Services
Deployment of unsupervised machine learning and predictive AI to detect novel, zero-day threats before execution, marking a shift from reactive defense to proactive protection. Sub-services include predictive threat hunting AI, unsupervised machine learning for network anomaly detection, AI-native preemptive endpoint protection, and automated cyber threat intelligence platforms.
Engineering of AI-driven platforms that synthesize global threat feeds, dark web intelligence, and internal telemetry to forecast and prioritize emerging cyber threats before they impact your network.
Implementation of self-learning AI models like autoencoders and isolation forests to identify novel attack patterns and zero-day exploits in network traffic, user behavior, and endpoint data without relying on known signatures.
Strategic design and integration of predictive AI agents directly into endpoint security stacks, enabling pre-execution malware blocking and behavioral threat prevention that outpaces traditional antivirus.
Deployment of specialized machine learning models that analyze exploit kit patterns, vulnerability disclosures, and attacker TTPs to generate actionable intelligence on imminent zero-day attacks with quantified confidence scores.
Building of AI agents that continuously probe enterprise environments using hypothesis-driven analytics to uncover advanced persistent threats (APTs) and latent compromises that evade automated alerts.
Architecture of scalable data pipelines and correlation engines that unify structured (STIX/TAXII) and unstructured threat intelligence into a single operational picture for security analysts.
Application of machine learning to asset inventories and exploit data to predict which vulnerabilities are most likely to be weaponized, enabling prioritized patching that reduces critical exposure by 70%.
Modernization of legacy SIEMs with real-time machine learning layers that reduce false positives by 80% and correlate low-fidelity events into high-confidence incident alerts.
Proactive service combining threat intelligence modeling with human expertise to guide investigative teams towards likely adversary footholds and data exfiltration paths before breaches occur.
Development of AI systems that profile adversary campaigns, predict target selection, and simulate attacker decision-making to strengthen defensive strategies and cyber deception tactics.
How We Work
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
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We understand the task, the users, and where AI can actually help.
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We define what needs search, automation, or product integration.
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We implement the part that proves the value first.
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We add the checks and visibility needed to keep it useful.
Read moreThe first call is a practical review of your use case and the right next step.
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