Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Agentic AI Security: MITRE ATT&CK Coverage Analysis in Minutes

LimaCharlie's Agentic SecOps Workspace (ASW) enables true agentic security operations. With us, AI doesn't just advise but actively operates within your security environment. We do this by integrating everything, including AI, on our cloud platform via API. Our approach delivers superior AI security automation capabilities at a fraction of the cost, allowing security teams to scale operations without growing headcount.

What are AI skill-gaps new defenders can leverage? #cybersecurity #ai #podcast

AI skill gaps are a real conversation right now, and Chris Cochran, Field CISO and VP of AI Security at SANS Institute, breaks it down into three practical buckets for defenders who want to stay ahead. Start by figuring out what you can offload to AI: summarization, enrichment, repetitive tasks. Save the deterministic decisions for humans. Then learn how to secure AI itself: Finally, understand governance. Not just the technical side, but what your company is actually trying to do with AI. Security practitioners who can enable the business, not just protect it, become irreplaceable.

VCF 9, Infrastructure, and the AI Revolution

Artificial intelligence is changing the IT landscape in radical, unprecedented ways. It’s rewriting the rules of code generation, automating complex customer service interactions, and providing data insights that used to be impossible to extract, even in recent decades. However, for IT managers and those responsible for keeping the lights on, AI represents a massive shift in infrastructure requirements.

AI Risk Management: Process, Frameworks, and 5 Mitigation Methods

AI risk management is the process of identifying, assessing, and mitigating risks associated with artificial intelligence systems to ensure they are developed and used responsibly. It involves using frameworks like the NIST AI Risk Management Framework to address technical, ethical, and social challenges, including data bias, privacy violations, and security vulnerabilities.

Prompt Injection Attacks: Why AI Security Starts with IAM

AI agents are rewriting the rules of efficiency, but one hidden flaw could turn them against you. Prompt injection attacks let hackers hijack your AI, steal data, and break safeguards straight through everyday inputs. No code exploit is required, only a clever manipulation. Identity and Access Management (IAM) plays a massive role in AI security to protect at first hand.

How AI Agents Impact SOC 2 Trust Services Criteria

SOC 2, which stands for Systems and Organization Controls 2, is a framework developed by the American Institute of Certified Public Accountants (AICPA) to evaluate controls for security, availability, processing integrity, confidentiality, and privacy. As agentic AI systems begin acting autonomously, AI and SOC 2 compliance become closely linked. These systems drive new efficiencies, but also introduce new risks.

AI Misinformation as a Cyber Risk - What UK SMEs Need To Know

A recent BBC investigation highlighted how easily large-scale AI models can be influenced by misleading content scraped from the web. Within hours of a deliberately false article being published, multiple generative AI systems were repeating the fabricated facts as if they were true. This was not a code flaw; it was a predictable outcome of how these models process and prioritise input.

AI Agents: How Your New Employee Brings More Security Risks

AI agents aren’t applications. They’re employees. So why are we treating them like applications? AI agents don’t behave like classic applications. They access systems. They make decisions. They operate continuously. They interact with humans and other systems without being explicitly triggered each time. That’s not automation. That’s not scripts. That’s a digital worker.