Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Securing Your AI Agents: Native AI Detection and Response Across the Full Agentic Path

Oct 6, 2026 By Salt Security In Salt Security
Enterprises are deploying AI agents at scale, and those agents are taking real business actions. Through LLMs, MCP servers, and APIs, they move money, access patient records, modify code, and send emails. The attack surface has fundamentally shifted, but most security programs are still focused on what an AI says rather than what it does.
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kovrr

AI Governance Where the Regulator Also Runs the Market

Oct 6, 2026 By Kovrr In Kovrr
AI governance evidence is usually prepared for a neutral reader. A regulator with no stake in the market, an auditor with no competing product, an examiner who gains nothing from what the documentation contains. ‍ In securities and derivatives markets that assumption does not hold. Exchanges and clearing organizations register as self-regulatory organizations, and most of them operate the market while regulating its participants. The reader of your evidence is also an operator. ‍
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CrowdStrike

Request, Aggregate, Bypass: How Attackers Can Evade LLM Safety Classifiers

Oct 6, 2026 By Donato Onofri - Paul Urian In CrowdStrike
Modern frontier AI models deploy safety classifiers. These are second AI models that sit between the user and the frontier model, evaluating every request in real time. If a request is flagged as harmful, the classifier blocks it before the model can respond. Significant investment and safety model expertise have made these classifiers effective. Anticipating how adversaries circumvent these systems is a security problem that requires different expertise.
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cyberhaven

Zero Trust for AI Agents: Enforcing Anthropic's Framework

Oct 6, 2026 By Cyberhaven In Cyberhaven
AI has changed how work gets done. Agents can plan tasks, query enterprise repositories, invoke tools, write code, call application programming interfaces (APIs), and take actions across connected systems. As they work, they create, copy, fragment, transform, and share data across workflows. A perimeter and a one-time authorization decision do not provide enough control for this operating model. An agent can chain permissions, tools, integrations, and data sources while completing a task.
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kovrr

AI Governance Evidence That Costs Nothing to Produce

Oct 6, 2026 By Kovrr In Kovrr
The usual case for governance return is that it speeds up enterprise sales, because buyers ask security questions and a prepared answer closes faster. It is true and it is the weaker argument. ‍ The stronger one is loss avoidance, and almost nobody makes it, because it needs a loss figure that most governance programs do not have. What makes it affordable is a distinction between two kinds of evidence. ‍
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kovrr

What an AI Correlation Rule Cannot See

Oct 6, 2026 By Kovrr In Kovrr
A correlation rule can be tuned. The window can be widened, the join key improved, a source promoted from optional to required. Each of those is a parameter with a defensible setting. ‍ What remains after all of it is the residual, meaning the events that would produce a finding if a source existed for them, which is a form of residual risk expressed in detection terms. Naming it is the question an auditor asks after being shown a detection, and the answer is not a tuning exercise. ‍
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netwrix

Govern the AI agent as the identity it is

Oct 6, 2026 By Dirk Schrader In Netwrix
AI agents are non-human identities. They hold credentials, carry permissions, and act on systems around the clock, usually with standing access nobody reviews. The Salesloft Drift breach reached more than 700 organizations through exactly that kind of over-scoped, non-expiring token, with no prompt injection involved. The controls already exist: inventory every agent, scope it to least privilege, expire its access, review it on a schedule, and detect when it's abused.
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Build the Self-Driving SOC with Tanium Security Operations

Oct 6, 2026 By Tanium In Tanium
Attackers don't wait for humans, and neither should your SOC. Tanium Security Operations brings detection, investigation, hunting, and response together on one platform that moves at machine speed. See how Tanium Atlas works as an extension of your team: pulling live telemetry, historical activity, and the full process tree the moment a threat surfaces, hunting a hypothesis across every endpoint in your fleet, and containing threats from one endpoint to hundreds of thousands. When the hunt needs to go deeper, HuntIQ's hands-on experts take it from there, inside your environment.
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