Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

gitguardian

Agentic AI and NonHuman Identities Demand a Paradigm Shift In Security: Lessons from NHIcon 2026

Jan 30, 2026 By Dwayne McDaniel In GitGuardian
In the race to innovate, software has repeatedly reinvented how we define identity, trust, and access. In the 1990's, the web made every server a perimeter. In the 2010's, the cloud made every identity a workload. Here in 2026, agentic AI makes every action autonomous.
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1Password

Security advisory for AI-assisted browsing interactions with the 1Password browser extension

Jan 30, 2026 By Andrew Hall and Drew Sen In 1Password
This advisory describes an ecosystem-level risk that emerges when AI agents are able to autonomously read and act on untrusted content while operating with user-level permissions in a web browser.
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CrowdStrike

How Agentic Tool Chain Attacks Threaten AI Agent Security

Jan 30, 2026 By Vanessa Villa In CrowdStrike
AI agents are rapidly transforming enterprise operations. Unlike traditional software that follows fixed code paths, AI agents interpret prompts, form plans, select tools, and react to results in a continuous loop. At the heart of this capability is the agent's ability to actively select and execute capabilities based on natural language descriptions, schemas, and examples.
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When Your AI Can't Be Trusted Anymore | IdentityShield '26

Jan 30, 2026 By miniOrange In miniOrange
What if your ML system is running perfectly—but making the wrong decisions? This talk explores Ransomware 3.0, where attackers poison models and pipelines instead of locking systems, and shows how AI‑augmented attacks bypass traditional security and how to defend against silent ML compromise. Speaker: Avinish Thakur Software Engineer, miniOrange Pune, India.
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Featured Post
AI for Security Infrastructure: Rebalancing Cybersecurity for the Decade Ahead

AI for Security Infrastructure: Rebalancing Cybersecurity for the Decade Ahead

Jan 29, 2026 By Garrett Hamilton, CEO and Co-Founder In Reach Security
For more than a decade, cybersecurity has been shaped by a single doctrine: assume breach. Facing high-volume, relentless, and diverse attacks, the security industry has been forced into a reactive stance, playing a constant game of whack-a-mole in a nonstop damage-limitation exercise. This has driven major investment in detection, response, and recovery, and created a world in which organizations are better at reacting to incidents than at preventing them in the first place.
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wallarm

Why API Security Is No Longer an AppSec Problem - And What Security Leaders Must Do Instead

Jan 29, 2026 By Wallarm In Wallarm
APIs are one of the most important technologies in digital business ecosystems. And yet, the responsibility for their security often falls to AppSec teams – and that’s a problem. This organizational mismatch creates systemic risk: business teams assume APIs are “secured,” while attackers exploit logic flaws, authorization gaps, and automated attacks in production. As Tim Erlin noted recently, “These are not exploits of a specific vulnerability, but abuse of an API.”
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LimaCharlie

Threat hunting to detection engineering: Analyzing real malware with Claude Code, LimaCharlie, and Linux

Jan 29, 2026 By LimaCharlie In LimaCharlie
Claude Code, originally just auto-complete on steroids for IDEs, shows a lot of promise for becoming a major tool in the DFIR/detection engineering/security analyst’s toolbox. Whether it’s Claude Code’s support of MCP, agent skills, or general ability to quickly figure out how to accomplish a given task, it is rapidly becoming more than a code generation tool. This is the first of a three-part series.
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gitguardian

OpenClaw (Moltbot) Personal Assistant Goes Viral - And So Do Your Secrets

Jan 29, 2026 By Guillaume Valadon In GitGuardian
Early 2026, Moltbot a new AI personal assistant went viral. GitGuardian detected 200+ leaked secrets related to it, including from healthcare and fintech companies. Our contribution to Moltbot: a skill that turns secret scanning into a conversational prompt, letting users ask "is this safe?".
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Introducing Forward AI

Jan 29, 2026 By Forward Networks In Forward Networks
The Network is Complex. Operating It Shouldn't Be. Forward AI transforms network operations by reducing manual analysis, expert dependency, and guesswork. By combining conversational interaction with a mathematically accurate digital twin, teams can validate intent, understand actual network behavior, and act with confidence across even the most complex environments.
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