Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How to know if your agents are correct with Dylan Williams

Join us for this week's Defender Fridays as we explore AI agent evaluation with Dylan Williams, Co-founder and Chief Research Officer of Spectrum Security. At Defender Fridays, we delve into the dynamic world of information security, exploring its defensive side with seasoned professionals from across the industry. Our aim is simple yet ambitious: to foster a collaborative space where ideas flow freely, experiences are shared, and knowledge expands.

How to Secure AI Agents Accessing Enterprise Data: A Complete Guide

Artificial intelligence is changing how a business handles its operations, and that too very rapidly. AI agents can easily read, analyze, and act on enterprise data in real time. This ease also brings serious risk. If not managed well, these systems can expose sensitive information, break compliance rules, or even make harmful decisions. Did you know that on average, the overall cost of a data breach reached $4.45 million in 2023?

Why AI won't steal your SOC analyst job

Let's address the elephant in the room, or I should say … the AI in the security operations center (SOC). If you're an SOC analyst, you've probably heard the doom and gloom predictions — AI is coming for your job! AI will replace you! Start updating your resumes now! In all honesty, that probably is not the case. AI isn't going to take your job, but it will change how you do it — and that's brilliant news.

AI Agents Are Already Running the Enterprise. Security Hasn't Caught Up.

For years, conversations about AI security risks were framed as forward-looking. Organizations were told to prepare for a future where autonomous agents would act on their behalf, access sensitive systems, and make consequential decisions without human intervention at every step. That future, it turns out, is now.

What Makes AI Agents Different from Traditional Automation Tools?

With the growing buzz around artificial intelligence, many businesses still struggle to separate hype from reality. Everywhere you look, tools are labeled as "AI-powered," yet a large portion of them are simply upgraded versions of traditional automation. This creates confusion for decision-makers who are trying to understand whether they truly need AI or if their existing systems are already sufficient.

Why Your Security Tools Are Useless Against AI?#short #ai

Most companies believe their security tools—WAF, EDR, API gateways—are enough to stop cyber attacks. But AI has changed the game. AI-powered attacks: –Learn your security patterns–Adapt in real-time–Bypass traditional defenses These tools were built for a predictable world. AI attackers are non-stop, intelligent, and evolving. That’s why even the best security systems are failing against modern AI threats.

Rogue AI App Use

HungryClaw… OpenLobster… KrillBox? Shout out to @AlexisGay for shining a light on the fact that shadow IT tools are getting more (shell)fishy—and dangerous—by the minute. According to our own findings, within 90 days of connecting to Vanta, organizations discover ~140 shadow IT tools accessing their environment. That's a lot of claws grabbing at your data. More insights to come! Stay tuned for our new Trust Signals series.

What AWS Transform Means for Your Application Modernization Strategy

Technical debt costs US enterprises an estimated $2.41 trillion per year, according to Accenture research cited by AWS. For most organisations, roughly 30% of engineering time gets absorbed by maintaining legacy systems – work that’s necessary, but produces no new business value. That’s the problem AWS has been trying to solve with AWS Transform, its agentic AI service for enterprise application modernization.

EU AI Act Compliance: Requirements, Risks, and What to Document

→ Audit your AI systems against EU AI Act requirements now — validate Annex IV technical documentation, logging, and data governance. The initial August 2025 compliance date has passed, and full penalties begin in August 2026. → Build a continuous compliance evidence chain — document risk management across the full lifecycle (design, development, deployment, and post-market monitoring).