Redefining security intelligence, transforming it from reactive threat detection to offensive simulation in generation of contextual real time state of security as decentralized neural blocks on information.
A revolutionary approach to cyber security that leverages the power of AI to create a truly intelligent and proactive ecosystem.
Data lakes are outdated. Centralized SOCs are slowing down.
O Intelligence is built from the ground up — core AI that lives at decentralized nodes, constantly simulating, correlating, and predicting security events across the stack.
Building live, adaptive security context in real time.
Navigate security from multiple vantage points:
Control POV: See how discovered threats align with technical control objectives.
SDLC POV: Understand threats in the context of development and delivery pipelines.
Monitoring POV: Measure threats against defense readiness and live monitoring.
Context switching across environments, timelines, and perspectives without loss of fidelity.
Instead of acting after alerts arrive, our platform lives in the present, scans the past, and simulates the future — correlating intelligence across every plane so action is already in motion when threats surface.
Built on advanced AI and behavioural analytics, Cred-O's Threat Intelligence system delivers real-time insights into potential threats across your network. It enables faster detection, contextual threat scoring, and automated response, ensuring resilient and scalable cyber defense.
Many cybersecurity solutions claim to use AI, but often lack true intelligence and rarely on rule-based systems. They lack organizational context and are outside in their approach. Gen AI is used as a buzzword and works top leading to inaccurate if nor incorrect results.
CredO's solutions are built on a foundation of deep learning and machine learning, enabling them to build organizational context by offensive simulations which are neural blocks in their learning.
Threat intelligence isn't valuable in isolation. In our platform, it's quantified, contextualized, and embedded across every discipline — from design to compliance to live defense. Intelligent algorithms turn raw threat paths into actionable, evolving security context.
Threat path discovery mapped directly to user stories, ensuring every requirement carries its own security context.
TPD discovery algorithms track how threats are identified for a given build — and adapt for subsequent builds as designs improve.
Intelligent evaluation of control design, mapped to incremental development cycles, ensuring that controls are both present and effective at every stage.
CI/CD stage gates mapped to contextual threat-impact benchmarks, so every release is security-certified before it ships.
Intelligent algorithms evaluate control design and execution to deliver live compliance percentages — benchmarked and in real time.
Contextual risk scored per control class and as enterprise-wide exposure, dynamically updated as threats evolve.
Instantly assess multi-mandate compliance (GDPR, ISO 27001, PCI, IEC 62443) without duplication of effort — one intelligent engine, many outcomes.
Inside-out view of enterprise resilience, continuously scored against evolving threat conditions.
Inside-out mapping correlated with outside-in threat intelligence for a full-spectrum breach posture.
Continuous offensive simulation at enterprise scale — red team readiness, live and adaptive.
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Sparsh
Dunasys
Yulu Bikes
Sparsh
Dunasys