Prompt Injection
Test direct and indirect injection, context isolation and instruction overrides.
Attacker goal → manipulate behaviorAI Security. AI Red Teaming. Cybersecurity Engineering. AI Governance. We attack your AI and enterprise systems like real adversaries—identifying vulnerabilities, validating real-world impact and delivering actionable remediation.
LLMs, AI agents, APIs, RAG pipelines, cloud infrastructure and automated workflows introduce new routes to sensitive data and unauthorized actions.
Test direct and indirect injection, context isolation and instruction overrides.
Attacker goal → manipulate behaviorFind exposure through prompts, RAG, logs, outputs and model interactions.
Attacker goal → extract sensitive dataChallenge model safety boundaries with adversarial framing, obfuscation and multilingual techniques.
Attacker goal → bypass guardrailsAssess agents, function calls, privilege boundaries, SSRF and resource exhaustion.
Attacker goal → trigger unauthorized actionDiscover → Exploit → Remediate → Validate → Monitor. Automated attack simulation is combined with expert security engineering.
Map applications, models, agents, APIs, data flows and integrations.
Simulate realistic adversarial scenarios against your environment.
Validate whether vulnerabilities create meaningful business impact.
Provide prioritized engineering fixes and architecture guidance.
Retest to confirm security weaknesses have been addressed.
Continuously test your evolving AI security posture.
Services designed for organizations deploying AI into customer journeys, data environments, APIs and critical business workflows.
Identify vulnerabilities across LLM applications, AI agents, APIs, data pipelines and AI infrastructure.
Simulate realistic attacks to determine how an adversary could compromise systems, data or business processes.
Go beyond traditional vulnerability scanning across AI applications, APIs, cloud infrastructure and enterprise systems.
Turn findings into implementable security improvements across architecture, controls, monitoring and remediation.
Build security and governance into the AI lifecycle while aligning technical controls with regulatory and organizational requirements.
AI-driven Security Automation & Orchestration that turns security signals into prioritized incidents, enriched intelligence, automated playbooks, compliance actions and human-approved response.
Correlated 7 signals across identity, API, AI-agent and cloud telemetry. Recommended action: isolate affected service, revoke exposed token and open an engineering remediation task.
Bring alerts, logs, cloud events, AI telemetry and threat intelligence into one operational layer.
Correlate signals, classify incidents, enrich context and prioritize risk for human review.
Execute repeatable security workflows with approvals for high-impact actions.
Capture evidence, enforce controls and feed outcomes into continuous security validation.
Book a focused demo of the command center, AI analyst, playbooks, threat intelligence and compliance automation.
Continuously challenge AI applications and enterprise environments with automated adversarial security testing.
AI-driven Security Automation & Orchestration. Turn security signals into coordinated investigation, response and remediation workflows across your environment.
Focus on environments where sensitive data, regulated workflows and automated actions make AI security business-critical.
Customer data, payments, AI applications, APIs and automated decisions.
AI applications handling sensitive information and critical workflows.
LLM applications, agents, APIs, cloud platforms and developer environments.
AI deployments across business units, applications, infrastructure and data.
Defensible AI security and governance aligned with applicable requirements.
Specialized security for AI attack surfaces—not traditional cybersecurity with an AI label.
We test whether a vulnerability can actually be exploited, not just whether a scanner can flag it.
Actionable technical and architectural recommendations your engineering teams can implement.
Connect technical findings with regulatory, privacy and governance requirements.
Get a preliminary risk profile covering AI application security, prompt injection exposure, data protection, agent security, API security, AI governance and security monitoring.
Explore focused resources for AI security, red teaming, penetration testing, governance and SaoR™ security automation.
Assess LLMs, agents, RAG, APIs and AI attack surfaces.
Simulate adversarial attacks and validate real-world impact.
Test applications, APIs, cloud and enterprise controls.
Align AI security and governance with NDPA, GDPR and ISO standards.
Automate triage, orchestration, response and compliance workflows.
Tell us where you want to automate security operations. We’ll tailor the walkthrough around your environment.
Choose a time directly on Calendly. Your booking will be handled by CalibreAI's scheduling page.
Tell us a little about your environment and assessment needs. Your request will open a pre-filled email to office@calibreai.africa.