Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How CIOs and CISOs are unlocking AI's full value: 5 real-world takeaways

Recent research from Forrester Consulting commissioned by Tines, Unlocking AI’s full value: How IT orchestrates secure, scalable innovation, underscores the essential role IT leaders must play in AI orchestration, as well as the challenges that stall adoption – and the opportunities that await those who overcome them. But how do these findings translate to real life, and what are leaders and practitioners doing to navigate this landscape?

Mastering LLM Privacy Audits: A Step-by-Step Framework

Language models now touch contracts, tickets, CRM notes, recordings, and code. That means personal data, trade secrets, and regulated content move through prompts, embeddings, caches, and third-party endpoints. If your audit still reads like a generic security review, you will miss the places where leaks actually happen. A modern LLM Privacy Audit Framework starts where the risk starts.

It's time to rethink shadow AI.

It's time to rethink shadow AI. We've been told it's a fringe activity. A risk from rogue employees. Our new research proves that wrong. This is, ironically, no longer a "shadow" problem. It's a universal workflow hiding in plain sight. The question is no longer "how do we stop it?" It's "how do we manage it?" Our new report lands next week with the date you need to start answering that important question.

Seemplicity's AI Agents: Clarity

Meet Clarity, the first of Seemplicity’s four new AI Agents transforming how security teams understand and act on vulnerabilities. Instead of cryptic scanner outputs and confusing CVE text, Clarity turns dense technical data into clear, actionable narratives — explaining what happened, why it matters, and how to fix it. With Clarity, you can: Translate vulnerability data into plain language Improve collaboration between security, IT, and engineering Accelerate remediation and reduce exposure fatigue.

What is KeeperAI?

KeeperAITM is an agentic, AI-powered engine embedded within KeeperPAM that delivers real-time threat detection and response, as well as privileged session analysis. Built for Privileged Access Management (PAM), KeeperAI monitors user activity, providing behavioral insights and automated incident response in both live SSH sessions and post-session playback.
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The Shift Left of Boom: Making Cyber Threat Prevention Practical Again

The old saying "prevention is better than cure" has lost currency in today's cybersecurity industry. Instead, security teams are advised to assume that the business has been breached and focus on threat detection, investigation, response, and recovery. Yet, during cyber incident post-mortems, it is not uncommon to find that the business owned the tool that would have protected it against the breach. The problem arose because it wasn't correctly configured before the incident happened, and no one knew this - or if they did, they didn't have the time or resources to fix it.

Securing the AI Browser Revolution: How Cato Helps Mitigate Risks in OpenAI Atlas

The launch of OpenAI Atlas, an AI-powered browser that merges ChatGPT’s intelligence with a full web experience, marks a major leap in how people interact with the internet. Instead of typing queries or clicking through pages, users can now ask, act, and automate, delegating browsing tasks to AI agents capable of retrieving data, filling in forms, or performing actions on their behalf. For businesses, Atlas represents both opportunity and risk.

CrowdStrike Leads New Evolution of Security Automation with Charlotte Agentic SOAR

AI has transformed both how attackers operate and how defenders must respond. Today’s adversaries use AI to shift tactics in real time, forcing defenders to react at unprecedented speed. Many SOCs struggle to keep pace due to the limits of legacy automation. Even the most mature playbooks can’t anticipate every scenario or data variation, because playbooks are predictable — but adversaries aren’t.

Welcome to Agentic Park: What chaos theory teaches us about AI security

The first time it happened, nobody noticed. An automation reconciled a ledger, logged its success, and shut itself down. The token that made it possible looked harmless. Tidy, legacy, supposedly scoped “just enough.” But a week later, refunds ghosted, dashboards blinked, and audit logs told three different versions of the truth. And that token? Not a token at all. More like a Fabergé raptor egg sitting in a server room. Not decoration. Incubation. Of chaos.