Cisco AI Defense Alternatives for AI Agent Security
Cisco AI Defense alternatives as of October 2026: what the product covers, where Cisco is strong, and which category fits when you need agent-level control.
AI agent security, identity, governance, cost, and the engineering behind the control plane.
Cisco AI Defense alternatives as of October 2026: what the product covers, where Cisco is strong, and which category fits when you need agent-level control.
Credo AI and Holistic AI as of October 2026: how the two AI governance platforms compare, where each is strong, and when a runtime control plane fits too.
Lasso Security alternatives as of October 2026: discovery, red teaming and inline protection, its open-source MCP gateway, and how other categories compare.
Microsoft Entra Agent ID as of October 2026: what agent identities, Conditional Access and ID Protection do for agents, and what a control plane adds.
Pangea alternatives as of October 2026: AI Guard and Pangea's security APIs, the CrowdStrike deal, and which category fits when you need more than guardrails.
Prisma AIRS alternatives as of October 2026: what Palo Alto Networks' AI security platform covers, where it is strong, and when an agent control plane fits.
garak scans models, PyRIT scripts multi-turn attacks, promptfoo tests applications. What each finds, what none of them see, and how to close the agent gap.
Pickle model files can run arbitrary code the moment they load. Why scanners miss payloads, how safetensors fixes it, and how to gate what agents load.
ASCII smuggling hides prompt-injection instructions and exfiltrated data in invisible Unicode tag characters. How it works and how to strip it both ways.
LLMs memorise parts of their training data and can be prompted to emit it verbatim. How extraction attacks work and the controls for fine-tunes and outputs.
Yes, if monitoring is proportionate, transparent and focused on what AI systems do, not on people. A GDPR checklist covering DPIA, works councils and logs.
Computer-use agents see the screen and drive mouse and keyboard with your session. Isolate them in a VM, allow-list actions, and gate irreversible steps.
Often, yes. A few examples can erode refusals and narrow tasks can cause emergent misalignment. Re-test every fine-tune and keep guardrails outside the model.
EchoLeak (CVE-2025-32711) let one email make Microsoft 365 Copilot leak data with no user click. How the chain worked and which controls break it.
Embedding inversion can reconstruct text from vectors, so treat embeddings of personal data as personal data: erasure, residency and access duties apply.
Article 4 of the EU AI Act asks providers and deployers to support staff AI literacy. What it requires, how to evidence it, and how it ties to agent approvals.
Article 73 of the EU AI Act sets 2, 10 and 15-day clocks for reporting serious incidents with high-risk AI. What counts, who reports, and the evidence to keep.
ChatGPT and Claude connectors link chat assistants to company data, often past IT review. Allow-list, scope and audit them like any other MCP server.
An AI bill of materials lists the models, datasets, tools and MCP servers an AI system depends on. How to build one, and CycloneDX ML-BOM vs SPDX 3.0.
Measure guardrails on block precision, recall, latency and bypass rate. Build a test set, replay real traffic in shadow mode, then set thresholds per policy.
Set up an AI governance committee with a charter, RACI and meeting cadence. The committee decides policy; a control plane enforces it and feeds the board pack.
Blocking ChatGPT drives use underground. Give staff a sanctioned path through a gateway with block and redact guardrails, then close the side doors.
A step-by-step AI agent threat model: map the layers with MAESTRO, enumerate threats per component with STRIDE, rank by blast radius and record the controls.
OWASP ASI09 covers attacks that exploit human trust in agents. Approval fatigue turns HITL into theatre; risk-tiered approvals with evidence fix it.