We at CompFly AI tested TypeSafe AI’s JEV decision model on 500 AI agent tool-action cases. Our analysis examines those results in detail, including the failure cases, prompt-injection testing, and a comparison across four model configurations.
https://t.co/xw35HeyIbV
#AgentSecurity #AIAgents #AIControls #AIGovernance #ResponsibleAI #AIInfrastructure #AgenticSystems #AISafety #EnterpriseAI
A prompt-injection defense that blocks everything can look very secure while leaving your agent unable to work.
In our AgentDojo evaluation, attack success dropped from 30.8% → 0.3%. But that number alone doesn’t tell you whether the defense is actually deployable.
We broke down the tradeoffs, failure modes, and why engineering & security teams need to measure task completion alongside attack success. @CompFlyAI
https://t.co/8F15So9Eeq
Next in our "Question of the Day" series.
Q: How do we secure autonomous coding agents without slowing down our developers?
A: You stop using static security checklists for dynamic, autonomous actors.
You can't put a traditional security gate in front of an AI that plans, writes, and executes code in seconds. To match the speed of agentic AI, you need an observability and governance layer built natively for it. Stop choosing between innovation and security. Give your AI guardrails that actually move at the speed of code.
Learn how at: https://t.co/5sLuRzcsZQ
#DevSecOps #AICoding #CyberSecurity #AIGovernance #SoftwareEngineering #CompFlyAI
Venkat Siva (Sivasubramanian) Co-founder & CEO @CompFlyAI joined Jason Whitehead and Jason Noble on Breakthrough SaaS Growth to talk about what happens when AI agents start taking real actions inside the enterprise. If you’re thinking about trust, accountability, and moving agents from demos into production, this is worth a listen.
https://t.co/OSwbo2h8gZ
If an AI coding agent tries to push sensitive data to an external bucket, will your current tools stop it before the command runs?
Here's our take on why Copilot, Cursor, and Claude need one set of governance rules, not three. @CompFlyAI AI puts a single policy in front of all your coding agents and blocks the bad call before it runs. Take a look if your team is rolling out coding agents.
https://t.co/GFrWQKnm6q
Q: What is transitive delegation in the context of AI agents?
A: Transitive delegation occurs when a human delegates a task to an AI agent, and that agent delegates sub-tasks onward to other sub-agents, APIs, or tools.
@CompFlyAI#ai#Agents#delegation
Next in our "Question of the Day" series:
Q: Won't adding governance slow our agent rollouts down?
A: No, the delay comes from manual review cycles:
• Agents stuck waiting for security & compliance sign-offs
• Re-approval tickets needed every time a prompt or model updates
• Engineering momentum stalled by fear of rogue tool calls
A runtime control plane changes the equation from manual friction to automated assurance:
- Policies check and enforce every tool call in real time
- Guardrails become an active property of the system, not a ticket queue
- Teams deploy and iterate continuously without review bottlenecks
Embed agent governance from code to production with CompFly AI: https://t.co/yxcHcVjTQp
#AIAgents #AIGovernance #CompFly #AgenticAI
@CompFlyAI AI's Co-founder & CEO Venkat Siva spoke with @YitziWeiner of @AuthorityMgzine about where AI is heading, what changes when agents become autonomous, and why trust will be critical to enterprise adoption.
Thanks, Yitzi, for the thoughtful conversation.
https://t.co/Q7N1gDZDK9
Next in our “One Hard Question” series.
An eval can show a green score and still be wrong for your business. If the judge prompt, few-shot examples, or guardrail logic were written for a different domain, you may be measuring the wrong thing with high confidence. The score looks reassuring but the outcome is not.
Have you read the prompt behind your evals and guardrails or just the score?
#evals #ai #agent
“The Blind Men and the Elephant” feels super relevant for agentic AI. Identity sees one part. Endpoint, network, data, and telemetry each see other parts. None can answer the enterprise’s final question: should this agent be allowed to take this action now?
At @CompFlyAI we are building the layer that brings those signals together at the moment of action so enterprises can grant agents more autonomy, move them into production faster, and realize the ROI instead of leaving valuable use cases stuck in risk review.
#AI #Governance #RISK @OpenAI@AnthropicAI #Security
Next in our “One Hard Question” series.
An agent can begin with an approved model, hit a budget limit, and finish with a fallback without a new approval or alert. The customer still gets an answer, but the model making the decision may not be the one you reviewed.
If your agent switches models mid-run, would your controls know before the outcome changes?
#agent #AI #security #governance #LLM