Security for Agentic AI

AI agents form a highly dynamic and complex system that must be securely integrated within the framework of traditional IT security.
We have the necessary tools and expertise to do so.

The Challenge: Shifting to AI Threats and Defenses

Authorities and organizations are facing a paradigm shift:
cyber threats are increasingly agentic.

Malicious AI agents can autonomously adapt their tactics, techniques, and procedures in real time, mutating Indicators of Compromise (IoCs) across diverse ICT environments.

Processing, analyzing, and contextualizing this influx of dynamic threats outpace manual human capabilities.

AI Cybersecurity overview

Agentic AI Context Graphs

asvin’s AI cyber management framework orchestrate AI agent security, ensuring that countermeasures can be automated, reducing the AI attack surface, and preventing algorithmic escalation beyond human oversight.

  • Contextual Guardrails for Autonomous Agents:
    By mapping the contextual relationships between Agentic AI and IT/OT assets, asvin’s Risk by Context™ constructs a deterministic boundary for AI behavior. AI agents can be controlled towards critical business dependencies.

  • Context Graphs vs, AI Black Boxes:
    Risk by Context™ applies context graphs and advanced AI methods directly to structured Agentic AI relationships. This provides deterministic insights for prevention, detection and response on threats by AI.

  • Intelligence for AI processes:
    AI Agents can digest, navigate and query the context provided by asvin to safely orchestrate and automate without exposing IT, OT and AI models to cyber threats. 

AI Cybersecurity

Modelling agentic AI processes to identify and mitigate security risks

AI Automated Threat Intelligence

AI automated processing and distribution of threat intelligence significantly improves the speed of response to new cyber threats by AI augmented attacks. Available information is tailored to the needs of stakeholders and visualised using asvin’s AI reporting. This increases understanding of the threat situation and reduces response time.

AI CTI Reporting

asvin’s AI processing enables

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Efficiency gains

By AI augmented threat intelligence and reporting, companies and government agencies can use their resources more efficiently. This leads to cost savings and better allocation of human and financial resources.

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Competitive advantage

AI augmented cyber security enables participating organisations to increase their competitiveness by responding more quickly and effectively to cyber threats.

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Risk mitigation

Reducing security incidents through proactive threat analysis helps to minimise financial loss and business disruption.

Cyber resilience for Agentic AI

Unlike traditional software, an autonomous agent can be manipulated leading to unpredictable, self-orchestrated actions across connected networks.

asvin’s cyber resilience approach ensures that when an AI agent is compromised, the underlying system can absorb the shock, dynamically contain the agent’s blast radius, and maintain core business continuity.

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Mirko Ross

Mirko Ross
CEO | Co-Founder

Gain further insight into AI Cybersecurity from asvin

  • Cybersecurity in Road Traffic: Where Research Meets Practice

    Est. Reading time: 1.3 min.

    Updated: March 2, 2026

  • Making Cyber Resilience and SBOM Tangible: An Overview of BSI Guideline TR-03183

    Est. Reading time: 1.3 min.

    Updated: April 2, 2026

  • FTAPI and asvin announce partnership

    asvin and FTAPI enter into strategic partnership for EU digital sovereignty

    Est. Reading time: 2.6 min.

    Updated: March 3, 2026

  • Cybersecurity regualtion timeline

    Successfully Implementing Cybersecurity Compliance

    Est. Reading time: 1.5 min.

    Updated: April 2, 2026

Have a first look at our risk management approach

Get a guided demo of Risk by Context™ to see how it can transform your risk management.