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Scooped by
JC Gaillard
onto Artificial Intelligence and Cybersecurity July 17, 1:13 AM
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If we view shadow AI only through a security lens, we risk treating the symptom rather than the cause.
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Enterprises are facing a critical cyber asymmetry issue as AI models’ offensive and defensive capability gaps grow.
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The goal here is not to block agentic AI but to build the foundation that makes it worth deploying.
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From
www
AI agents are flooding cybersecurity. The Agentic SOC Alliance wants to define which ones can be trusted before hype outruns security.
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Reports from Cisco Talos and CrowdStrike provide real-world insights into how AI is evolving attackers’ tradecraft and becoming part of their day-to-day operations.
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The enterprise AI nightmare is not a killer robot, but an erosion of our ability to see and control what’s running in our own environments at the same tim our velocity is exploding.
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Traditional IAM assumes humans with finite sessions, consistent behavior, and natural lifecycle events. AI agents run continuously, behave according to code rather than habit, and have no built-in triggers for credential review or rotation.
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We are about to hear one of the most dangerous phrases of the agentic AI era: The agent did it. It will become the successor to “the algorithm did it,” which itself was little more than a technological update to “mistakes were made.” All three expressions perform the same useful function. They describe an event without identifying the humans responsible for causing it.
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From
www
Organizations and people who embrace innovation without sacrificing security will own the future. Cyber hygiene is now more than just good practice in the era of artificial intelligence. It's called digital citizenship.
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If we view shadow AI only through a security lens, we risk treating the symptom rather than the cause.
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From
www
Knowing who an agent is and what it may access tells you nothing about whether what it just did was supposed to happen.
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As agentic AI and autonomous agents trend in 2026, enterprises face a major new hurdle: standard IAM stacks aren't built to govern these non-human actors.
Diamondstone's curator insight,
July 11, 3:48 PM
As organizations increasingly adopt autonomous AI agents, managing non-human identities has become a critical cybersecurity priority. The "Agentic AI Identity: A 6-Stage Maturity Model for Non-Human Identities" outlines a structured framework that helps organizations securely manage AI agents throughout their lifecycle. The model progresses from basic identification and authentication to advanced governance, continuous monitoring, automated policy enforcement, and adaptive trust. By following these six stages, organizations can reduce security risks, improve compliance, and ensure AI systems operate responsibly. The framework highlights that AI agents should be treated as trusted digital identities with clearly defined permissions, accountability, and ongoing oversight, making it an essential guide for organizations embracing AI-driven automation.read more.https://pressearn.it.com/blog/?s=Technology+
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AI-generated code risks are slowing deployment, as most companies write code with AI but hesitate to ship it to customers.
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Teams are dealing with a truly dangerous problem — automation that works, but that no one understands.
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AI-generated vulnerability patches fixed the bug cleanly about a quarter of the time across 6,080 attempts on six recent CVEs.
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AI can make SOC teams faster, but only if it fits existing workflows, connects their tools and earns analysts’ trust.
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From
www
A cluster of recent stories about rogue AI evading control may just be cases of running a task in a room with a bad lock.
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From
www
It's far easier to find security holes than to fix them, and leaving it to AI can introduce 9 times as many new vulnerabilities as developers do.
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From
www
Behind the rogue agent's attack on Hugging Face was a particular sequence of human decisions. We all need to pay better attention - because threat actors are learning, too.
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Anthropic’s Mythos AI model has helped discover two new cryptanalytic attacks, one against the NIST post-quantum digital signature candidate Hawk, and one against a weakened version of AES — but neither threatens deployed technology.
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From
www
SANS Institute notes that companies are reworking security teams and salaries are going up
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From
www
Shadow AI is often framed as a cybersecurity challenge, but that view misses what is really driving adoption.
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Having a spreadsheet of AI risks is fine, but it won't tell your team what to do or who can hit the kill switch when a model actually breaks.
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From
www
The flaw, which impacted Amazon, Anthropic, Google, Cursor and others, let the agent give the human false information on which to make decisions.
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From
www
Left ungoverned, an organization ends up with dozens of agents hitting production systems directly, and no single place to see the traffic or stop it.
Diamondstone's curator insight,
July 7, 2:27 AM
The future of cybersecurity will depend on innovation, collaboration, and continuous vigilance. In an increasingly connected world, staying secure online is not an option; it is a responsibility shared by all.read more...https://pressearn.it.com/blog/?s=Technology+
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As cybersecurity platforms embrace agentic AI, organizations must balance detection performance against the escalating costs of token consumption, deployment architecture, and AI credits.
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