LIVE · cybersecurity feed
Live wire
ai

NCSC Urges Stronger Controls for Agentic AI Systems

The UK National Cyber Security Centre (NCSC) has issued interim guidance urging organizations to implement stronger controls for autonomous AI agents. The advice, published on August 20, recommends sandboxing, human oversight, and tightly controlled access to mitigate risks from unintended or malicious agent activity. This follows previous NCSC guidance on securing agentic AI use and comes…

ZeroDay News ·

Source: Infosecurity Magazine

The UK National Cyber Security Centre (NCSC) has issued interim guidance urging organizations to implement stronger controls for autonomous AI agents. The advice, published on August 20, recommends sandboxing, human oversight, and tightly controlled access to mitigate risks from unintended or malicious agent activity. This follows previous NCSC guidance on securing agentic AI use and comes amidst ongoing development of governance frameworks for increasingly autonomous systems. The NCSC noted that formal guidance is still under development and will eventually supersede the current blog post.

Organizations are advised to first assess the necessary level of autonomy for a system and identify potential failure points before deployment. The NCSC recommends threat-modeling the agent's prompts, tools, networks, and accessible services to determine required controls. It explicitly warns against relying solely on safeguards built into underlying models or agent frameworks, as these can be bypassed or prove insufficient in high-risk scenarios.

For higher-risk deployments, the NCSC suggests running agents in robust sandboxes and restricting their access to only the resources essential for a given task. Network controls should deny connectivity by default, utilizing allowlists or service-aware proxies for necessary connections. The agency also recommends separating agent execution, supporting infrastructure, and inference services where feasible. A key concern highlighted is the potential for agents to discover configuration weaknesses or vulnerabilities in their technical controls, which could lead to sandbox escapes.

Each agent should be assigned a distinct identity with credentials limited to those required for its task, ideally using short-lived credentials. Organizations should consider API keys, OAuth grants, SSH keys, and authenticated sessions as part of an agent's potential "blast radius."

Human oversight is crucial for higher-risk activities, with clear responsibility for agent operations, real-time monitoring, and the ability to intervene in unexpected behavior. Agent activity should be logged and monitored as part of security operations and incident response. The NCSC also emphasizes the importance of being able to immediately halt autonomous activity, including restricting network access and communications with model infrastructure when necessary.

The agency stressed that this advice should evolve with the technology, and organizations should regularly reassess whether the autonomy granted to agents remains proportionate to their risk tolerance. The guidance comes as the cybersecurity community continues to grapple with the implications of advanced AI systems, with other initiatives like the OWASP Agentic AI Security Maturity Framework also emerging to address these challenges.

ai
ShareXLinkedInWhatsAppFacebook

More News

view all →
breach

Criminal IP Introduces AITEM as the Next Evolution of Attack Surface Management

AI SPERA, the company behind the cyber threat intelligence platform Criminal IP, has announced AITEM (AI-Powered Threat Exposure Management), an expansion of its Attack Surface Management (ASM) offerings. AITEM aims to move beyond traditional asset discovery to provide a more comprehensive approach to understanding, prioritizing, and responding to security exposures. The platform is scheduled…

ai

AI Is Getting Really Good at Messing With Cybercriminals

Anti-cybercrime initiatives are increasingly deploying artificial intelligence to disrupt scammers by engaging them with lifelike bots, which the criminals mistake for genuine victims. This strategy aims to waste scammers' time and resources while gathering intelligence on their operations.

ai

The Third-Party Agent Problem: Why Security Built for AI You Chose Misses the Agents You Didn't

A new report highlights a significant blind spot in enterprise security architectures concerning the proliferation of third-party AI agents. The forthcoming 2026 State of Agent Security Report indicates that current security models, often designed to protect AI systems directly chosen and deployed by an organization, frequently fail to account for AI capabilities embedded within third-party…

security

Canadian cybersecurity executive arrested in federal extortion case

A Canadian cybersecurity executive was arrested in Pennsylvania on Thursday, facing federal charges of conspiracy to commit extortion. Edward Dubrovsky, 54, a co-founder and former Chief Operating Officer of CYPFER, a firm specializing in ransomware negotiation, is charged with conspiring to threaten the confidentiality of information for extortion and conspiring to commit Hobbs Act extortion,…

ransomware

FBI Arrests Ransomware Negotiation Firm Co-Founder in ShinyHunters Probe

The Federal Bureau of Investigation (FBI) has reportedly arrested Edward Dubrovsky, a co-founder of the ransomware negotiation firm Cypfer and currently associated with CyberSteward. The arrest is said to be part of the ongoing ShinyHunters investigation, specifically in connection with an incident involving FBI job applicant data.

security

Insider Cyber Extortion Plot Against Industrial Firm Lands Engineer in Prison

A former core infrastructure engineer has been sentenced to prison for an attempted cyber extortion plot against an industrial firm. The engineer reportedly deleted administrative accounts and reset hundreds of user passwords, subsequently demanding a ransom of 20 Bitcoin to prevent further disruption to the company's servers.