider can govern another provider's traffic. No bank's signal alone is a network. The Federation is the structural moat that compounds with every bank that joins, and founding members shape the detection model that every future member inherits.

Day one

Threat Research rule corpus

The full BladeRun Threat Research-derived rule corpus arrives with your local engine on day one. No member-correlation dependency required. Novel-attack coverage before any peer has seen the technique in production.

Day one

Honeypot Network

Decoy MCP endpoints and decoy public-facing agents catch in-the-wild attack techniques before they reach a real bank surface. Synthetic data only, cleanest privacy posture of any signal source.

Compounds

Cross-Member Correlation

k-anonymity floor. Blind-index member identity. Salted hashing. Differential privacy on baseline gradients. As the network grows, cross-member rules add a third layer that compounds the others.

Why us

A third company in the same domain, by the same founders.

We have been here before. Twice. We have shipped products that became regulatory expectations. We have gone through OCC examiner scrutiny. We know which conversations matter and which do not.

2010

Smobile → Juniper Networks

Built enterprise mobile security infrastructure before MDM was a category. The security layer for mobile endpoints when banks were asking the same question they are asking now: how do we control what these things can do? Acquired by Juniper Networks in 2010.

2016

InAuth → American Express

Built the device intelligence and authentication platform that became the trust layer for mobile banking at the largest US banks and card networks. Acquired by American Express in 2016 because the technology had been adopted across the industry as infrastructure, not a point product.

The platform

Every component runs in your environment.

Common questions

What CISOs and architecture leads ask first.

Is BladeRun ready for OCC examination today?
The deterministic enforcement plane is designed to be defensible under SR 26-2 from day one, z-scores, n-grams, and one narrowly-scoped classifier with a documented FP-rate SLA. The one autoregressive LLM in the system has zero enforcement authority. We provide the model risk management documentation pack as part of the design partner onboarding.
Can BladeRun deploy on-premises or in our VPC?
Yes. SaaS, on-premises (your VPC), and air-gapped deployments deliver the same detection capability. SaaS deploys in days. On-premises meets OCC and Federal Reserve constraints on data flow. Federation participation is opt-in for both modes and reversible at any time.
What's your SOC 2 status?
SOC 2 Type II is in scope; report target is Q3 2026. Type I report is available now. Pen test results and the full subprocessor list are available under NDA. Standard Tier 1 bank VRA questionnaires (SIG, CAIQ, custom) are pre-completed.
How does this work alongside our existing CrowdStrike / SentinelOne / Microsoft Defender deployment?
Additive, not competitive. Endpoint detection vendors operate at the OS and process layer; identity vendors at the authentication layer. Neither sits in the AI agent call path, the prompt, the tool invocation, the model response. BladeRun complements them. Detection events flow into your existing SIEM alongside endpoint and identity events.
What does the design partner program cost?
Design partner pricing for the 2026 cohort. Direct access to founders. Your threat model shapes the roadmap. Founding seat in the Federation governance body. Specific terms scoped per institution; the design partner cohort closes at five Tier 1 banks.
Can we start with one workflow before committing to the full deployment?
That is the recommended path. Pilot the Gateway in one workflow, your choice, for 30 to 60 days. Shadow mode for the first week. Full Time Machine evidence from day one. Reversible by routing rule. You take the output regardless of whether you proceed.
Start with a conversation

The agents are running. The examiners are asking.

A 1-hour meeting with your AI architecture team. We map every AI API call your bank is making today, using only network metadata. No commitment. No procurement. Just visibility.