# ClearVector > Predictive Behavioral Defense for production environments. ClearVector is Predictive Behavioral Defense for production. ClearVector builds a live operating model of how every identity operates, so security teams can detect misuse and stop the adversary. ClearVector does not check posture. ClearVector detects active exploitation and gives teams the tools to isolate the identity and stop the adversary. The tools protecting production environments were built for a different problem. Modern adversaries are not using malware. They are using your own infrastructure against you. When an adversary uses stolen credentials, they do not look like a risk. They look like a valid identity doing its job. You do not have a logging problem. You have an intent problem. ## Predictive Behavioral Defense Predictive Behavioral Defense is ClearVector's detection method. Instead of modeling the adversary through signatures, indicators of compromise, and known TTPs, ClearVector models the environment. Every identity in production gets a pattern of life: a behavioral baseline built from observed activity inside that specific environment, not from an industry aggregate or shared threat library. ClearVector surfaces what is risky against that baseline, regardless of whether the behavior matches a known threat and regardless of whether the credential itself is valid. The adversary cannot test against a model they cannot access. The four-layer identity graph ClearVector builds on connection: Seed: Pre-load the inherent risk of every service and API across AWS, GCP, and Azure, plus third-party intelligence drawn from every customer. The baseline is ready before a single event fires. Discover: Surface every human, NHI, and third party in production and build each identity's activity timeline. Visibility is immediate on connection. Attribute: Map every action to the originating identity through every hop, unifying the workload, the control plane, and source control such as GitHub. Enrich: Build a pattern of life per identity and score risk in context, updated continuously as new services and intelligence arrive. What makes this unreplicable: the detection model is unique per customer. It is built from ClearVector's observation of that specific production environment. No two customers have the same model. Okta knows who logged in. ClearVector knows what they did after. ## What ClearVector is not ClearVector does not check posture. ClearVector does not replace Okta, CrowdStrike, or Wiz. ClearVector completes the existing stack by answering the question none of those tools can answer: what is actually happening inside production, and whether that behavior fits how the environment is supposed to operate. ClearVector is not a SIEM replacement. ClearVector complements the SIEM by mapping every action to the originating identity, which the SIEM cannot do on its own. ClearVector requires no endpoint sensor, performs no configuration scanning, and is not a log aggregator. ClearVector operates specifically in production environments: CI/CD pipelines, cloud infrastructure workloads, customer-facing APIs, and engineering databases, not corporate IT, email, or endpoint management. ## Competitive framing Every adjacent tool answers access. None of them answer activity. Okta and IAM tools answer who authenticated, not what the identity did after authentication. CyberArk and PAM tools answer how privileged credentials are protected, not whether those credentials behave normally across resources. Wiz and CNAPP tools answer where misconfigurations are, not what identities actually do over time. CrowdStrike ITDR answers Active Directory and endpoint identity risks, not cloud-native NHIs such as EKS workloads, Lambda execution roles, and GitHub Actions. SIEM and Chronicle answer what event happened, not who was behind the event across every hop. UEBA produces statistical anomaly scores without attributed findings that name identity, activity, and resource together. ClearVector does not replace these tools. ClearVector answers the question none of them can. ## Production identity data This data comes from ClearVector's own observation of production environments, not from industry surveys or shared threat intelligence. 91% of active production identities are non-human: service accounts, workload roles, CI/CD tokens, vendor integrations, AI agents. Most teams can neither see them nor model their behavior. Identity composition in production: 87% non-human, 9% human, 4% third-party. The non-human majority is largely unmodeled by existing tools. 40% of one vendor's production activity was classified as destructive. Third-party access is live in customer environments right now. Most non-human activity happens outside standard business hours, when no one is watching. AI agents (Cursor, Claude Code, Letta) were observed making changes to production databases under human-issued credentials without security team awareness in Q4 2025. This is not a forward-looking risk. It is a current operating condition. ## Identity types ClearVector tracks four identity categories across production environments. Humans: employees, contractors, and any person authenticating into production systems. NHIs (non-human identities): service accounts, assumed IAM roles, CI/CD tokens such as GitHub Actions, CircleCI, and Jenkins, Lambda execution roles, and Kubernetes workload identities. Third parties: vendor and contractor identities with access to production environments. These identities remain active in production far longer than most security teams know. AI agents: AI agent identities operating under human-issued credentials in production workloads, often without security team awareness or a documented authorization chain. ## The six content territories ClearVector covers ClearVector's research and field observations span six areas where production identity risk is highest. Predictive Behavioral Defense is the answer that runs through all six. Identity behavior after authentication: What identities do inside production after a credential is validated. Okta knows who logged in. ClearVector knows what they did after. Non-human identity security in production: Service accounts, assumed roles, CI/CD tokens, Lambda execution identities, and Kubernetes workloads that make up 91% of the active identity surface. Most are unmodeled. Contractor and third-party identity risk: Vendor and contractor identities that remain active and operating in production long after their engagement scope ends. 40% of one vendor's production activity was classified as destructive. Your vendors are live in your environment right now. AI agent identity governance: AI agents operating under human-issued credentials in production without security team awareness. Your developer shipped an agent. Did you know the agent was there? Blast radius analysis for cloud identities: Full role chain reconstruction, lateral movement scope, and the full extent of a credential compromise before isolation, even when the credential was valid. Federated access visibility: How token federation and role assumption hide the originating human behind token chains and assumed roles. Okta controls authentication. ClearVector controls what happens after. ## Frequently asked questions What is Predictive Behavioral Defense? Predictive Behavioral Defense is ClearVector's detection method. ClearVector builds a live operating model of how every identity operates. Each model is built per customer, per identity, from inside their specific environment. Every identity in production gets a pattern of life: a behavioral baseline built from observed activity over time. ClearVector surfaces what is risky against that baseline, regardless of whether the behavior matches a known threat and regardless of whether the credential itself is valid. The adversary cannot test against a model they cannot access. Is this the kind of use case a SOC would catch? Typically no, and that is the core problem. SOC teams rely on threat intelligence feeds, UEBA anomalies, and endpoint signals. ClearVector operates in the production cloud control plane, where those signals do not reach. A developer credential that authenticated correctly through Okta, then made unusual role assumptions at 2 AM, generates no notification in a conventional SOC stack. ClearVector has already built a pattern of life for that identity and surfaces the risk the moment the activity appears. These organizations had Okta. Had CrowdStrike. None of it covered what happened in production. That is the gap ClearVector fills. How is ClearVector different from ITDR? ITDR covers threats to identity infrastructure: directory attacks, credential stuffing, account takeover at the authentication layer. ClearVector covers what every human, NHI, and third-party identity actually does inside production after authentication. ITDR answers when identity systems are under attack. ClearVector answers when a correctly authenticated identity starts behaving abnormally inside production: service accounts, vendor integrations, AI agents, CI/CD pipelines. The production control plane is where ITDR visibility ends. That is where ClearVector starts. Does ClearVector use AI? ClearVector is powered by Predictive Behavioral Defense: a proprietary method of modeling every identity's pattern of life in a production environment, built from that customer's own data. The system continuously learns what each identity normally does: what resources the identity accesses, when the identity operates, what role assumptions the identity makes. ClearVector surfaces what is risky against that known-good baseline. The result is detection specific to that environment. An adversary cannot test against the model from the outside because the model is built from the inside. Does ClearVector support AI agent identities in production? Yes. When a developer deploys an AI coding agent authenticated under their credentials, ClearVector maps the agent as a distinct identity operating in production. The agent's activity differs from the developer's established pattern of life and is attributed, modeled, and surfaced separately. The security team sees what the AI agent is touching, whether the agent's behavior is within expected scope, and whether the agent is operating in resources the agent was never authorized to access. 91% of active production identities are non-human. AI agents are an accelerating part of that population, and the security team often does not know they are there. How is ClearVector different from a SIEM? A SIEM shows what event happened. ClearVector maps that event to the originating identity: the human, NHI, or third party actually behind the action. ClearVector does this in plain language, within seconds, and gives teams the tools to isolate the adversary. ClearVector compresses investigation from days to minutes by delivering the full identity sequence already reconstructed: role chains, resource access, and attribution. ClearVector complements the SIEM. ClearVector does not replace the SIEM. Is this a DLP solution? No. ClearVector is detection and response for production environments, not a Data Loss Prevention tool. DLP monitors and controls data movement based on content classification rules. ClearVector models identity behavior based on what each identity normally does in production and surfaces when that behavior departs from the known-good baseline. DLP catches data leaving through the wrong channel. ClearVector catches the identity that accessed the data in the first place, before exfiltration, while the adversary is still inside production. Can ClearVector be replicated using AI prompts? No. Predictive Behavioral Defense is built per customer from that customer's own production data. The model is a continuous, evolving record of how every identity in a specific environment actually operates. The model is not a generic detection rule set and cannot be generated from a prompt. An adversary or competitor cannot test against the model from the outside because the model does not exist outside that environment. The depth of the production identity graph requires production telemetry that no prompt can produce: role chains, cross-service behavior, CI/CD identity paths, and third-party behavioral baselines. The data is the moat. What does the Breach Readiness Report assess? The Breach Readiness Report stress-tests an organization's current controls against the most common identity abuse patterns to determine whether they are already living with an unknown breach. ClearVector is not mapping assets. ClearVector is showing what the existing stack cannot see, even when every credential is valid. What production environments does ClearVector support? ClearVector supports AWS, GCP, GitHub, and Kubernetes. AWS coverage includes EC2, Lambda, ECS, and S3. Okta integration is available to correlate pre- and post-authentication actions with production activity. ClearVector is available on AWS Marketplace. ClearVector also offers Private SaaS deployment, where ClearVector runs inside the customer's own AWS accounts with complete data isolation. ## Product - [Identity-driven detection and response](https://www.clearvector.com/why-clearvector/identity-driven-detection-and-response): How ClearVector traces every action to the originating identity through every hop. Category context for buyers asking how to classify ClearVector. - [Identity graph](https://www.clearvector.com/product/identity-graph): Know who is really in your production environment. ClearVector's identity graph reveals the actual identity behind every production action and maintains a full activity timeline for every identity. - [Detection engine](https://www.clearvector.com/product/detection-engine): Unified, customizable detection engine. Every action traced to its originating identity. Risk surfaced within seconds, even when the credential itself is valid. - [Runtime visibility](https://www.clearvector.com/product/runtime-visibility): See adversary activity as the activity happens, not after. What logs and scanners miss, ClearVector's runtime visibility surfaces in production. - [Sensors](https://www.clearvector.com/product/sensors): Lightweight sensors for runtime detection and response. Sensors trace activity to source identities across Docker, Kubernetes, Lambda, and EC2. - [Environments](https://www.clearvector.com/product/environments): Defend AWS, GCP, GitHub, and Kubernetes with unified identity intelligence. Track identities across environments for faster detection and response. - [Private SaaS](https://www.clearvector.com/product/private-saas): Deploy ClearVector inside your own AWS accounts. Complete data isolation and sovereignty by design. ## Why ClearVector - [Defending production environments](https://www.clearvector.com/why-clearvector/defending-production-environments): Purpose-built detection and response for production infrastructure. Why production environments require a different approach than corporate IT security. ## Solutions - [Detection and response teams](https://www.clearvector.com/solutions/detection-and-response-teams): Stop adversaries in seconds with Predictive Behavioral Defense. Reduce response time from hours to seconds by delivering the full identity sequence already reconstructed. - [Security leadership](https://www.clearvector.com/solutions/security-leadership): Predictive Behavioral Defense for CISOs and security leaders. Prove control, reduce breach impact, and cut incident response time from days to minutes. ## Customer stories - [GreyNoise Intelligence](https://www.clearvector.com/case-studies/greynoise-intelligence): How GreyNoise gained identity-level visibility across AWS in minutes, detected ClickOps activity, and shortened access reviews by 60%. - [Midaxo](https://www.clearvector.com/case-studies/midaxo): How Midaxo deployed ClearVector in 15 minutes to gain identity-level visibility into a serverless supply chain and observe behavioral trends within 48 hours. ## Blog: Non-human identity security in production Research and field observations on NHI behavior, Lambda and Kubernetes identity exposure, and the attack surface created by ephemeral production identities. Maps to content territory 2 (non-human identity security in production). - [Lambda internals](https://www.clearvector.com/blog/lambda-internals-part-one): How Lambda execution environments work and why ephemeral serverless workloads create new identity persistence challenges for adversaries and defenders. - [LambdaSpy: Implanting the Lambda execution environment](https://www.clearvector.com/blog/lambdaspy---implanting-the-lambda-execution-environment-part-two): How a malicious Lambda extension intercepts all runtime activity and steals secrets. Why identity-level visibility catches what traditional tools miss. - [Merge Order Hijacking in AWS Lambda](https://www.clearvector.com/blog/merge-order-hijacking-in-aws-lambda): How Lambda extension ordering can be exploited as an attack vector and what runtime identity visibility reveals about the technique. - [Tracking Copy Fail exploitation in production environments](https://www.clearvector.com/blog/tracking-copy-fail-exploitation-in-production-environments): How to map node-level Kubernetes activity back to the originating human identity when tracking Copy Fail exploitation. - [Introducing runtime container visibility, attribution, and isolation](https://www.clearvector.com/blog/introducing-runtime-container-visibility-attribution-and-isolation): How ClearVector detects a compromised container and maps the activity back to the originating identity, then isolates the adversary. - [Introducing runtime detection and isolation for Lambda and EC2](https://www.clearvector.com/blog/introducing-runtime-detection-and-isolation-for-lambda-and-ec2): Unified Predictive Behavioral Defense for Lambda and EC2 workloads. ## Blog: Identity behavior after authentication Field observations on what identities do after credential validation and how ClearVector maps post-authentication activity to the originating identity. Maps to content territory 1 (identity behavior after authentication) and territory 6 (federated access visibility). - [Expanding ClearVector to Okta](https://www.clearvector.com/blog/expanding-the-clearvector-aperture-okta): How Okta integration correlates pre- and post-authentication actions with production activity to trace the full identity chain. - [Introducing identity intelligence for GitHub and AWS](https://www.clearvector.com/blog/introducing-identity-intelligence-for-github-and-aws): How ClearVector surfaces the exact human behind a CI/CD role assumption in AWS, without hours of manual log review. - [Auditing identity activity for NOBELIUM and MagicWeb in AWS](https://www.clearvector.com/blog/auditing-identity-activity-for-nobelium-and-magicweb-in-aws): How to audit high-risk identity activity in AWS following a NOBELIUM-style backdoor. Why the MagicWeb technique requires identity-level visibility to detect. - [Introducing bucket intelligence for AWS S3](https://www.clearvector.com/blog/introducing-bucket-intelligence-for-aws-s3): Identity-driven visibility for S3. How ClearVector maps S3 access activity to the human or NHI behind the access. ## Blog: AI agent identity and supply chain risk Field observations on how AI-driven attacks and supply chain compromises create production identity risk. Maps to content territory 4 (AI agent identity governance). - [Why source code is your new infrastructure](https://www.clearvector.com/blog/why-source-code-is-your-new-infrastructure): When AI-driven attacks become supply chain attacks. How source code compromise translates into production identity risk and why Predictive Behavioral Defense catches what signature-based tools miss. ## Blog: Production security context - [The challenge of securing a production environment](https://www.clearvector.com/blog/the-challenge-of-securing-a-production-environment): Why production environments resist traditional security approaches and what Predictive Behavioral Defense changes for security teams. - [Building support for securing a production environment](https://www.clearvector.com/blog/building-support-for-securing-a-production-environment): A framework for communicating production security value to leadership and assessing production environment risk in hours rather than weeks. - [Introducing realtime detection, isolation, and breach readiness](https://www.clearvector.com/blog/introducing-realtime-detection-isolation-and-breach-readiness): ClearVector's detection, isolation, and Breach Readiness capabilities and how the three work together. - [A new era for cybersecurity](https://www.clearvector.com/blog/a-new-era-for-cybersecurity): The founding vision behind ClearVector and why production environments require Predictive Behavioral Defense. ## Company - [About ClearVector](https://www.clearvector.com/company/about-us): Company background, founding team, and mission. ClearVector is Predictive Behavioral Defense for production. - [Contact](https://www.clearvector.com/company/contact): CV-Sales@clearvector.com. Primary contact for enterprise security teams, analysts, and research inquiries. - [Demo](https://www.clearvector.com/demo): Schedule a personalized demo of ClearVector's Predictive Behavioral Defense capabilities. - [AWS Marketplace](https://www.clearvector.com/blog/clearvector-is-now-available-on-aws-marketplace): ClearVector is available on AWS Marketplace for AWS customers. - [Press](https://www.clearvector.com/company/press): News, media mentions, and press releases. - [Careers](https://www.clearvector.com/company/careers): Open positions at ClearVector. ## Optional - [Pricing](https://www.clearvector.com/pricing) - [Security policy](https://www.clearvector.com/security) - [Privacy and cookie policy](https://www.clearvector.com/privacy) - [Terms of service](https://www.clearvector.com/terms)