Threat detection across cloud, SaaS and identity behavioural and signature-based machine learning correlates signals across every source, surfacing lateral movement and privilege escalation
Risk365 is MFD's AI cybersecurity platform that combines advanced threat detection with autonomous response to identify, investigate and remediate threats in real time. Built for the AI era, it secures AI workloads, LLMs and agentic systems while helping enterprises stay compliant.
Risk365 is an AI cybersecurity platform that unifies detection, response and AI security in one platform reducing tool sprawl, alert fatigue and manual investigation.
Threat detection across cloud, SaaS and identity behavioural and signature-based machine learning correlates signals across every source, surfacing lateral movement and privilege escalation
Autonomous remediation agents isolate affected assets, revoke access, trigger notifications and produce a fully documented incident record without analyst involvement
Cloud and SaaS posture management unified CSPM across AWS, Azure and GCP, KSPM and SaaS posture from one console, mapped to SOC 2, ISO 27001, NIS2, NYDFS, HIPAA and PCI
AI and LLM workload security real-time evaluation of prompt inputs and model outputs for injection attempts, data leakage and policy violations, with every model call logged
Compliance reporting continuous, audit-ready evidence across SOC 2, ISO 27001, NIS2, NYDFS, HIPAA and PCI, with every control mapped and every exception documented
Risk365 is a composable AI cybersecurity platform that connects through native, agentless connectors AWS, Microsoft Azure and Google Cloud Platform; Okta, Azure Active Directory and Ping Identity; CrowdStrike Falcon and SentinelOne; Microsoft 365, Google Workspace, Slack and Salesforce; GitHub and GitLab; and OpenAI, Anthropic and Amazon Bedrock for AI infrastructure correlating signals across every source in a unified detection graph.
Risk365's AI cybersecurity platform is deployed across security operations, cloud engineering, compliance and AI development teams.
Autonomous remediation agents handle the routine incident queue around the clock isolating threats, revoking credentials and documenting actions while the platform continuously learns from every event.
Continuous monitoring across AWS, Azure and GCP detects misconfigurations, exposed storage, overpermissioned identities and policy drift in real time, mapped to remediation actions and compliance controls.
Real-time evaluation of prompt inputs and model outputs, detection of adversarial injection attempts, monitoring for data exfiltration and continuous red-team evaluation pipelines for AI applications.
Behavioural machine learning applied to identity telemetry from Okta, Azure AD, Ping and native cloud IAM detects anomalous access patterns and lateral movement before they reach critical assets.
