Our Platform
Capabilities
A continuous security architecture for deployed AI systems.
Security infrastructure for agents, workflows, and autonomous systems
Our Platform
A continuous security architecture for deployed AI systems.
Security infrastructure for agents, workflows, and autonomous systems
Our Platform
Capabilities
A continuous security architecture for deployed AI systems.
Security infrastructure for agents, workflows, and autonomous systems
Built to test, monitor, protect, and validate live AI systems
Built to test, monitor, protect, and validate live AI systems
EmBr secures live AI systems through agentic adversarial testing, runtime monitoring, active protection, and continuous assurance. Built for enterprise and government environments, our platform protects agents, workflows, tools, and autonomous systems in operation.
EmBr secures live AI systems through agentic adversarial testing, runtime monitoring, active protection, and continuous assurance. Built for enterprise and government environments, our platform protects agents, workflows, tools, and autonomous systems in operation.
Test, monitor, protect, and assure.
Adversarial Testing
Multi-agent adversarial simulations built to stress-test live AI systems before weaknesses become incidents.
EmBr uses coordinated multi-agent red teaming simulations to pressure-test how live AI systems respond to prompt injection, tool misuse, workflow manipulation, and other emerging attack paths. This capability helps teams identify vulnerabilities across agents, connected tools, and decision flows before they lead to runtime failures or critical security incidents.
01
discovery
Adversarial Testing
Multi-agent adversarial simulations built to stress-test live AI systems before weaknesses become incidents.
EmBr uses coordinated multi-agent red teaming simulations to pressure-test how live AI systems respond to prompt injection, tool misuse, workflow manipulation, and other emerging attack paths. This capability helps teams identify vulnerabilities across agents, connected tools, and decision flows before they lead to runtime failures or critical security incidents.
01
discovery
Adversarial Testing
Multi-agent adversarial simulations built to stress-test live AI systems before weaknesses become incidents.
EmBr uses coordinated multi-agent red teaming simulations to pressure-test how live AI systems respond to prompt injection, tool misuse, workflow manipulation, and other emerging attack paths. This capability helps teams identify vulnerabilities across agents, connected tools, and decision flows before they lead to runtime failures or critical security incidents.
01
discovery
Runtime Monitoring
Continuous runtime monitoring built to detect anomalies, drift, and escalation signals across live AI systems.
EmBr monitors prompts, inputs, outputs, tool use, memory access, and system behavior to identify abnormal activity as it unfolds. This capability gives teams visibility into how agents and AI workflows behave in production, helping detect drift, misuse, and early indicators of security or operational failure before they escalate.
02
visibility
Runtime Monitoring
Continuous runtime monitoring built to detect anomalies, drift, and escalation signals across live AI systems.
EmBr monitors prompts, inputs, outputs, tool use, memory access, and system behavior to identify abnormal activity as it unfolds. This capability gives teams visibility into how agents and AI workflows behave in production, helping detect drift, misuse, and early indicators of security or operational failure before they escalate.
02
visibility
Runtime Monitoring
Continuous runtime monitoring built to detect anomalies, drift, and escalation signals across live AI systems.
EmBr monitors prompts, inputs, outputs, tool use, memory access, and system behavior to identify abnormal activity as it unfolds. This capability gives teams visibility into how agents and AI workflows behave in production, helping detect drift, misuse, and early indicators of security or operational failure before they escalate.
02
visibility
Runtime Protection
AI runtime security and firewall controls built to inspect inputs, govern outputs, restrict unsafe actions, and interrupt high-risk behavior before it escalates.
EmBr provides an AI runtime security layer that acts as an active firewall for live AI systems in production. It inspects inputs, governs outputs, restricts unsafe actions, and enforces policy in real time across agents, tools, and autonomous workflows. This capability helps teams contain risky behavior as it emerges through escalation controls, emergency interruption, and other fail-safe measures when systems exceed defined risk thresholds.
03
control
Runtime Protection
AI runtime security and firewall controls built to inspect inputs, govern outputs, restrict unsafe actions, and interrupt high-risk behavior before it escalates.
EmBr provides an AI runtime security layer that acts as an active firewall for live AI systems in production. It inspects inputs, governs outputs, restricts unsafe actions, and enforces policy in real time across agents, tools, and autonomous workflows. This capability helps teams contain risky behavior as it emerges through escalation controls, emergency interruption, and other fail-safe measures when systems exceed defined risk thresholds.
03
control
Runtime Protection
AI runtime security and firewall controls built to inspect inputs, govern outputs, restrict unsafe actions, and interrupt high-risk behavior before it escalates.
EmBr provides an AI runtime security layer that acts as an active firewall for live AI systems in production. It inspects inputs, governs outputs, restricts unsafe actions, and enforces policy in real time across agents, tools, and autonomous workflows. This capability helps teams contain risky behavior as it emerges through escalation controls, emergency interruption, and other fail-safe measures when systems exceed defined risk thresholds.
03
control
Continuous Assurance
Continuous validation and risk-based assurance built to maintain trust in live AI systems after deployment.
EmBr provides continuous assurance for live AI systems through ongoing validation, risk scoring, and post-deployment security review. This capability helps teams measure how agents, workflows, and autonomous systems are performing over time, maintain confidence in system behavior, and generate the assurance evidence needed for enterprise oversight, mission readiness, and informed risk decisions.
04
trust
Continuous Assurance
Continuous validation and risk-based assurance built to maintain trust in live AI systems after deployment.
EmBr provides continuous assurance for live AI systems through ongoing validation, risk scoring, and post-deployment security review. This capability helps teams measure how agents, workflows, and autonomous systems are performing over time, maintain confidence in system behavior, and generate the assurance evidence needed for enterprise oversight, mission readiness, and informed risk decisions.
04
trust
Continuous Assurance
Continuous validation and risk-based assurance built to maintain trust in live AI systems after deployment.
EmBr provides continuous assurance for live AI systems through ongoing validation, risk scoring, and post-deployment security review. This capability helps teams measure how agents, workflows, and autonomous systems are performing over time, maintain confidence in system behavior, and generate the assurance evidence needed for enterprise oversight, mission readiness, and informed risk decisions.
04
trust