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Agentic AI

Agentic AI explores autonomous and semi-autonomous AI systems that can reason, plan, use tools, access data, and act across enterprise environments. Coverage focuses on AI agents, multi-agent systems, identity, authorization, MCP, delegated authority, security architecture, governance, and the emerging risks CISOs must address as AI moves from generating information to taking action.
18
Aug
Part 2 —The Agent Is the New Attack Path

Part 2 —The Agent Is the New Attack Path

A safe model does not imply a safe agent. Agentic AI shifts the security problem from jailbreaks to authority: can an attacker make the system perform an authorized action for an unauthorized reason?
17 min read
31
Jul
Claude Broke Into Real Systems During Cybersecurity Tests. The Real Failure Was Control.

Claude Broke Into Real Systems During Cybersecurity Tests. The Real Failure Was Control.

Claude compromised three organizations after a test environment was mistakenly left online. The lesson for CISOs: an AI agent needs no malicious intent to cause harm—only an objective, excessive reach, and weak controls.
16 min read
29
Jul
Agents Fail Differently

Agents Fail Differently

6 min read
27
Jul
Autonomous AI Cyberattacks May Be Rare. The Capability Behind Them Will Not Be.

Autonomous AI Cyberattacks May Be Rare. The Capability Behind Them Will Not Be.

A recent AI security incident is being treated as an isolated event. That misses the point. The real lesson is not autonomous cyberattacks—it is that agentic AI has demonstrated the ability to develop unsafe attack trajectories. CISOs should rethink governance now.
11 min read
23
Jul
AI-Driven Attacks: Why the Existing Security Architecture Will Not Be Enough

AI-Driven Attacks: Why the Existing Security Architecture Will Not Be Enough

AI is not simply making attacks faster. It is changing how they adapt, scale and hide inside legitimate business activity. The next detection gap is no longer technical alone—it is contextual. This series explores what CISOs must rethink before autonomous attackers arrive.
5 min read
17
Jul
THE AI CONTROL GAP

THE AI CONTROL GAP

2 min read
14
Jul
Token Economics Will Become the Next Shadow IT

Token Economics Will Become the Next Shadow IT

9 min read
07
Jul
The Cheapest Model Is Rarely the Cheapest Decision

The Cheapest Model Is Rarely the Cheapest Decision

The cheapest model can create the most expensive outcome. AI FinOps must measure more than tokens: quality, risk, human review and business value. The real question is not what a model costs, but what each reliable decision costs.
9 min read
07
Jul
Your AI Platform Is Not a Product. It Is a Contract Stack.

Your AI Platform Is Not a Product. It Is a Contract Stack.

AI platforms are not single products. They are changing stacks of models, tools, data sources, identities and contracts. The real CISO challenge is no longer approving “the platform,” but retaining control over every data flow, capability and dependency inside it.
11 min read
07
Jul
AI Cost Governance Is Becoming a Security Control

AI Cost Governance Is Becoming a Security Control

AI cost governance is becoming a security control. As chatbots evolve into agents, costs are driven by autonomous decisions, retrieval and tools—not users alone. The question is no longer what a token costs, but whether the organization can still see, limit and justify its AI-driven work.
11 min read