Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

On September 25, 2025, Cisco released fixes for two vulnerabilities in Adaptive Security Appliance (ASA) and Firewall Threat Defense (FTD) that are currently being actively exploited by a sophisticated threat actor. The US Cybersecurity and Infrastructure Security Agency (CISA) issued Emergency Directive 25-03 requiring Federal Civilian Executive Branch (FCEB) agencies to patch these vulnerabilities by 12 PM EDT on September 26.

In the rapidly evolving landscape of enterprise AI, the ability to seamlessly connect organizational knowledge with intelligent systems is a critical differentiator. While LLMs excel at reasoning and generation, their true potential is unlocked only when they can access and process the vast repositories of institutional knowledge driving your organization’s business decisions.

Penetration testing is one of the most effective ways to gauge your organization’s cybersecurity readiness. While traditional security tools can block everyday threats, a penetration test (or pen test) demonstrates what might happen if a particularly clever or dedicated threat actor decided to attack your network. A well-executed pen test can reveal unexpected cybersecurity holes in both the technological and human layers at your organization.

AI is no longer just a future concern. It is deeply embedded in both offense and defense. With new exploits surfacing, massive open-source model use, and attackers growing more creative, the risks we warned about are now very real.

When I talk to customers about AI these days, I usually get two very different reactions. Some lean forward, excited about the promise: fewer alerts, faster response, maybe even lights-out SOC operations someday. Others lean back, uneasy about the risks: does this mean attackers will be able to run thousands of hacks at once, automatically? The truth is, both reactions are justified. We are at the start of a shift toward agentic AI. This is not the same as today’s AI copilots that wait for prompts.

Artificial intelligence has stormed the enterprise world, and it's not slowing down anytime soon. With thousands of AI-powered applications, from large language models (LLMs) to productivity-boosting copilots, employees are tapping into AI to work smarter and faster. But here’s the rub: while AI can supercharge productivity, it also brings along a Pandora’s box of risks.

Security teams have struggled for far too long with a patchwork of siloed security tools, static compliance checks, and an increasingly adversarial threat landscape to continue down that path, especially when each of these challenges is making their organizations more vulnerable by the minute. Previously in this CRPM series, we’ve established that traditional security approaches are no longer adequate to keep pace against AI-driven attacks and the multi-pronged missions of cybercriminals today.

We’ve known it’s been coming, but it’s finally here: CMMC is no longer optional. Approval to issue the new Final Rule was fast-tracked, and the deadline is looming.

In the era where technology plays a core part in everything, fintech and blockchain have emerged as transformative forces for businesses. They not only reshape the financial landscape but also promise unparalleled transparency, efficiency and security as the world move forward to digital currency. That’s when you know being updated about SOX Compliance in Blockchain & Fintech are important than ever.

Carding is a type of cybercrime where attackers steal or illegally buy credit card information and use it to make unauthorized transactions. It often involves testing stolen card numbers with small purchases before making larger fraudulent charges. Criminals typically exchange or sell these stolen details on underground forums or dark web marketplaces. Outpost24’s Threat Intelligence team, KrakenLabs, carried out a previous public analysis of the underground card fraud ecosystem in 2022.