Artificial intelligence has moved from a support role in cybersecurity into an operational one. Security teams that once relied on dashboards, alerts, and manual triage are now piloting AI agents that can watch telemetry around the clock, investigate
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Summary: Why Agentic AI Is the Real AI Breakthrough
2025 has been the year for the buzzword “AI”, and now 2026 is leading the way for “Agentic AI” - a notch up from AI. Start slow, develop gradually, build the best skillset by the end of 1st half of 2
Actionable Insights For CISOs:
1) Upgrade Awareness & Training
Update phishing simulations to include realistic, AI-crafted messages and voice/video deepfakes.
Train employees that polished language ≠ legitimacy; focus on verifying identity and
Actionable Insights for CISOs
1. Evaluate the Viability of Decoupled SIEM Architectures
While decoupled SIEMs offer flexibility by separating data collection, storage, and threat detection, they may introduce complexity and integration challenges. As
In an age where AI-driven agents increasingly handle sensitive requests, the critical question is: how do we trust the identity behind every interaction? Traditional methods like passwords and OTPs are proving inadequate in stopping fraud, deepfakes,
The Human Story: Alert Fatigue Is Real
If you’ve ever sat in a SOC at 2 a.m., drowning in a wall of alerts, you know this truth: fatigue kills focus. SOC analysts spend hours triaging false positives, while true threats quietly slip through the noise.
Lately, a lot of people have been asking me about what “triggers” threat modeling. The question confused me: you think about threats as part of any design decision! There are lots and lots of design decisions, ranging from tiny to enormous. For each,
By Byron V. Acohido
SAN FRANCISCO — The first rule of reporting is to follow the tension lines—the places where old assumptions no longer quite hold. Related: GenAI disrupting tech jobs
I’ve been feeling that tension lately. Just arrived in the City
Selecting the right attack surface management vendor is essential for safeguarding sensitive data and securing your organization against vulnerabilities. Attack surface management involves identifying and mitigating risks across your digital footprin
In a recent panel discussion, industry experts discussed the evolution and challenges of implementing Extended Detection and Response (XDR) solutions. The conversation highlighted the shift from traditional antivirus measures to comprehensive solutio
AI tech is a powerful tool. The original photo (left) was cleaned-up with an AI deep learning algorithm (Image source: from Murilo Gustineli) and restoring tremendous clarity.
The AI researchers outline their progress in their white paper Towards Real
The boundaries of cybersecurity will be manipulated by the advances in Artificial Intelligence, the evolution of digital threats, and on ever-adapting leadership.
I had a great time being interviewed by Vaishali Lambe [Lisha] in her podcast SoLeadSa
Artificial intelligence – more specifically, the machine learning (ML) subset of AI - has a number of privacy problems.
Not only does ML require vast amounts of data for the training process, but the derived system is also provided with access to even
Applied Machine learning for data exfiltration and other fun topics
The goal of this presentation is to help researchers, analyst, and security enthusiast get their hands dirty applying machine learning to security problems. We will walk the entire pi
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