Security risks introduced by enterprise agentic AI deployments

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Contexte et analyse

Ce que disent les sources

• "Agentic AI expands enterprise attack surfaces through broad permissions and unreviewed deployments, increasing lateral-movement and other security risks."

  thehackernews.com

• "The AEGIS framework helps security leaders govern agentic AI with enterprise guardrails across IAM, data, applications, threat operations, and Zero Trust."

  forrester.com

• "Companies are embracing agentic AI to strengthen cyber defence, but autonomous systems may also introduce new vulnerabilities."

  dig.watch

• "Dubai, United Arab Emirates – Cisco NASDAQ:CSCO announced significant security innovations designed for the agentic AI ecosystem, where software no longer..."

  tradingview.com

• "New offering delivers AI-powered defense across the enterprise and supports the practice of provable trust for AI systems TEANECK, N.J., May 7,..."

  sahmcapital.com

• "Agentic AI governance frameworks in 2026: key risks, standards, and the shift from policy to architecture-level control systems for safe scaling."

  hackernoon.com

• "In the race to outpace automated threats, AI is no longer optional, it is the primary defense. However, deploying AI within the Security Operations Center..."

  databricks.com

• "IBM Corp. subsidiary Red Hat today is unveiling a broad set of product and partnership announcements aimed at helping enterprises put artificial..."

  siliconangle.com

• "Crogl, the secure AI for enterprise security, announced the launch of the first enterprise-grade agentic system for enterprise security operations for free."

  thefastmode.com

• "The cybersecurity firm released a new protocol for AI agent identity, a real-time zero-day tracker, and secured a key partnership with Anthropic."

  briefglance.com

• "Nine in ten autonomous artificial intelligence agents deployed in production environments are vulnerable to a class of attack that standard safety testing..."

  bankinfosecurity.com

• "Discover the 8 best AI security tools for protecting ML workloads in 2026. Compare features, use cases, and how to secure AI across the full lifecycle."

  wiz.io

• "AI interoperability in healthcare expands the cyberattack surface. Learn how AI in healthcare systems can create cascading risks and what to consider now."

  forvismazars.us

• "Agentic artificial intelligence is transforming the enterprise world — and creating dangerous security gaps at every turn. The rise of the AI factory,..."

  siliconangle.com

• "The cybersecurity industry has spent years focusing on visibility. Dashboards expanded. Detection tooling improved. Telemetry volumes exploded."

  securityboulevard.com

• "AI systems are introducing new layers of risk across the enterprise. From data ingestion to model development and autonomous execution, each stage of the AI..."

  govinfosecurity.com

• "Governance lag: AI tools are widely deployed, but most organizations lack policies, oversight, and integration to ensure safe and effective use."

  msn.com

• ""We live in a world that could become fraught with day-to-day hazards from the misuse of AI and we need to take ownership of the problems -- because the..."

  techtarget.com

• "Frontier AI models can lower the skill barrier for attackers and compress the time between exposure and exploitation faster than defenders can patch."

  cio.com

• "New capabilities combine deep threat research, rich browser telemetry, and AI agents to deliver the most powerful detection capabilities in the industry."

  businesswire.com

• "The rapid rise of AI agents is forcing enterprises to confront a problem that traditional cybersecurity infrastructure was never designed to handle: how do..."

  technology.org

• "AI agents are spreading through enterprise environments without IT approval. Here's how security teams build an agent inventory and apply the right..."

  securityboulevard.com