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ASOS Hackers Hijack App Notifications, Claim Snowflake Data BreachKarina Portugal Makes the Case for Know Your AgentAlert: FortiBleed remains active campaign, can lock out users or lead to ransomware attacksCVE-2026-93836 · Ninja Forms plugin flaw exploited to hack WordPress sitesCVE-2026-86360 · Dell Urges Customers to Patch Critical DSU Flaw That Can Give Attackers Root AccessCVE-2026-21589 · Critical Atlassian Flaw Lets Unauthenticated Attackers Read Known Files Across 8 ProductsCVE-2026-88779 · Citrix NetScaler Hit by Third Actively Exploited Zero-DayClingSTUN Malware Turns IoT Devices Into Proxy NodesCVE-2026-61500 · Rejetto HFS servers now actively scanned for critical RCE flawCVE-2026-88779 · Citrix NetScaler Flaw Exploited Before CVE Publication
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Karina Portugal Makes the Case for Know Your Agent

Karina Portugal, a Director at Prove Identity, has reportedly advocated for a new security paradigm termed "Know Your Agent" (KYA). This concept addresses the emerging challenges in verifying autonomous software agents, which traditional "Know Your Customer" (KYC) methodologies are not equipped to handle. The core argument is that existing KYC frameworks primarily focus on human user identity,…

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Source: HackRead

Karina Portugal, a Director at Prove Identity, has reportedly advocated for a new security paradigm termed "Know Your Agent" (KYA). This concept addresses the emerging challenges in verifying autonomous software agents, which traditional "Know Your Customer" (KYC) methodologies are not equipped to handle. The core argument is that existing KYC frameworks primarily focus on human user identity, rendering them insufficient for the unique operational characteristics and potential risks posed by autonomous agents.

The proposed KYA framework aims to establish a continuous authentication process for software agents throughout their operational lifecycle. Unlike the one-time or periodic identity verification common in KYC, KYA would involve ongoing scrutiny of an agent's behavior, actions, and authorizations. This continuous monitoring is intended to detect deviations from expected patterns, unauthorized activities, or potential compromises that could lead to fraud or misuse.

The technical mechanism behind KYA would likely involve a combination of behavioral analytics, cryptographic attestation, and policy-based access controls. Behavioral analytics could profile an agent's typical interactions, data access patterns, and command executions, flagging anomalies that suggest compromise or malicious intent. Cryptographic attestation could verify the integrity and authenticity of the agent's code and execution environment at various stages. Policy engines would enforce predefined rules governing what an agent is permitted to do, where, and with what resources.

This paradigm shift is particularly relevant given the increasing deployment of AI-driven agents, robotic process automation (RPA), and other forms of autonomous software across various industries. These agents often operate with significant privileges and access to sensitive data or critical systems, making their compromise a high-impact security event. The scope of KYA's applicability extends to any environment where non-human entities perform actions that require trust and verification, from financial transactions to critical infrastructure operations.

Typical mitigation guidance for issues related to unverified or compromised agents often includes robust access controls, network segmentation, and endpoint detection and response (EDR) solutions. However, KYA suggests a more proactive and integrated approach to agent identity and behavior. It implies a need for development practices that embed verifiable identities into agents from their inception and operational frameworks that continuously validate those identities and their associated behaviors.

The "Know Your Agent" concept highlights a growing awareness within the cybersecurity community regarding the unique security challenges presented by autonomous systems. As software agents become more sophisticated and pervasive, the industry faces a fundamental shift from human-centric identity verification to machine-centric trust and authentication. This evolution mirrors past transitions in security paradigms, where new technological advancements necessitated entirely new approaches to risk management and control.

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