Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Predict and Prevent: How AI is Changing Insider Risk Management

Insider risk has become one of the most urgent and financially consequential cybersecurity challenges for today’s organizations. Insider Risk is a top concern for the C-Suite and Boards, and organizations must be prepared to detect and respond to insider risks. In fact, according to IBM’s Insider Threat Report, 83% of organizations reported at least one insider-related security incident in 2024 (IBM, Insider Threat Report, 2024).

"Trust in AI Starts with Transparency | Sebastian Goodwin (Autodesk) x Reach Security"

Trust in AI starts with transparency. In our recent conversation, “No Time to Drift,” Sebastian Goodwin, Chief Trust Officer at Autodesk, shares how his team is putting that principle into practice — by creating AI Transparency Cards. Think of them like nutrition labels for AI: clear, consistent, and designed to help customers understand what’s inside. Each one outlines what the model does, how it’s trained, safeguards in place, and more.

How Responsible AI Governance Strengthens Cybersecurity Defenses

Here's something that should keep you up at night: cybercrime might cost the global economy $10.5 trillion every year by 2025. That's not a typo. Traditional security measures? They're already struggling to keep pace. Attackers have figured out how to weaponize artificial intelligence, launching sophisticated campaigns that waltz right past conventional defenses like they're invisible.

Seven Bibliography Mistakes SparkDoc Catches, Plus How to Keep Them Out of Your Drafts

Good writing can wobble at the finish line when the references go wrong. Reviewers notice. Teachers notice. Readers who care about sources notice first of all. Bibliography mistakes do not only weaken credibility, they slow down the whole process because every small error leads to another round of checking. This guide looks at the errors that appear again and again, plus how an AI-aware workflow reduces them without turning the page into a sales pitch. The goal is a clean, verifiable bibliography that supports the argument rather than distracts from it.

Reach Security Recognized as a CRN® 2025 Stellar Startup!

Reach Security announces that CRN , a brand of The Channel Company, has included Reach Security on its 2025 Stellar Startups list in the Security category. This prestigious list highlights fast-rising technology vendors that are driving innovation and fostering growth in the IT channel with groundbreaking products.

If AI Security were food...What's on the menu? #aisecurity #food

How do you explain AI Security without the jargon? Easy you make it food. In this video, we asked leading AI Security professionals to describe AI Security as a dish. Their answers turn complex ideas like prompt injection, data leaks, and model hardening into bite-sized insights you’ll actually remember. From layered lasagna to spicy tacos, each response brings a fresh perspective on what it means to build and protect secure AI systems.

Turn AI ambition into secure operations

If you attended AWS re:Invent last year, it probably felt like there was an AI solution for everything. Models, copilots, agents; by the end, someone had to pitch an AI solution to summarize all of the other AI solutions. This year, it may still feel like the AI announcements multiply faster than the models themselves. Under all of the hype, one message still resonates: AI innovation only works when it’s built on a secure foundation.

Language Switching Attacks: The New Threat Vector in LLM Security

Language Switching Attacks: The New Threat Vector in LLM Security In this clip from "Securing AI Part 4: The Rising Threat of Hidden Attacks in Multimodal AI," Diptanshu Purwar discusses the growing trend of language-switching attacks. These techniques exploit the ongoing development and training gaps in Large Language Models (LLMs). Diptanshu explains how attackers can evade an LLM's built-in filters and guardrails by rapidly shifting between different languages, particularly less common ones, to find weaknesses where the model's safety data is sparse.

AI Browsers Are Silently Exfiltrating Sensitive Data - and Legacy DLP Can't See It

A new class of AI-powered browsers are rewriting the rules of data security. While CISOs focus on traditional vectors, employees are unknowingly creating permanent backdoors to your most sensitive data through browsers that remember everything, sync everywhere, and share it all with AI models. The bottom line: If you're not actively protecting against AI browser exfiltration, you're already leaking data. Here's why it's happening, what it costs, and how to stop it today.