Agentic AI

2026-06-094 minAkamaimedium

The transition to Post-Quantum Cryptography (PQC) introduces significantly larger cryptographic signatures, such as ML-DSA, which will force DNS responses to exceed standard UDP packet limits. This architectural shift will cause frequent fallbacks to TCP, introducing latency spikes and silent timeouts that pose a severe operational risk to automated, high-volume systems like agentic AI workflows. Furthermore, adversaries are already conducting 'Harvest now, decrypt later' attacks, underscoring the immediate need for organizations to map and secure their DNS and DNSSEC configurations across distributed cloud environments.

2026-05-233 minZscaler ThreatLabzinfo

The article discusses the rapid enterprise adoption of agentic AI and emphasizes the need for deliberate innovation and governance. It highlights ACSC guidelines advocating for the integration of AI services into a Modern Defensible Architecture using principles like least privilege, segmentation, comprehensive logging, and human-in-the-loop oversight to mitigate the risks of autonomous compromise.

2026-05-137 minTrend Microhigh

Trend Micro identified two distinct threat campaigns, SHADOW-AETHER-040 and SHADOW-AETHER-064, leveraging agentic AI to orchestrate attacks against Latin American government and financial institutions. The attackers utilized AI models like Anthropic's Claude to dynamically generate scripts, analyze configurations, and establish SOCKS5 tunnels for lateral movement, demonstrating a shift towards AI-assisted, signature-evasive intrusion operations.

2026-05-134 minRecorded Futurehigh

The rapid adoption of agentic AI in enterprise environments introduces significant security risks by amplifying existing software supply chain and identity management vulnerabilities. Threat actors can leverage prompt engineering, input manipulation, and malicious packages to weaponize AI agents, necessitating zero-trust principles, robust IAM for non-human identities, and human-in-the-loop safeguards.

2026-05-133 minTrend Microinfo

TrendAI presented research at RSAC 2026 highlighting the dual emergence of autonomous, agentic AI-driven cybercrime and systemic vulnerabilities in cyber-physical systems like EV charging infrastructure. The findings emphasize the necessity for organizations to adopt machine-speed, AI-driven defenses and comprehensive frameworks like NIST IR 8473 to mitigate these rapidly evolving threats.

2026-05-134 minTrend Microinfo

The article outlines the emerging security risks associated with autonomous Agentic AI and presents a collaborative architectural solution between TrendAI and NVIDIA. By integrating TrendAI's governance and behavioral analysis with NVIDIA's OpenShell runtime, enterprises can safely deploy self-evolving AI agents with runtime policy enforcement and protection against AI-native threats like prompt injection.