Louis Columbus covers how AI, machine learning, and analytics are providing enterprises with the insights they need to stay competitive and grow. Louis is also covering the latest developments of how AI is improving cybersecurity, endpoint security, and ransomware detection across the enterprise landscape.
Every SOC leader knows the feeling: drowning in alerts, blind to the real threat, stuck playing defense in a war waged at the speed of AI.
What separates the SOCs getting results from their AI strategies from those that don't begins with CISOs who take ownership of AI initiatives and anticipate roadblocks early, systematically demolishing legacy walls that get in the way.
Chinese hackers automated 90% of an espionage campaign using Anthropic’s Claude, breaching four organizations of the 30 they chose as targets.
The shark from Jaws attacked without warning, showing how an apex predator exploits chaos to create lethal, devastating harm on its prey. Now, Forrester says, gen AI has become that predator in the hands of attackers: The one that never tires or sleeps and executes at scale.
Integrating AI models directly into extended detection and response (XDR) platforms is delivering breakthrough improvements in SOC investigation speed and accuracy.
It’s 3:37 am on a Sunday in Los Angeles, and one of the leading financial services firms on the West Coast is experiencing the second week of a living-off-the-land (LOTL) attack. A nation-state cyberattack squad has targeted the firm’s pricing, trading and valuation algorithms for cryptocurrency gain. Using common tools, the nation state has penetrated the firm’s infrastructure and is slowly weaponizing it for its own gain.
Cisco executives make the case that the distinction between product and model companies is disappearing, and that accessing the 55% of enterprise data growth that current AI ignores will separate winners from losers.
Adversaries from cybercrime gangs to nation-state cyberattack squads are fine-tuning weaponized AI with the goal of defeating new patches in 3 days or less.
The same connectivity that made Anthropic's Model Context Protocol (MCP) the fastest-adopted AI integration standard in 2025 has created enterprise cybersecurity's most dangerous blind spot.
Adversarial AI attacks at machine speed surpass how fast SOC analysts can respond, forcing a new era of agentic AI cyberdefense.
Poorly designed internal AI apps are failing to deliver the experiences employees need to excel, further fueling shadow AI's growing dominance.