Typed Security Capabilities

Continuously ingests CVE feeds and automatically generates RMCP-compliant security policies to address newly discovered vulnerabilities across your infrastructure.

Translates plain English security requirements into structured, enforceable policy definitions. Describe what you need and BLCK-BRT generates the policy.

Maps your security controls across multiple compliance frameworks simultaneously, identifying gaps and generating cross-framework evidence packages.

Compares current and proposed policies, explains the differences in plain English, and highlights the security implications of every change.

Stress-tests your security policies by simulating adversarial scenarios, identifying weaknesses and bypass opportunities before attackers do.

Identifies conflicting security policies across your environment and recommends resolution strategies that maintain security posture.

Tracks every policy change with full version history. Roll back to any previous state with one click if a policy causes issues.

Analyzes your environment context — workloads, namespaces, team structure — and recommends security policies tailored to your specific infrastructure.

Eliminates redundant controls across compliance frameworks, reducing audit overhead while maintaining full coverage.

Create base policy templates that child policies inherit from. Change the parent, and all children update automatically across your organization.

Connects to live threat intelligence feeds and maps incoming threats to your existing policies and infrastructure.

Maps known threat actor tactics, techniques, and procedures against your deployed policies to identify coverage gaps.

When a zero-day drops, instantly assess which of your systems are affected and generate mitigation policies before patches are available.

Converts indicators of compromise into actionable network policies, blocking rules, and detection signatures automatically.

Generates targeted threat hunting queries for your SIEM, log aggregator, or monitoring stack based on current threat landscape.

Monitors dark web sources for mentions of your organization, credentials, or infrastructure and generates protective policies.

Scores the risk level of your software supply chain dependencies based on vulnerability history, maintainer activity, and known compromises.

Factors geopolitical events into threat assessments, adjusting risk scores and recommendations based on regional threat landscape changes.

Tailors threat intelligence to your specific industry vertical — healthcare, finance, government, tech — with sector-specific risk analysis.

Distills complex threat reports into actionable executive summaries with clear impact assessments and recommended actions.

Detects when deployed configurations drift from compliance baselines and automatically generates corrective policies to restore compliance.

When a threat is detected, automatically generates and stages containment policies to isolate affected workloads with human approval.

Detects unauthorized privilege escalation attempts and automatically revokes elevated permissions while logging the incident.

Identifies service accounts exhibiting unusual behavior patterns and suspends them pending investigation.

Automatically generates network policies to isolate compromised segments while maintaining critical service connectivity.

Triggers immediate credential rotation when anomalous access patterns are detected on sensitive accounts or service tokens.

Automatically captures and preserves forensic evidence — logs, configs, state snapshots — the moment an incident is detected.

Generates comprehensive emergency lockdown policies that can isolate an entire cluster or namespace with one approval click.

When a deployed policy causes issues, automatically generates rollback artifacts to restore the previous known-good state.

Routes approval requests to the appropriate authority level based on the calculated risk score — low-risk auto-approves, high-risk escalates.

Maintains context across multi-turn conversations, remembering previous policies discussed and building on prior security decisions.

Remembers your infrastructure details — cluster topology, namespace structure, team roles — across sessions for personalized recommendations.

Compare any two versions of a policy and get a plain English explanation of what changed, why it matters, and what the security implications are.

Translates complex compliance gaps into clear, actionable language that non-technical stakeholders can understand and act on.

Interact with BLCK-BRT through voice commands during active incidents when your hands are busy with terminal operations.

Step-by-step guided compliance assessment through conversation. BLCK-BRT asks the right questions and builds your compliance profile.

Iteratively refine policies through conversation. Ask BLCK-BRT to tighten permissions, add exceptions, or adjust scope until the policy is perfect.

Generates automated weekly compliance posture summaries highlighting changes, drift, new risks, and recommended actions.

Translates technical security data into executive-ready reports with business impact framing, risk scoring, and strategic recommendations.

Simulates auditor questioning to prepare your team for compliance audits. BLCK-BRT asks the questions auditors will ask and helps you prepare answers.

Continuously monitors RBAC configurations and alerts when permissions drift from approved baselines.

Detects changes to network policies that deviate from approved configurations and alerts security teams immediately.

Monitors encryption status across all data stores, transit paths, and secrets to ensure nothing falls out of compliance.

Identifies service accounts that have accumulated permissions beyond their original scope over time.

Monitors AI model serving endpoints for unauthorized access, unexpected traffic patterns, or data exfiltration attempts.

Scans running container images for known vulnerabilities and generates remediation policies prioritized by severity.

Scans environment variables, config maps, and pod specs for accidentally exposed secrets, API keys, or credentials.

Monitors network traffic patterns and alerts on unusual ingress or egress that could indicate data exfiltration or command-and-control activity.

Analyzes pod crash loops and restart patterns to identify potential security issues, resource attacks, or misconfigurations.

Detects workloads exceeding resource quotas or attempting to bypass limits, which may indicate cryptomining or denial-of-service attacks.

Generates minimal-permission RBAC policies based on actual workload requirements, eliminating over-privileged access.

Audits all service accounts, identifies unused or over-privileged accounts, and generates cleanup policies.

Enforces credential rotation schedules across service accounts, API keys, and certificates with automated reminders and enforcement.

Generates deny-all-by-default network policies and explicitly allows only required communication paths between services.

Validates that cross-namespace access is explicitly authorized and follows least-privilege principles.

Audits cluster-wide roles and bindings for overly broad permissions that could enable lateral movement.

Validates OAuth and OIDC token configurations for proper scoping, expiration, and audience restrictions.

Analyzes API server audit logs to identify suspicious access patterns, unauthorized requests, and potential intrusion attempts.

Generates admission controller policies that enforce security standards at deploy time — before workloads ever run.

Generates and enforces OpenShift SCCs that restrict container capabilities, user IDs, and host access.

Detects API requests using user impersonation and alerts when impersonation is used outside approved workflows.

Identifies accounts that haven't been used within policy thresholds and stages them for deprovisioning.

Audits identity federation across multiple clusters to ensure consistent access controls and prevent trust boundary violations.

Before any policy deploys, estimates the exact impact — pods affected, namespaces touched, services disrupted, credentials impacted.

Uses historical data and current trends to predict future compliance risks and recommend preventive actions.

Monitors regulatory changes and automatically analyzes how new requirements impact your existing security policies.

Factors SLA commitments into incident response prioritization, ensuring contractual obligations are met during security events.

Generates complete SOC2 readiness packages including control descriptions, evidence mapping, gap analysis, and remediation plans.

Maps your security controls to HIPAA requirements and collects evidence artifacts for audit preparation.

Generates PCI-DSS compliance artifacts including network diagrams, access control matrices, and encryption validation reports.

Assesses your security posture against NIST Cybersecurity Framework categories and generates alignment scores with improvement recommendations.

Learns from policy approval/rejection decisions to improve future policy recommendations and reduce rejection rates over time.

Searches for similar policies deployed by other organizations in your industry to benchmark your security posture.

Establishes behavioral baselines for your infrastructure and detects deviations that may indicate security incidents.

Test policies by describing scenarios in plain English. BLCK-BRT simulates the scenario and tells you if your policy handles it correctly.

Ingests penetration test reports and automatically generates remediation policies for each finding.

Approve or reject any staged action with one click. Every decision is logged with the approver, timestamp, and reason.

Before anything executes, see exactly what will change — side-by-side diff of current state vs. proposed state.

Schedule policy deployments for maintenance windows and receive a confirmation prompt before execution begins.

For critical threats, automatically execute containment actions and notify the team immediately after with full details.

Every policy deployment comes with a one-click rollback. If something breaks, restore the previous state instantly.

Complete immutable audit trail for every action — who did what, when, why, and what the outcome was.

Deploy BLCK-BRT as a white-label agent under your own brand for managed security service provider (MSSP) use cases.

Remembers each customer's compliance requirements, industry regulations, and risk tolerance for personalized recommendations.

Generates structured data feeds for executive dashboards showing security posture, compliance status, and risk trends.

Creates board-ready risk summaries with business impact framing, trend analysis, and strategic security investment recommendations.

Tracks the chain of custody for all compliance evidence — who created it, when, what system generated it, and who reviewed it.

Requires multiple independent approvals for high-risk actions, ensuring no single person can authorize critical security changes.

Run any policy in dry-run mode first to see what would happen without actually making changes to your environment.

Schedule recurring compliance reports — daily, weekly, monthly — delivered automatically to stakeholders.

Isolates a suspected compromised pod from the network while keeping it running for forensic analysis. Requires two approvals.

Full cluster or namespace network isolation in one click. Shows impact preview before execution.

Modify DNS policies with a preview of which services will lose name resolution before applying changes.

Preview how load balancer rule changes will shift traffic before applying, preventing accidental service disruption.

Deploy service mesh security policies with estimated latency impact so you can balance security with performance.

Roll out zero-trust network policies one namespace at a time, validating each stage before proceeding.

Enforces runtime security policies that restrict container syscalls, capabilities, and filesystem access at the kernel level.

Uses eBPF probes to detect kernel-level threats including rootkits, privilege escalation exploits, and syscall tampering.

Automatically injects security monitoring sidecars into pods based on namespace labels and workload classifications.

Manages node taints and tolerations to isolate sensitive workloads on dedicated infrastructure with security boundaries.

Controls which external destinations your workloads can communicate with, preventing unauthorized data exfiltration.

Prioritizes runtime vulnerability patches based on exploitability, exposure, and business criticality of affected workloads.

Enforces immutable containers — read-only filesystems, no shell access, no runtime modifications — preventing tampering.

Sets and enforces resource quotas per namespace to prevent resource abuse and noisy-neighbor attacks.

Configures and manages Pod Security Admission controllers to enforce baseline, restricted, or privileged security profiles.

Detects and blocks attempts to jailbreak or manipulate AI models through prompt engineering attacks. AI protecting AI.

Sanitizes user inputs to prevent prompt injection attacks that could cause AI models to execute unauthorized actions.

Validates AI model outputs for accuracy, safety, and policy compliance before they reach the user or execute actions.

Classifies data sensitivity before it's sent to AI models, blocking restricted data from reaching external model APIs.

Defines and enforces what systems, data, and APIs each AI tool is allowed to access within your organization.

Detects when AI models hallucinate security recommendations — fabricated CVEs, non-existent policies, or incorrect configurations.

Validates that AI agents only operate within their approved permission scopes and flags any attempted scope expansion.

Prevents sensitive organizational data from being included in AI model training datasets through automated classification and filtering.

Creates comprehensive audit trails for every AI decision — what data was used, what model processed it, and what output was generated.

Tracks AI model versions deployed in production and enables instant rollback if a model update causes security issues.

Scans code generated by AI assistants for security vulnerabilities, backdoors, and insecure patterns before it enters production.

Generates comprehensive AI governance policies covering usage rules, data handling, approval workflows, and incident procedures.

Validates that multiple AI models operating in your environment produce consistent, non-conflicting security recommendations.

Tracks AI usage across teams and projects, attributing costs and identifying potential abuse or waste.

Automatically redacts PII, credentials, and classified data from prompts before they're sent to AI models for processing.

Generates data classification policies with public, internal, confidential, and restricted levels with handling requirements for each.

Detects personally identifiable information in data flowing through AI workflows and masks it before processing.

Enforces data residency requirements ensuring sensitive data stays within required geographic boundaries.

Validates encryption is properly configured for all data at rest and in transit across your infrastructure.

Manages the full lifecycle of secrets — creation, rotation, distribution, and revocation — with policy-driven automation.

Generates DLP policies that detect and prevent unauthorized data transfers, email attachments, and cloud uploads.

Maps how data flows across trust boundaries — between namespaces, clusters, clouds, and external services.

Validates backup configurations meet RPO/RTO requirements and tests recovery procedures for completeness.

Enforces data retention policies automatically — archiving, deleting, or flagging data that exceeds retention periods.

Automates GDPR Article 17 right-to-erasure requests across all systems where personal data is stored.

Tracks who accessed what data, when, from where, and traces the lineage of data through your processing pipelines.

Scans container specs and deployment manifests for hardcoded credentials, API keys, and sensitive values in environment variables.

Tracks all TLS certificates across your infrastructure and alerts before expiration to prevent service outages.

Enforces key management policies including rotation schedules, algorithm requirements, and access controls for encryption keys.

Generates database-level access control policies with role-based permissions, query restrictions, and audit logging.

Generates incident-specific response playbooks with step-by-step procedures, escalation paths, and communication templates.

Automatically classifies incident severity based on impact, scope, and affected assets, routing to appropriate response teams.

Reconstructs incident timelines from logs and events, identifying the root cause and attack chain progression.

Generates comprehensive post-incident review documents with timeline, impact assessment, root cause, and improvement recommendations.

Creates stakeholder communication templates for active incidents — executive briefings, customer notifications, and regulatory reports.

Automates the collection and preservation of forensic evidence — memory dumps, log snapshots, network captures — with chain of custody.

Maps the full attack surface during an active incident, identifying all potentially compromised systems and data.

Detects lateral movement attempts across your cluster and generates containment policies to stop the spread.

Generates regulatory breach notification documents and tracks notification deadlines for GDPR, HIPAA, and state breach notification laws.

After incident recovery, validates system integrity by comparing current state against known-good baselines.

Automatically generates lessons-learned documents from incident data, identifying process improvements and control gaps.

Tracks incident metrics — MTTR, MTTD, frequency, severity distribution — and identifies trends over time.

Extracts indicators of compromise from incident data and feeds them back into detection rules and threat intelligence.

Coordinates incident response across security, engineering, legal, and communications teams with role-based task assignments.

Generates realistic tabletop exercise scenarios based on your infrastructure and current threat landscape for team training.

Verifies the provenance and integrity of container images, ensuring they come from trusted sources and haven't been tampered with.

Generates comprehensive SBOMs for your container images and applications listing all dependencies and their versions.

Continuously scans application dependencies for known vulnerabilities and alerts when new CVEs affect your stack.

Enforces approved base image policies — only blessed, scanned, and signed base images can be used in production builds.

Manages container registry access controls and enforces image signing requirements for all production deployments.

Generates security policies for CI/CD pipelines including build verification, artifact signing, and deployment gate requirements.

Assesses the risk of third-party libraries based on maintainer reputation, vulnerability history, and community health metrics.

Validates build artifacts haven't been modified between build and deployment using cryptographic signatures and checksums.

Automates vendor security questionnaire responses using your existing security documentation and control inventory.

Scans all open source dependencies for license compliance, flagging restrictive licenses that conflict with your usage.

Manages access controls for artifact repositories like JFrog, Nexus, and Quay with role-based permission policies.

Detects patterns associated with supply chain attacks — dependency confusion, typosquatting, compromised maintainer accounts.

Validates Helm charts for security best practices — no hardcoded secrets, proper RBAC, resource limits, and security contexts.

Assesses Kubernetes operators and custom resource definitions for security risks, excessive permissions, and privilege escalation paths.

Monitors GitOps pipelines for unauthorized changes, drift between git state and cluster state, and tampering attempts.

Generates comprehensive AI governance plans with risk assessments, employee usage rules, data classification policies, and approval workflows.

Generates executive-ready security reports with risk scores, trend analysis, and strategic recommendations for leadership.

Creates board-ready presentations with security posture metrics, investment recommendations, and competitive benchmarking.

Generates compliance readiness scorecards showing percentage completion across all applicable frameworks with gap analysis.

Calculates the return on investment for security initiatives based on breach prevention value, efficiency gains, and risk reduction.

Automates quarterly security review reports with metrics, accomplishments, incidents, and next-quarter priorities.

Benchmarks your security posture against industry peers using standardized metrics and maturity models.

Assesses your organization's security maturity level across people, process, and technology dimensions with improvement roadmaps.

Recommends optimal security budget allocation across tools, people, training, and infrastructure based on risk analysis.

Generates tailored communication briefs for different stakeholders — technical teams, executives, legal, and customers.

Assists in preparing regulatory filings with pre-formatted templates, evidence packages, and compliance attestations.

Generates evidence packages for cyber insurance underwriting demonstrating your security controls and risk management practices.

Generates vendor risk management reports assessing third-party security posture and contractual compliance obligations.

Generates multi-quarter security program roadmaps with milestones, resource requirements, and dependency mapping.

Generates a single-page action plan for leadership with the top priorities, quick wins, and critical decisions needed this quarter.