Your vendors are
inside the perimeter.
Are they behaving?
Quake VDR gives SOC teams runtime visibility and surgical control over every third-party SaaS vendor and AI agent operating inside your environment — detecting anomalies, profiling behavior, and containing threats without revoking access.
The Vendor Runtime
Blind Spot
Every major third-party breach of the last five years followed the same pattern: a trusted vendor, operating inside the perimeter, doing something it shouldn't. And nobody noticed in time.
No Runtime Visibility
SSPM tells you what access vendors have. Nobody tells you what they're doing with it — right now, at 2am, in production.
Integration Sprawl
The average enterprise runs 200+ SaaS tools, each with deep OAuth access to sensitive data. Every new integration expands the attack surface.
AI Agent Explosion
AI agents now act autonomously inside your environment — reading emails, writing code, querying databases — with no behavioral baseline or anomaly detection.
Identity-Centric Blind Spot
NHI tools focus on the credential, not the vendor. They can't answer: 'Is this vendor behaving like it normally does?' — the only question that matters.
"The SOC has tools for users, tools for endpoints, tools for cloud infrastructure. But when a vendor goes rogue — when Salesforce starts exfiltrating data at 3am — there is no tool that catches it."
Vendor Detection
& Response
VDR is to the Integration Era what CDR was to the Cloud Era — a new security category purpose-built for the threat model that existing tools were never designed to address.
Vendor Behavioral Profiling
Quake builds a Mission Profile for every vendor — a behavioral baseline that captures what data it accesses, when, how often, and in what sequence. Deviations from this profile trigger alerts.
Runtime Anomaly Detection
Unlike SSPM (which audits configurations) or NHI (which manages credentials), Quake monitors the live runtime behavior of vendors — catching anomalies as they occur, not after the fact.
Surgical Containment
When a vendor behaves anomalously, Quake doesn't just alert — it acts. SOC teams can throttle specific API calls, pause data export actions, or block targeted operations without revoking the entire integration.
Vendor-Centric Investigation
Every vendor action is logged in a vendor-centric timeline, enabling SOC analysts to reconstruct exactly what a vendor did, when, and why — providing the forensic evidence needed for incident response.
| Capability | SSPM | NHI | Quake VDR |
|---|---|---|---|
| What access does a vendor have? | ✓ | ✓ | ✓ |
| Is the vendor's credential valid? | — | ✓ | ✓ |
| What is the vendor doing RIGHT NOW? | — | — | ✓ |
| Is this behavior normal for this vendor? | — | — | ✓ |
| Surgical containment (not token revoke) | — | — | ✓ |
| Vendor-centric forensic timeline | — | — | ✓ |
| AI agent behavioral monitoring | — | — | ✓ |
The Mission Profile
Engine
Every vendor has a job to do. The Mission Profile captures exactly what that job looks like in behavioral terms — creating a multi-dimensional fingerprint that makes anomalies immediately visible.
Passive Learning
Quake monitors vendor behavior for 7–30 days, building a statistical model of normal operations without any configuration required.
Mission Profile Creation
The behavioral baseline is codified into a Mission Profile — a multi-dimensional fingerprint of what 'normal' looks like for this vendor in this environment.
Continuous Drift Detection
Every vendor action is scored against its Mission Profile in real time. Statistical deviations trigger alerts proportional to their severity and context.
Surgical Containment
When drift exceeds thresholds, Quake enables targeted response: throttle the anomalous action, pause the vendor, or block specific API calls — without breaking the integration.
The SOC Transition
Is Happening Now
Every major security category was created in response to a new threat surface. The Integration Era — defined by SaaS sprawl and autonomous AI agents — is creating the next one.
| Era | Years | Primary Tool | Threat Addressed | Remaining Gap |
|---|---|---|---|---|
| Perimeter Era | 1990s–2010 | Firewall / IDS | External attackers trying to get in | Couldn't see inside the network |
| Endpoint Era | 2010–2018 | EDR / AV | Malware on user devices | Couldn't see cloud workloads |
| Cloud Era | 2018–2023 | CDR / CSPM | Misconfigured cloud infrastructure | Couldn't see SaaS vendor behavior |
| Integration Era | 2023–Present | VDR (Quake) | Compromised/rogue vendors & AI agents | This is the gap Quake closes |
Autonomous AI agents
Tools like Devin, Cursor, and Claude Code now execute multi-step workflows autonomously inside enterprise environments — reading codebases, pushing commits, querying databases.
MCP & tool-use protocols
The Model Context Protocol (MCP) enables AI models to call external tools and APIs directly. Every MCP server is a new integration surface with no behavioral monitoring.
Agentic SaaS integrations
Salesforce Agentforce, HubSpot AI, Zendesk AI — every major SaaS vendor is embedding autonomous AI capabilities that act on behalf of users without user-level oversight.
Regulatory pressure
SEC, DORA, and NIS2 are beginning to require demonstrable third-party runtime monitoring. Governance frameworks are catching up to the threat model.
When enterprises moved to cloud, they gained infrastructure they couldn't see. Existing tools (firewalls, EDR) had no visibility into EC2 instances, S3 buckets, or Lambda functions. CDR was created to fill this gap — and became a multi-billion dollar category.
As enterprises adopted SaaS and AI agents, they gained vendors they can't see. Existing tools (SSPM, NHI, SIEM) have no visibility into what vendors are doing at runtime. VDR is being created to fill this gap — and the market timing is identical to CDR in 2018.
Why Existing Tools
Cannot Fill This Gap
Every existing security category was designed for a different threat model. None of them were built to answer the question Quake answers: "Is this vendor behaving normally right now?"
SSPM
Audits SaaS configurations, permissions, and compliance posture. Tells you what access exists.
Configuration-time, not runtime. Cannot detect behavioral anomalies. No containment capability.
Quake operates at runtime, not configuration time. SSPM answers 'what access exists?' — Quake answers 'what is happening right now?'
Vendor-Centric Detection
The fundamental innovation in Quake VDR is the shift from an identity-centric or user-centric detection model to a vendor-centric detection model.
Instead of asking "which user or credential performed this action?" — Quake asks "is this vendor behaving like it normally does?" This reframing creates an entirely new detection surface that existing tools cannot replicate without fundamentally rebuilding their data model.
Why Competitors Cannot
Easily Replicate Quake
Quake's moat is not architectural (inline vs. API-based) — it is perspectival. The vendor-centric lens, the behavioral dataset, and the Mission Profile engine create compounding advantages that incumbents cannot retrofit onto their existing architectures.
The Vendor-First Dataset
Quake accumulates a proprietary dataset of vendor behavioral patterns across thousands of deployments. This dataset — what 'normal' looks like for Salesforce, GitHub, Workday, OpenAI — becomes a compounding moat. Competitors cannot replicate it without years of deployment.
The Mission Profile Engine
The behavioral profiling engine is purpose-built for vendor-centric detection. It understands the difference between a Salesforce CRM integration and a Salesforce Marketing Cloud integration — and profiles each independently. This specificity cannot be retrofitted onto existing identity or log-based architectures.
The Vendor-Centric Threat Model
Quake's detection logic is built around vendor workflows, not user actions or network packets. This means the threat model — what constitutes an anomaly for a CRM vs. a DevOps tool vs. an AI agent — is fundamentally different from any existing SOC tool.
Surgical Containment Architecture
The ability to throttle, pause, or block specific vendor actions (rather than revoking the entire integration) requires deep integration with vendor APIs and a sophisticated action-level control plane. This is a significant engineering investment that incumbents have no incentive to build.
The SOC Workflow Integration
Quake is designed to fit into existing SOC workflows — SIEM ingestion, SOAR playbooks, ticketing integration. This makes it a complement to, not a replacement for, existing tools. This positioning reduces sales friction and accelerates adoption.
First-Mover Advantage in AI Agents
As AI agents proliferate, the need for behavioral monitoring of autonomous systems becomes critical. Quake's Mission Profile engine applies directly to AI agents — creating a first-mover advantage in a market that will be orders of magnitude larger than SaaS vendor monitoring alone.
Perspective is the Moat
CrowdStrike could add vendor monitoring to Falcon. Okta could add behavioral analytics to their NHI product. But they would be building it with a user-centric or identity-centric perspective — and that perspective determines what you can and cannot detect.
Who Needs Quake
VDR Most
The ideal Quake customer has a mature SOC, a complex integration ecosystem, and a CISO who has already been burned by a third-party incident — or is terrified of the next one.
SOC Analyst / IR Lead
Alert fatigue from tools that don't understand vendor context. No way to investigate vendor-specific incidents. Containment requires full token revocation (too disruptive).
Vendor-centric alerts with full behavioral context. Surgical containment that doesn't break integrations. Vendor-specific forensic timelines for IR.
Head of Security Engineering
Growing integration surface with no runtime visibility. AI agent deployments outpacing security controls. No tooling to enforce vendor behavioral policies.
Programmatic vendor behavioral policies. API-first integration with existing security stack. Behavioral baselines that scale automatically.
CISO
Board pressure on third-party risk. Regulatory requirements for vendor runtime monitoring. Cannot demonstrate control over vendor behavior to auditors.
Board-level narrative: 'We monitor vendor behavior at runtime.' Regulatory evidence for DORA, SOC 2, HIPAA. Quantified vendor risk reduction.
Financial Services
Highest regulatory pressure, most mature SOC teams, highest willingness to pay, and most acute vendor sprawl risk (fintech integrations, trading APIs, payment processors).
Enterprise SaaS / AI-Native
Highest AI agent adoption, most complex integration ecosystems, security-conscious engineering culture, and direct understanding of the vendor runtime problem.
HealthTech & Life Sciences
HIPAA and FDA compliance requirements create strong regulatory pull. High-value PHI data makes vendor runtime monitoring a compliance necessity, not just a security best practice.
See what your vendors
are doing right now.
Quake VDR is available for early access to select enterprise SOC teams. If you have 50+ SaaS integrations and a security team that cares about vendor runtime behavior, we want to talk.